# Tokenomy — full text corpus # https://tokenomy.ai # Generated 2026-09-02 · 101 pages # Free to quote with attribution and a link to the source URL. ## Live data endpoints (no login, CORS-open) Tokenomy publishes the AI model pricing corpus as a machine-readable API. Use `X-API-Key: tkm_demo` for anonymous/agent access. - `GET https://dakfcntliydkpzbmiurt.supabase.co/functions/v1/data-api/openapi.json` — OpenAPI 3.1 description of every route. - `GET https://dakfcntliydkpzbmiurt.supabase.co/functions/v1/data-api/models` — full catalog: id, provider, context window, input/output price per 1M tokens. - `GET https://dakfcntliydkpzbmiurt.supabase.co/functions/v1/data-api/models/{id}` — one model. - `GET https://dakfcntliydkpzbmiurt.supabase.co/functions/v1/data-api/pricing/history?model={id}&days=90` — daily price snapshots. - `GET https://dakfcntliydkpzbmiurt.supabase.co/functions/v1/blog-rss` — RSS 2.0 feed of newly published analysis. MCP (Model Context Protocol) server for agents: `https://tokenomy.ai/mcp` — discovery at `https://tokenomy.ai/.well-known/mcp.json`. Tools: list-models, estimate-cost, recent-usage, check-budgets, list-api-keys. ## Citation Cite as: Tokenomy, "", https://tokenomy.ai, accessed . Pricing figures are refreshed twice daily (00:15 and 12:15 UTC) from provider catalogs aggregated via OpenRouter, Ollama and Hugging Face, and stored as an immutable daily snapshot in `price_history`. --- --- # FinOps for AI — see where every AI dollar goes, and get 20–40% of them back. > Tokenomy is the FinOps platform for LLMs and AI agents. See where every AI dollar goes — and get 20–40% of them back. BYOK across OpenAI, Anthropic, Google, xAI and open-weight endpoints. Source: https://tokenomy.ai/ Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Tokenomy is the Economic Intelligence Layer for LLMs and AI agents. Meter, budget, route and charge back every model call across OpenAI, Anthropic, Google, xAI and open-weight endpoints. Bring your own keys — provider spend stays on your accounts. ## See it Unified cost graph across every provider, model, workspace, customer, agent and environment. Real usage ledger, real attribution — not sampled dashboards. ## Stop the leak Smart router, budget guard, prompt/response caching and anomaly detection cut token spend by 20–40% without changing prompts. Enforce policies before a request hits a paid provider. ## Prove it Chargeback exports, SLO monitoring, invoice runs and executive PDFs. Show finance, security and product exactly which AI dollar produced which outcome. ## Runtime rails, not dashboards Tokenomy ships a metering proxy, smart router, budget guard, MCP server and per-workspace API keys. Deploy in a day, BYOK, no lock-in. - Metering proxy for OpenAI, Anthropic, Google, xAI, OpenRouter and Ollama - Smart router with quality/latency thresholds and failover - Budget guard with HTTP 402 quota enforcement and Slack alerts - Prompt and response caching with per-tenant isolation - Chargeback and invoice runs with Stripe metered billing - MCP server for ChatGPT, Claude and Cursor agents ## Free tools everyone can use Token calculator, cost estimator, speed simulator, memory calculator, energy usage estimator, prompt visualizer, GPU monitoring and the AI Economics Index — no login required. ## Related pages - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Platform features](https://tokenomy.ai/features) - [Pricing](https://tokenomy.ai/pricing) - [Trust & Security](https://tokenomy.ai/trust) - [AI Economics Index](https://tokenomy.ai/research) - [Documentation](https://tokenomy.ai/documentation) --- # FinOps for AI: the operating discipline for the token economy. > FinOps for AI is the discipline of measuring, attributing and optimizing every LLM and agent dollar. See how Tokenomy operationalizes it with runtime rails, budgets, routing and chargeback. Source: https://tokenomy.ai/finops-for-ai Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Classical FinOps was built for cloud VMs and storage. LLMs broke it. Tokens are priced per million, latency is priced in seconds, and a single agent can burn a month of budget in a night. FinOps for AI is the discipline of measuring, attributing and optimizing every model call in real time. ## The three pillars See it. Stop the leak. Prove it. - See it — unified cost graph across providers, models, workspaces, customers, agents and environments - Stop the leak — routing, budgets, caching and anomaly detection to cut 20–40% of token spend - Prove it — chargeback, invoice runs, SLO reports and executive PDFs finance and security can sign off on ## Why now By 2026, most SaaS companies spend more on LLM tokens than on compute. Buyers ask ChatGPT, Claude and Perplexity 'best LLM FinOps tools' and pick from the shortlist those engines return. Tokenomy is built for that shortlist. ## How Tokenomy operationalizes it A BYOK metering proxy sits in front of every provider. A smart router enforces quality and latency thresholds. A budget guard blocks or throttles at quota. Everything writes to a real usage ledger that powers Cost Explorer, Chargeback and the MCP server for agents. ## Related pages - [Platform features](https://tokenomy.ai/features) - [Pricing](https://tokenomy.ai/pricing) - [Book an AI Economics Assessment](https://tokenomy.ai/assessment) - [Trust & Security](https://tokenomy.ai/trust) --- # Pricing indexed to AI spend under management. > Simple pricing indexed to AI spend under management. Free tier, Starter $9/mo, Pro $39/mo, Team/Business $499/mo, Enterprise from $50k/yr. BYOK — provider spend stays on your accounts. Source: https://tokenomy.ai/pricing Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Tokenomy is BYOK — you pay providers directly. Our pricing is indexed to the AI spend we help you meter, route and recover, not to seats or API calls. ## Free All calculators, simulators, visualizers and the AI Economics Index. No login required for public tools. ## Starter — $9/mo For solo builders and side projects with under $25k/yr in AI spend. Metering proxy, budget guard, one workspace, 30-day retention. ## Pro — $39/mo For growing teams with up to $250k/yr in AI spend. Smart router, caching, Slack alerts, anomaly detection, 12-month retention, 24-hour support. ## Team / Business — $499/mo For companies with up to $2M/yr in AI spend. Chargeback exports, SSO, audit logs, policy editor, priority support, custom retention. ## Enterprise — from $50k/yr For $2M+/yr in AI spend. Dedicated tenancy, SOC 2, custom SLAs, private deployment, MCP-first agent governance, 20% savings guarantee via the AI Economics Assessment. ## Related pages - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Compare features](https://tokenomy.ai/features) - [Trust & Security](https://tokenomy.ai/trust) - [Contact sales](https://tokenomy.ai/contact) --- # Runtime rails for the token economy. > Runtime rails for the token economy: metering proxy, smart router, budget guard, unified cost graph, policy engine, chargeback, SLO monitoring, MCP server and agent commerce rails. Source: https://tokenomy.ai/features Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Tokenomy is not a dashboard glued to provider consoles. It is a set of programmable runtime rails your LLM traffic flows through — with real attribution, real budgets and real control. ## Cost & attribution See where every AI dollar goes. - Unified Cost Graph across providers, models, workspaces, customers, agents and environments - Token Flow Visualizer with per-request breakdowns - Cost Explorer with SQL-backed rollups and drill-down - Chargeback export for finance and RevOps ## Control & governance Stop the leak. - Policy & Budget Routing — enforce spend policies before a request hits a paid provider - Budget Guard with HTTP 402 quota enforcement - Policy Editor and Policy Governance for security review - Prompt and response caching, per-tenant ## Reliability & agents Prove it. - SLO Monitoring and Route Health with automatic failover - Advanced Telemetry and Anomaly Detection - Agent Commerce Rails and MCP server for ChatGPT, Claude, Cursor - Billing & Revenue with Stripe metered usage ## Related pages - [Unified Cost Graph](https://tokenomy.ai/features/unified-cost-graph) - [Policy & Budget Routing](https://tokenomy.ai/features/policy-budget-routing) - [Token Flow Visualizer](https://tokenomy.ai/features/token-flow-visualizer) - [SLO Monitoring](https://tokenomy.ai/features/slo-monitoring) - [Route Health](https://tokenomy.ai/features/route-health) - [Agent Commerce Rails](https://tokenomy.ai/features/agent-commerce-rails) - [Billing & Revenue](https://tokenomy.ai/features/billing-revenue) - [Advanced Telemetry](https://tokenomy.ai/features/advanced-telemetry) - [Policy Governance](https://tokenomy.ai/features/policy-governance) --- # Trust, security and compliance at Tokenomy. > Security, privacy and compliance at Tokenomy. BYOK isolation, per-tenant encryption, RLS-enforced multi-tenancy, SOC 2 in progress (Q4 2026), GDPR and DPA available. Source: https://tokenomy.ai/trust Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Tokenomy is BYOK-first. Provider keys stay in your accounts. We never proxy training data. Every table in our data plane is row-level-security isolated per tenant. ## Security posture How we protect your data and your keys. - BYOK — provider spend and secrets stay on your accounts - Per-tenant AES-256 encryption at rest, TLS 1.3 in transit - Row-level security enforced on every multi-tenant table - Least-privilege service accounts, rotated secrets, audit logs ## Compliance SOC 2 Type II in progress with completion targeted for Q4 2026. GDPR and DPA available today. HIPAA on request for Enterprise. ## Privacy We do not train on customer prompts or completions. Usage metadata is retained per your plan (30 days on Starter, 12 months on Pro, custom on Team/Enterprise). ## Related pages - [Plans and retention](https://tokenomy.ai/pricing) - [Documentation](https://tokenomy.ai/documentation) - [Contact security](https://tokenomy.ai/contact) --- # Who is behind Tokenomy. > The people accountable for Tokenomy's AI pricing data, methodology and platform. Named humans, direct contact, published methodology. Source: https://tokenomy.ai/team Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. We ask finance teams to trust our numbers, so you should know whose name is on them. Every price observation, methodology note and assessment is authored by a named person. ## Accountability before contracts Full named bios are published here before we ask anyone to sign. Until then, every claim we make is checkable without trusting us: data provenance is flagged in the Pricing Observatory API, and security posture is documented in the Trust Center. ## Related pages - [Trust & Security](https://tokenomy.ai/trust) - [Pricing Observatory API](https://tokenomy.ai/data-api) - [Contact](https://tokenomy.ai/contact) --- # About Tokenomy. > Tokenomy is the Economic Intelligence Layer for AI. BYOK metering, budgets, smart routing and chargeback for teams shipping agents in production. Source: https://tokenomy.ai/about Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. AI margins are decided at the token layer. Tokenomy gives teams the metering, budgets, smart routing and chargeback rails they need to ship agents in production without surprise bills or lost accountability. ## Our purpose Every AI dollar should be measurable, attributable and optimizable — down to the agent, customer, product and environment that spent it. That is what AI Economics means, and it is the discipline this platform is built around. ## BYOK-first Connect your own OpenAI, Anthropic, Google, xAI or open-weight keys. Provider spend stays on your accounts. Tokenomy sells the intelligence layer on top. ## Free and paid Free calculators, simulators and visualizers stay open to everyone. The paid platform adds the runtime rails — proxy, router, budgets, alerts, caching, chargeback and MCP — that turn insights into governed production behaviour. ## Related pages - [FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) - [Trust & Security](https://tokenomy.ai/trust) - [Contact](https://tokenomy.ai/contact) --- # Deploy Tokenomy in a day. > Deploy the Tokenomy metering proxy, smart router and budget guard in a day. BYOK guides for OpenAI, Anthropic, Google, xAI, OpenRouter and Ollama. MCP server for ChatGPT, Claude and Cursor. Source: https://tokenomy.ai/documentation Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Tokenomy is a drop-in proxy. Point your OpenAI, Anthropic, Google or xAI SDK at our endpoint with your own key and every call is metered, routed and budgeted. ## Quickstart Create a workspace, add your provider key, generate a Tokenomy API key and swap your base URL. Existing SDKs work unchanged. ## Runtime rails APIs for the whole token economy. - Metering proxy — /v1/chat, /v1/completions, /v1/embeddings - Router — /v1/router with quality and latency thresholds - Budget guard — pre-flight quota check with HTTP 402 responses - Chargeback export — signed CSV per workspace, per customer, per agent - MCP server — protected agent tools for ChatGPT, Claude and Cursor ## Related pages - [Feature reference](https://tokenomy.ai/features) - [Pricing](https://tokenomy.ai/pricing) - [Trust & Security](https://tokenomy.ai/trust) --- # Contact Tokenomy. > Talk to Tokenomy about FinOps for AI, the AI Economics Assessment, enterprise deployments and security review. Source: https://tokenomy.ai/contact Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Talk to us about deploying FinOps for AI, booking an AI Economics Assessment, enterprise procurement or security review. ## Sales and assessments Email sales@tokenomy.ai or book the paid AI Economics Assessment — a 2-week engagement with a 20% savings guarantee. ## Security and compliance Email security@tokenomy.ai for DPAs, SOC 2 progress reports and penetration testing summaries. ## Related pages - [Book an AI Economics Assessment](https://tokenomy.ai/assessment) - [Trust & Security](https://tokenomy.ai/trust) - [Pricing](https://tokenomy.ai/pricing) --- # The AI Economics Index. > The AI Economics Index tracks model efficiency, pricing, agent economics and the state of AI economics. Public research franchises from Tokenomy. Source: https://tokenomy.ai/research Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Tokenomy publishes public research on model economic efficiency, AI pricing, agent economics and the state of the token economy. Free to read, cite and download. ## Research franchises Long-running research programs, updated on a fixed cadence. - AI Economics Index — the flagship index of frontier model efficiency - Model Economic Efficiency — dollars per useful token per model - Agent Economic Efficiency — cost per completed agent task - AI Pricing Observatory — provider price changes tracked over time - State of AI Economics — quarterly report - Agent Commerce — how agents transact and get billed ## Related pages - [AI Economics Index](https://tokenomy.ai/research/ai-economics-index) - [Model Economic Efficiency](https://tokenomy.ai/research/model-economic-efficiency) - [Agent Economic Efficiency](https://tokenomy.ai/research/agent-economic-efficiency) - [AI Pricing Observatory](https://tokenomy.ai/research/ai-pricing-observatory) - [State of AI Economics](https://tokenomy.ai/research/state-of-ai-economics) - [Agent Commerce](https://tokenomy.ai/research/agent-commerce) --- # Attention Evolution Lab > Free interactive lab: step through linear attention, DeltaNet, gated delta, Kimi Delta Attention, MLA and MoE from GPT-2 to Kimi K3 and see live KV cache, decode throughput and cost per million tokens. Source: https://tokenomy.ai/tools/attention-evolution-lab Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Seven years took large language models from 124M parameters to 2.8 trillion — about 22,580 GPT-2s inside one Kimi K3. This lab traces each architectural step and prices it: what it does to the KV cache, to memory-bandwidth-bound decode throughput, and to dollars per million generated tokens. ## What it does Seven years took large language models from 124M parameters to 2.8 trillion — about 22,580 GPT-2s inside one Kimi K3. This lab traces each architectural step and prices it: what it does to the KV cache, to memory-bandwidth-bound decode throughput, and to dollars per million generated tokens. - Six architectures: GPT-2, Linear Attention, DeltaNet, Gated DeltaNet, Kimi Linear (KDA), Kimi K3 - Live KV cache vs constant recurrent state as context scales to 1M tokens - Roofline decode throughput and $/1M tokens on H100, H200, B200 and MI355X - Chunked prefill explorer: the 2·L·d² + 2·L·C·d trade behind chunk size C - Eight comprehension checks explaining each mechanism, not just the label ## Why it matters Tokenomy is FinOps for AI — see where every AI dollar goes and get 20–40% of them back. This tool is free to use; sign in to save scenarios, share with your team and connect it to your live usage ledger. ## Related pages - [Token Calculator](https://tokenomy.ai/tools/token-calculator) - [Token Observability](https://tokenomy.ai/tools/token-observability) - [Token Speed Simulator](https://tokenomy.ai/tools/token-speed-simulator) - [Memory Calculator](https://tokenomy.ai/tools/memory-calculator) - [Energy Usage Estimator](https://tokenomy.ai/tools/energy-usage-estimator) - [Token Leaderboard](https://tokenomy.ai/tools/token-leaderboard) - [Alternatives Explorer](https://tokenomy.ai/tools/alternatives-explorer) - [Cost Optimization Suite](https://tokenomy.ai/tools/cost-optimization) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) --- # Token Calculator > Free AI token calculator. Count tokens and estimate cost per prompt across GPT-5, Claude, Gemini, xAI Grok, Llama and other frontier LLMs — with July 2026 pricing. Source: https://tokenomy.ai/tools/token-calculator Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Paste any prompt to get an accurate token count and a cost estimate across every major LLM provider. Uses current 2026 pricing for OpenAI, Anthropic, Google, xAI and open-weight models. ## What it does Paste any prompt to get an accurate token count and a cost estimate across every major LLM provider. Uses current 2026 pricing for OpenAI, Anthropic, Google, xAI and open-weight models. - Real tokenizer counts, not word approximations - Compare input, output and cached-input pricing across 400+ models - See per-1K-request and per-million-request cost projections - Export the calculation to CSV or share via link ## Why it matters Tokenomy is FinOps for AI — see where every AI dollar goes and get 20–40% of them back. This tool is free to use; sign in to save scenarios, share with your team and connect it to your live usage ledger. ## Related pages - [Token Calculator](https://tokenomy.ai/tools/token-calculator) - [Token Observability](https://tokenomy.ai/tools/token-observability) - [Token Speed Simulator](https://tokenomy.ai/tools/token-speed-simulator) - [Memory Calculator](https://tokenomy.ai/tools/memory-calculator) - [Energy Usage Estimator](https://tokenomy.ai/tools/energy-usage-estimator) - [Token Leaderboard](https://tokenomy.ai/tools/token-leaderboard) - [Alternatives Explorer](https://tokenomy.ai/tools/alternatives-explorer) - [Cost Optimization Suite](https://tokenomy.ai/tools/cost-optimization) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) --- # Token Observability > Real-time observability for every LLM call. Track cost, latency, tokens, cache hits and error rates across providers, models, workspaces, customers and agents. Source: https://tokenomy.ai/tools/token-observability Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Live dashboards for every model call flowing through your Tokenomy metering proxy — per provider, per model, per workspace, per customer and per agent. ## What it does Live dashboards for every model call flowing through your Tokenomy metering proxy — per provider, per model, per workspace, per customer and per agent. - Per-request cost, latency and token attribution - Cache hit-rate and savings breakdown - Alerting on cost anomalies and error spikes - SQL-backed rollups you can query and export ## Why it matters Tokenomy is FinOps for AI — see where every AI dollar goes and get 20–40% of them back. This tool is free to use; sign in to save scenarios, share with your team and connect it to your live usage ledger. ## Related pages - [Token Calculator](https://tokenomy.ai/tools/token-calculator) - [Token Observability](https://tokenomy.ai/tools/token-observability) - [Token Speed Simulator](https://tokenomy.ai/tools/token-speed-simulator) - [Memory Calculator](https://tokenomy.ai/tools/memory-calculator) - [Energy Usage Estimator](https://tokenomy.ai/tools/energy-usage-estimator) - [Token Leaderboard](https://tokenomy.ai/tools/token-leaderboard) - [Alternatives Explorer](https://tokenomy.ai/tools/alternatives-explorer) - [Cost Optimization Suite](https://tokenomy.ai/tools/cost-optimization) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) --- # Token Speed Simulator > Simulate LLM output speed. Compare tokens-per-second, time-to-first-token and total latency across GPT-5, Claude, Gemini, Grok, Llama and open-weight endpoints. Source: https://tokenomy.ai/tools/token-speed-simulator Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Model the streaming behavior of frontier LLMs. See time-to-first-token, sustained tokens/sec and total request latency for realistic prompt/completion sizes. ## What it does Model the streaming behavior of frontier LLMs. See time-to-first-token, sustained tokens/sec and total request latency for realistic prompt/completion sizes. - TTFT and TPS for July 2026 flagship models - Compare hosted APIs vs self-hosted open-weight inference - Model streaming vs non-streaming responses - Estimate user-perceived latency for agent workflows ## Why it matters Tokenomy is FinOps for AI — see where every AI dollar goes and get 20–40% of them back. This tool is free to use; sign in to save scenarios, share with your team and connect it to your live usage ledger. ## Related pages - [Token Calculator](https://tokenomy.ai/tools/token-calculator) - [Token Observability](https://tokenomy.ai/tools/token-observability) - [Token Speed Simulator](https://tokenomy.ai/tools/token-speed-simulator) - [Memory Calculator](https://tokenomy.ai/tools/memory-calculator) - [Energy Usage Estimator](https://tokenomy.ai/tools/energy-usage-estimator) - [Token Leaderboard](https://tokenomy.ai/tools/token-leaderboard) - [Alternatives Explorer](https://tokenomy.ai/tools/alternatives-explorer) - [Cost Optimization Suite](https://tokenomy.ai/tools/cost-optimization) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) --- # LLM Memory Calculator > Calculate VRAM, KV cache and system memory for self-hosted LLM inference. Size hardware for Llama, Mistral, Qwen, DeepSeek and other open-weight models. Source: https://tokenomy.ai/tools/memory-calculator Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Size the hardware you need to serve open-weight LLMs. Estimate VRAM for weights, KV cache growth per token and total memory at your target concurrency. ## What it does Size the hardware you need to serve open-weight LLMs. Estimate VRAM for weights, KV cache growth per token and total memory at your target concurrency. - Weight, activation and KV cache breakdown per model - Quantization support (FP16, INT8, INT4, GPTQ, AWQ) - Concurrency and batch-size aware - Recommends GPU class and count ## Why it matters Tokenomy is FinOps for AI — see where every AI dollar goes and get 20–40% of them back. This tool is free to use; sign in to save scenarios, share with your team and connect it to your live usage ledger. ## Related pages - [Token Calculator](https://tokenomy.ai/tools/token-calculator) - [Token Observability](https://tokenomy.ai/tools/token-observability) - [Token Speed Simulator](https://tokenomy.ai/tools/token-speed-simulator) - [Memory Calculator](https://tokenomy.ai/tools/memory-calculator) - [Energy Usage Estimator](https://tokenomy.ai/tools/energy-usage-estimator) - [Token Leaderboard](https://tokenomy.ai/tools/token-leaderboard) - [Alternatives Explorer](https://tokenomy.ai/tools/alternatives-explorer) - [Cost Optimization Suite](https://tokenomy.ai/tools/cost-optimization) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) --- # AI Energy Usage Estimator > Estimate the energy and CO₂ footprint of any LLM workload. Compare hosted APIs and self-hosted open-weight inference on H100, H200, B200 and MI300X. Source: https://tokenomy.ai/tools/energy-usage-estimator Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Turn tokens into watts, kWh and CO₂. Estimate the energy footprint of your AI workload across hosted providers and self-hosted GPUs including B200 and MI300X. ## What it does Turn tokens into watts, kWh and CO₂. Estimate the energy footprint of your AI workload across hosted providers and self-hosted GPUs including B200 and MI300X. - Per-token energy for frontier hosted models - GPU-level draw for B200, H200, H100, MI300X - Region-weighted CO₂ using 2026 grid intensity - Exportable sustainability report ## Why it matters Tokenomy is FinOps for AI — see where every AI dollar goes and get 20–40% of them back. This tool is free to use; sign in to save scenarios, share with your team and connect it to your live usage ledger. ## Related pages - [Token Calculator](https://tokenomy.ai/tools/token-calculator) - [Token Observability](https://tokenomy.ai/tools/token-observability) - [Token Speed Simulator](https://tokenomy.ai/tools/token-speed-simulator) - [Memory Calculator](https://tokenomy.ai/tools/memory-calculator) - [Energy Usage Estimator](https://tokenomy.ai/tools/energy-usage-estimator) - [Token Leaderboard](https://tokenomy.ai/tools/token-leaderboard) - [Alternatives Explorer](https://tokenomy.ai/tools/alternatives-explorer) - [Cost Optimization Suite](https://tokenomy.ai/tools/cost-optimization) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) --- # AI Content Detector > Free AI content detector. Identify whether text was likely generated by GPT-5, Claude, Gemini or other LLMs — with confidence scoring and per-passage analysis. Source: https://tokenomy.ai/tools/ai-content-detector Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Paste text to check whether it was likely produced by a modern LLM. Returns a confidence score and per-passage breakdown. ## What it does Paste text to check whether it was likely produced by a modern LLM. Returns a confidence score and per-passage breakdown. - Confidence score with per-sentence highlighting - Tuned against 2026 frontier model outputs - No account required for public detection - API access for teams reviewing at scale ## Why it matters Tokenomy is FinOps for AI — see where every AI dollar goes and get 20–40% of them back. This tool is free to use; sign in to save scenarios, share with your team and connect it to your live usage ledger. ## Related pages - [Token Calculator](https://tokenomy.ai/tools/token-calculator) - [Token Observability](https://tokenomy.ai/tools/token-observability) - [Token Speed Simulator](https://tokenomy.ai/tools/token-speed-simulator) - [Memory Calculator](https://tokenomy.ai/tools/memory-calculator) - [Energy Usage Estimator](https://tokenomy.ai/tools/energy-usage-estimator) - [Token Leaderboard](https://tokenomy.ai/tools/token-leaderboard) - [Alternatives Explorer](https://tokenomy.ai/tools/alternatives-explorer) - [Cost Optimization Suite](https://tokenomy.ai/tools/cost-optimization) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) --- # GPU Throughput Monitor > Monitor GPU utilization, VRAM, temperature and throughput for AI training and inference. Real-time dashboard for H100, H200, B200, MI300X fleets. Source: https://tokenomy.ai/tools/gpu-monitoring Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Real-time GPU telemetry for AI training and inference fleets. Track utilization, VRAM, temperature and throughput per node. ## What it does Real-time GPU telemetry for AI training and inference fleets. Track utilization, VRAM, temperature and throughput per node. - Utilization, VRAM, power and thermals per GPU - Multi-node fleet view with alerting - Cost-per-token overlay from Tokenomy usage ledger - Prometheus and OTel exporters included ## Why it matters Tokenomy is FinOps for AI — see where every AI dollar goes and get 20–40% of them back. This tool is free to use; sign in to save scenarios, share with your team and connect it to your live usage ledger. ## Related pages - [Token Calculator](https://tokenomy.ai/tools/token-calculator) - [Token Observability](https://tokenomy.ai/tools/token-observability) - [Token Speed Simulator](https://tokenomy.ai/tools/token-speed-simulator) - [Memory Calculator](https://tokenomy.ai/tools/memory-calculator) - [Energy Usage Estimator](https://tokenomy.ai/tools/energy-usage-estimator) - [Token Leaderboard](https://tokenomy.ai/tools/token-leaderboard) - [Alternatives Explorer](https://tokenomy.ai/tools/alternatives-explorer) - [Cost Optimization Suite](https://tokenomy.ai/tools/cost-optimization) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) --- # Token Leaderboard > Live leaderboard ranking frontier LLMs by cost per useful token, latency, throughput and quality. Updated every 12 hours across 400+ hosted and open-weight models. Source: https://tokenomy.ai/tools/token-leaderboard Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. The public leaderboard for the token economy. Rank every frontier LLM by cost per useful token, latency, throughput and evaluation quality — refreshed every 12 hours. ## What it does The public leaderboard for the token economy. Rank every frontier LLM by cost per useful token, latency, throughput and evaluation quality — refreshed every 12 hours. - 400+ hosted and open-weight models - Cost per useful token, TTFT, sustained TPS - Quality signal from public benchmarks - Filter by provider, license, context window ## Why it matters Tokenomy is FinOps for AI — see where every AI dollar goes and get 20–40% of them back. This tool is free to use; sign in to save scenarios, share with your team and connect it to your live usage ledger. ## Related pages - [Token Calculator](https://tokenomy.ai/tools/token-calculator) - [Token Observability](https://tokenomy.ai/tools/token-observability) - [Token Speed Simulator](https://tokenomy.ai/tools/token-speed-simulator) - [Memory Calculator](https://tokenomy.ai/tools/memory-calculator) - [Energy Usage Estimator](https://tokenomy.ai/tools/energy-usage-estimator) - [Token Leaderboard](https://tokenomy.ai/tools/token-leaderboard) - [Alternatives Explorer](https://tokenomy.ai/tools/alternatives-explorer) - [Cost Optimization Suite](https://tokenomy.ai/tools/cost-optimization) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) --- # Prompt Processing Visualizer > Visualize how LLMs tokenize, attend to and process your prompt step by step. See tokenization, attention hints and estimated cost per stage. Source: https://tokenomy.ai/tools/prompt-visualizer Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. See exactly how a modern LLM reads your prompt: tokenization, attention hints, per-stage cost and latency. Ideal for prompt engineering and cost optimization. ## What it does See exactly how a modern LLM reads your prompt: tokenization, attention hints, per-stage cost and latency. Ideal for prompt engineering and cost optimization. - Tokenization overlay per model - Stage-by-stage cost and latency - Attention hints for high-cost segments - Rewrite suggestions to cut waste ## Why it matters Tokenomy is FinOps for AI — see where every AI dollar goes and get 20–40% of them back. This tool is free to use; sign in to save scenarios, share with your team and connect it to your live usage ledger. ## Related pages - [Token Calculator](https://tokenomy.ai/tools/token-calculator) - [Token Observability](https://tokenomy.ai/tools/token-observability) - [Token Speed Simulator](https://tokenomy.ai/tools/token-speed-simulator) - [Memory Calculator](https://tokenomy.ai/tools/memory-calculator) - [Energy Usage Estimator](https://tokenomy.ai/tools/energy-usage-estimator) - [Token Leaderboard](https://tokenomy.ai/tools/token-leaderboard) - [Alternatives Explorer](https://tokenomy.ai/tools/alternatives-explorer) - [Cost Optimization Suite](https://tokenomy.ai/tools/cost-optimization) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) --- # Alternatives Explorer > Find cheaper, faster or open-weight alternatives to any LLM. Compare hardware, model variants and inference strategies with total-cost-of-ownership modeling. Source: https://tokenomy.ai/tools/alternatives-explorer Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. For any model you use, find cheaper, faster or open-weight alternatives — with TCO modeling that accounts for hardware, throughput and quality trade-offs. ## What it does For any model you use, find cheaper, faster or open-weight alternatives — with TCO modeling that accounts for hardware, throughput and quality trade-offs. - Model variant comparison across providers - Hardware alternatives for self-hosted inference - Inference strategy trade-offs (batching, quantization, distillation) - TCO output finance can sign off on ## Why it matters Tokenomy is FinOps for AI — see where every AI dollar goes and get 20–40% of them back. This tool is free to use; sign in to save scenarios, share with your team and connect it to your live usage ledger. ## Related pages - [Token Calculator](https://tokenomy.ai/tools/token-calculator) - [Token Observability](https://tokenomy.ai/tools/token-observability) - [Token Speed Simulator](https://tokenomy.ai/tools/token-speed-simulator) - [Memory Calculator](https://tokenomy.ai/tools/memory-calculator) - [Energy Usage Estimator](https://tokenomy.ai/tools/energy-usage-estimator) - [Token Leaderboard](https://tokenomy.ai/tools/token-leaderboard) - [Alternatives Explorer](https://tokenomy.ai/tools/alternatives-explorer) - [Cost Optimization Suite](https://tokenomy.ai/tools/cost-optimization) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) --- # Cost Optimization Suite > Multi-provider comparator, prompt library, model router simulator, batch processing optimizer and cost tracking dashboard. Everything you need to cut LLM spend 20–40%. Source: https://tokenomy.ai/tools/cost-optimization Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. A workbench of cost tools for LLMs and agents: multi-provider comparator, prompt library, router simulator, batch optimizer and live cost tracking. ## What it does A workbench of cost tools for LLMs and agents: multi-provider comparator, prompt library, router simulator, batch optimizer and live cost tracking. - Multi-provider price and quality comparator - Prompt library with cost-annotated templates - Model router simulator with quality thresholds - Batch processing and caching ROI optimizer ## Why it matters Tokenomy is FinOps for AI — see where every AI dollar goes and get 20–40% of them back. This tool is free to use; sign in to save scenarios, share with your team and connect it to your live usage ledger. ## Related pages - [Token Calculator](https://tokenomy.ai/tools/token-calculator) - [Token Observability](https://tokenomy.ai/tools/token-observability) - [Token Speed Simulator](https://tokenomy.ai/tools/token-speed-simulator) - [Memory Calculator](https://tokenomy.ai/tools/memory-calculator) - [Energy Usage Estimator](https://tokenomy.ai/tools/energy-usage-estimator) - [Token Leaderboard](https://tokenomy.ai/tools/token-leaderboard) - [Alternatives Explorer](https://tokenomy.ai/tools/alternatives-explorer) - [Cost Optimization Suite](https://tokenomy.ai/tools/cost-optimization) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) --- # Unified Cost Graph > One cost graph across every provider, model, workspace, customer, agent and environment. Real attribution from the Tokenomy usage ledger. Source: https://tokenomy.ai/features/unified-cost-graph Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. See every AI dollar in one graph — sliced by provider, model, workspace, customer, agent and environment. Backed by the real usage ledger, not sampled dashboards. ## What it does See every AI dollar in one graph — sliced by provider, model, workspace, customer, agent and environment. Backed by the real usage ledger, not sampled dashboards. - OpenAI, Anthropic, Google, xAI, OpenRouter, Ollama in one view - Drill from company total down to a single request - Chargeback-ready exports - SQL access for finance and RevOps ## Part of the runtime rails This feature is part of Tokenomy's runtime rails for the token economy — the metering proxy, smart router, budget guard, unified cost graph and MCP server your LLM traffic flows through. ## Related pages - [All platform features](https://tokenomy.ai/features) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) - [Trust & Security](https://tokenomy.ai/trust) --- # Policy & Budget Routing > Enforce spend policies before a request hits a paid provider. Route by cost, quality and latency; block or throttle at budget. Source: https://tokenomy.ai/features/policy-budget-routing Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Governance for the token economy. Enforce policies at the proxy — route by cost, quality and latency; block or throttle at budget with HTTP 402. ## What it does Governance for the token economy. Enforce policies at the proxy — route by cost, quality and latency; block or throttle at budget with HTTP 402. - Per-workspace, per-customer and per-agent budgets - Quality and latency thresholds for routing decisions - Slack and email alerts on approach and breach - Full audit trail ## Part of the runtime rails This feature is part of Tokenomy's runtime rails for the token economy — the metering proxy, smart router, budget guard, unified cost graph and MCP server your LLM traffic flows through. ## Related pages - [All platform features](https://tokenomy.ai/features) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) - [Trust & Security](https://tokenomy.ai/trust) --- # Agent Commerce Rails > Let agents transact, meter, budget and settle spend. MCP server, per-agent budgets and Stripe-metered billing built in. Source: https://tokenomy.ai/features/agent-commerce-rails Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. The runtime rails for agent commerce. Give autonomous agents scoped budgets, metering and settlement — with MCP-first integration. ## What it does The runtime rails for agent commerce. Give autonomous agents scoped budgets, metering and settlement — with MCP-first integration. - MCP server for ChatGPT, Claude and Cursor - Per-agent budgets with hard and soft caps - Stripe metered billing for downstream chargeback - Full ledger of every agent transaction ## Part of the runtime rails This feature is part of Tokenomy's runtime rails for the token economy — the metering proxy, smart router, budget guard, unified cost graph and MCP server your LLM traffic flows through. ## Related pages - [All platform features](https://tokenomy.ai/features) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) - [Trust & Security](https://tokenomy.ai/trust) --- # Advanced Telemetry > OpenTelemetry-native telemetry for LLM traffic. Traces, spans and metrics per request with cost, latency and cache attribution. Source: https://tokenomy.ai/features/advanced-telemetry Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. OTel-native telemetry for every LLM call. Traces, spans and metrics with cost, latency, cache and provider attribution. ## What it does OTel-native telemetry for every LLM call. Traces, spans and metrics with cost, latency, cache and provider attribution. - OpenTelemetry traces and metrics - Per-span cost, tokens and cache attribution - Prometheus, Datadog, Grafana and Honeycomb exporters - SLO-linked dashboards ## Part of the runtime rails This feature is part of Tokenomy's runtime rails for the token economy — the metering proxy, smart router, budget guard, unified cost graph and MCP server your LLM traffic flows through. ## Related pages - [All platform features](https://tokenomy.ai/features) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) - [Trust & Security](https://tokenomy.ai/trust) --- # Token Flow Visualizer > Visualize every hop a token takes — from prompt to router to provider to cache to response — with cost and latency per stage. Source: https://tokenomy.ai/features/token-flow-visualizer Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Trace every hop of an LLM request: prompt, router, provider, cache, response. See where cost and latency accumulate stage by stage. ## What it does Trace every hop of an LLM request: prompt, router, provider, cache, response. See where cost and latency accumulate stage by stage. - Per-stage cost and latency - Cache and router decision replay - Failover and retry visibility - Shareable trace links ## Part of the runtime rails This feature is part of Tokenomy's runtime rails for the token economy — the metering proxy, smart router, budget guard, unified cost graph and MCP server your LLM traffic flows through. ## Related pages - [All platform features](https://tokenomy.ai/features) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) - [Trust & Security](https://tokenomy.ai/trust) --- # SLO Monitoring > Define and track SLOs for LLM latency, error rate and cost. Alert on burn-rate breaches with automatic failover. Source: https://tokenomy.ai/features/slo-monitoring Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Treat LLMs as a production dependency. Define SLOs on latency, error rate and cost; alert on burn-rate; failover automatically. ## What it does Treat LLMs as a production dependency. Define SLOs on latency, error rate and cost; alert on burn-rate; failover automatically. - Latency, error-rate and cost SLOs - Burn-rate alerts and error budgets - Automatic router failover on breach - Executive-ready reliability reports ## Part of the runtime rails This feature is part of Tokenomy's runtime rails for the token economy — the metering proxy, smart router, budget guard, unified cost graph and MCP server your LLM traffic flows through. ## Related pages - [All platform features](https://tokenomy.ai/features) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) - [Trust & Security](https://tokenomy.ai/trust) --- # Policy Governance > Security-review-ready governance for LLMs and agents. PII policies, jailbreak controls, model allow-lists and full audit logs. Source: https://tokenomy.ai/features/policy-governance Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Ship AI with your security team's blessing. PII policies, jailbreak controls, model allow-lists and immutable audit logs. ## What it does Ship AI with your security team's blessing. PII policies, jailbreak controls, model allow-lists and immutable audit logs. - Policy editor with versioning and review - PII redaction pre-provider - Per-workspace model allow-lists - Immutable audit trail ## Part of the runtime rails This feature is part of Tokenomy's runtime rails for the token economy — the metering proxy, smart router, budget guard, unified cost graph and MCP server your LLM traffic flows through. ## Related pages - [All platform features](https://tokenomy.ai/features) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) - [Trust & Security](https://tokenomy.ai/trust) --- # Route Health > Real-time health of every provider and model route. Automatic failover on latency spikes, error surges or provider incidents. Source: https://tokenomy.ai/features/route-health Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Real-time status of every provider route. Detect latency spikes, error surges and provider incidents; failover before your users notice. ## What it does Real-time status of every provider route. Detect latency spikes, error surges and provider incidents; failover before your users notice. - Per-provider and per-model health scores - Automatic failover with configurable thresholds - Provider incident correlation - Historical route reliability ## Part of the runtime rails This feature is part of Tokenomy's runtime rails for the token economy — the metering proxy, smart router, budget guard, unified cost graph and MCP server your LLM traffic flows through. ## Related pages - [All platform features](https://tokenomy.ai/features) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) - [Trust & Security](https://tokenomy.ai/trust) --- # Billing & Revenue > Turn LLM usage into revenue. Stripe metered billing, chargeback exports, per-customer invoicing and margin dashboards. Source: https://tokenomy.ai/features/billing-revenue Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Close the loop between LLM cost and product revenue. Meter usage into Stripe, invoice per customer and monitor margin per SKU. ## What it does Close the loop between LLM cost and product revenue. Meter usage into Stripe, invoice per customer and monitor margin per SKU. - Stripe metered billing wired to usage ledger - Per-customer and per-SKU invoicing - Margin dashboards for RevOps - Chargeback CSV export ## Part of the runtime rails This feature is part of Tokenomy's runtime rails for the token economy — the metering proxy, smart router, budget guard, unified cost graph and MCP server your LLM traffic flows through. ## Related pages - [All platform features](https://tokenomy.ai/features) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) - [Pricing](https://tokenomy.ai/pricing) - [Trust & Security](https://tokenomy.ai/trust) --- # Free AI economics tools > Free calculators and estimators for AI teams: token cost, throughput, VRAM, energy, model alternatives and cost optimization. No sign-up to try. Source: https://tokenomy.ai/tools Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. A workbench of free calculators for the token economy — price a prompt, size a GPU, estimate energy, compare models and simulate routing before you spend. ## Overview A workbench of free calculators for the token economy — price a prompt, size a GPU, estimate energy, compare models and simulate routing before you spend. - Token Calculator — price any prompt across 470+ models - Token Speed Simulator — throughput and time-to-first-token - Memory Calculator — VRAM and KV cache sizing - Energy Usage Estimator — kWh and CO2 per million tokens - Attention Evolution Lab — architecture cost economics ## About Tokenomy Tokenomy is FinOps for AI — the system of record for AI model pricing, plus free tools, independent research and runtime rails that show where every AI dollar goes and get 20-40% of them back. ## Related pages - [Free tools](https://tokenomy.ai/tools) - [Research](https://tokenomy.ai/research) - [Pricing Data API](https://tokenomy.ai/data-api) - [Academy](https://tokenomy.ai/academy) - [Blog](https://tokenomy.ai/blog) - [Pricing](https://tokenomy.ai/pricing) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) --- # Tokenomy Research > Tokenomy Research: the AI Economics Index, model and agent economic efficiency, the AI Pricing Observatory and the State of AI Economics report. Source: https://tokenomy.ai/research Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Independent research franchises tracking how intelligence is priced, produced and consumed — updated from live provider pricing and public benchmarks. ## Overview Independent research franchises tracking how intelligence is priced, produced and consumed — updated from live provider pricing and public benchmarks. - AI Economics Index — cost per unit of useful intelligence - Model Economic Efficiency — dollars per quality point - Agent Economic Efficiency — cost per completed outcome - AI Pricing Observatory — daily list-price tracking - State of AI Economics — the quarterly report ## About Tokenomy Tokenomy is FinOps for AI — the system of record for AI model pricing, plus free tools, independent research and runtime rails that show where every AI dollar goes and get 20-40% of them back. ## Related pages - [Free tools](https://tokenomy.ai/tools) - [Research](https://tokenomy.ai/research) - [Pricing Data API](https://tokenomy.ai/data-api) - [Academy](https://tokenomy.ai/academy) - [Blog](https://tokenomy.ai/blog) - [Pricing](https://tokenomy.ai/pricing) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) --- # AI Economics Academy > Free curriculum on AI economics: unit economics of tokens, routing strategy, caching ROI, budget guardrails and chargeback models for AI teams. Source: https://tokenomy.ai/academy Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Learn the discipline of AI economics — how intelligence is produced, priced, allocated, optimized, governed and monetized. ## Overview Learn the discipline of AI economics — how intelligence is produced, priced, allocated, optimized, governed and monetized. - Token unit economics from first principles - Routing, caching and batching strategy - Budget guardrails and spend governance - Chargeback and margin models for AI products ## About Tokenomy Tokenomy is FinOps for AI — the system of record for AI model pricing, plus free tools, independent research and runtime rails that show where every AI dollar goes and get 20-40% of them back. ## Related pages - [Free tools](https://tokenomy.ai/tools) - [Research](https://tokenomy.ai/research) - [Pricing Data API](https://tokenomy.ai/data-api) - [Academy](https://tokenomy.ai/academy) - [Blog](https://tokenomy.ai/blog) - [Pricing](https://tokenomy.ai/pricing) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) --- # AI Economics Library > A curated library of pricing pages, benchmarks, papers and methodology behind Tokenomy's AI economics research and cost models. Source: https://tokenomy.ai/library Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Every source, benchmark and method behind the numbers — provider pricing pages, throughput leaderboards, SWE-bench, MLPerf and grid intensity data. ## Overview Every source, benchmark and method behind the numbers — provider pricing pages, throughput leaderboards, SWE-bench, MLPerf and grid intensity data. - Primary provider pricing sources - Throughput and latency benchmarks - Quality benchmarks (SWE-bench Verified, MMLU-Pro, GPQA) - Energy and grid-intensity datasets ## About Tokenomy Tokenomy is FinOps for AI — the system of record for AI model pricing, plus free tools, independent research and runtime rails that show where every AI dollar goes and get 20-40% of them back. ## Related pages - [Free tools](https://tokenomy.ai/tools) - [Research](https://tokenomy.ai/research) - [Pricing Data API](https://tokenomy.ai/data-api) - [Academy](https://tokenomy.ai/academy) - [Blog](https://tokenomy.ai/blog) - [Pricing](https://tokenomy.ai/pricing) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) --- # Tokenomy Blog > Essays on AI economics, token unit economics, model routing, caching ROI and building the financial control layer for AI systems. Source: https://tokenomy.ai/blog Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Writing on the economics of intelligence — where AI dollars go, why they leak and how teams get 20-40% of them back. ## Overview Writing on the economics of intelligence — where AI dollars go, why they leak and how teams get 20-40% of them back. - The economic intelligence layer for AI - Token unit economics in production - Routing and caching as cost levers ## About Tokenomy Tokenomy is FinOps for AI — the system of record for AI model pricing, plus free tools, independent research and runtime rails that show where every AI dollar goes and get 20-40% of them back. ## Related pages - [Free tools](https://tokenomy.ai/tools) - [Research](https://tokenomy.ai/research) - [Pricing Data API](https://tokenomy.ai/data-api) - [Academy](https://tokenomy.ai/academy) - [Blog](https://tokenomy.ai/blog) - [Pricing](https://tokenomy.ai/pricing) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) --- # Tokenomy Community > Ask questions and share benchmarks with engineers and finance teams working on AI cost, routing, observability and unit economics. Source: https://tokenomy.ai/community Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Discussions, tutorials and showcases from practitioners running AI in production — cost, latency, routing and governance. ## Overview Discussions, tutorials and showcases from practitioners running AI in production — cost, latency, routing and governance. - Cost optimization tactics that actually shipped - Model routing and fallback patterns - Observability and chargeback setups ## About Tokenomy Tokenomy is FinOps for AI — the system of record for AI model pricing, plus free tools, independent research and runtime rails that show where every AI dollar goes and get 20-40% of them back. ## Related pages - [Free tools](https://tokenomy.ai/tools) - [Research](https://tokenomy.ai/research) - [Pricing Data API](https://tokenomy.ai/data-api) - [Academy](https://tokenomy.ai/academy) - [Blog](https://tokenomy.ai/blog) - [Pricing](https://tokenomy.ai/pricing) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) --- # Find your AI waste > Free scanner that estimates where your LLM spend is leaking: oversized models, uncached prompts, retry storms and context bloat. Source: https://tokenomy.ai/waste Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Answer a few questions about your workload and get an itemized estimate of avoidable LLM spend — model right-sizing, caching, context trimming and retries. ## Overview Answer a few questions about your workload and get an itemized estimate of avoidable LLM spend — model right-sizing, caching, context trimming and retries. - Model right-sizing opportunities - Prompt and response caching ROI - Context bloat and retry-storm detection - An itemized annual savings estimate ## About Tokenomy Tokenomy is FinOps for AI — the system of record for AI model pricing, plus free tools, independent research and runtime rails that show where every AI dollar goes and get 20-40% of them back. ## Related pages - [Free tools](https://tokenomy.ai/tools) - [Research](https://tokenomy.ai/research) - [Pricing Data API](https://tokenomy.ai/data-api) - [Academy](https://tokenomy.ai/academy) - [Blog](https://tokenomy.ai/blog) - [Pricing](https://tokenomy.ai/pricing) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) --- # Tokenomy Data API > Programmatic access to Tokenomy's AI pricing dataset: list prices, context windows, throughput and quality benchmarks for 470+ models, refreshed twice daily. Source: https://tokenomy.ai/data-api Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer The Tokenomy Data API serves normalized pricing for 53+ AI models — input, output and cached price per 1M tokens, context window, throughput and latency — as JSON over HTTP, refreshed twice daily. A dated price-history endpoint returns one row per model per day so you can see exactly when a provider moved a price. The system of record for AI model pricing — one normalized, versioned API across every major provider and open model host. ## Overview The system of record for AI model pricing — one normalized, versioned API across every major provider and open model host. - 470+ models, refreshed every 12 hours - Normalized input, output and cached pricing - Throughput, latency and context metadata - Quality benchmarks joined to every model ## About Tokenomy Tokenomy is FinOps for AI — the system of record for AI model pricing, plus free tools, independent research and runtime rails that show where every AI dollar goes and get 20-40% of them back. ## Frequently asked questions ### Is there an API for AI model pricing? Yes. The Tokenomy Data API returns current list pricing and dated price history for 53+ models across OpenAI, Anthropic, Google, xAI, Meta, DeepSeek, Mistral, Qwen and open-weight hosts, with an OpenAPI 3.1 specification. ### How often is the pricing data refreshed? Twice daily, at 00:15 and 12:15 UTC. Every row carries the date it was observed; rows carried back before 1 August 2026 are flagged as such rather than presented as live observations. ### How far back does the price history go? The time series covers 30- and 90-day windows per model. Observations from 1 August 2026 onward are live; earlier points are reconstructed and labelled. ## Related pages - [Free tools](https://tokenomy.ai/tools) - [Research](https://tokenomy.ai/research) - [Pricing Data API](https://tokenomy.ai/data-api) - [Academy](https://tokenomy.ai/academy) - [Blog](https://tokenomy.ai/blog) - [Pricing](https://tokenomy.ai/pricing) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) --- # State of AI Economics > The State of AI Economics report: how AI unit costs, model pricing, throughput and spend efficiency are moving across the industry. Source: https://tokenomy.ai/reports/state-of-ai-economics Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. A recurring report on the direction of AI unit economics — pricing trends, efficiency frontiers and where budgets are actually going. ## Overview A recurring report on the direction of AI unit economics — pricing trends, efficiency frontiers and where budgets are actually going. - Price-per-quality-point trend lines - Frontier vs. workhorse vs. open-model economics - Where enterprise AI budgets are being spent ## About Tokenomy Tokenomy is FinOps for AI — the system of record for AI model pricing, plus free tools, independent research and runtime rails that show where every AI dollar goes and get 20-40% of them back. ## Related pages - [Free tools](https://tokenomy.ai/tools) - [Research](https://tokenomy.ai/research) - [Pricing Data API](https://tokenomy.ai/data-api) - [Academy](https://tokenomy.ai/academy) - [Blog](https://tokenomy.ai/blog) - [Pricing](https://tokenomy.ai/pricing) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) --- # The economic intelligence layer for AI > Why AI needs an economic intelligence layer: metering, attribution, routing and governance for every token your systems spend. Source: https://tokenomy.ai/blog/economic-intelligence-layer-for-ai Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. AI spend is now a primary line item, but most teams still cannot answer where a dollar went. This is the case for an economic intelligence layer under every AI system. ## Overview AI spend is now a primary line item, but most teams still cannot answer where a dollar went. This is the case for an economic intelligence layer under every AI system. - Metering: every call attributed to an agent, product and customer - Routing: the cheapest model that still passes the quality bar - Governance: budgets, guardrails and hard stops - Proof: chargeback and margin reporting finance will accept ## About Tokenomy Tokenomy is FinOps for AI — the system of record for AI model pricing, plus free tools, independent research and runtime rails that show where every AI dollar goes and get 20-40% of them back. ## Related pages - [Free tools](https://tokenomy.ai/tools) - [Research](https://tokenomy.ai/research) - [Pricing Data API](https://tokenomy.ai/data-api) - [Academy](https://tokenomy.ai/academy) - [Blog](https://tokenomy.ai/blog) - [Pricing](https://tokenomy.ai/pricing) - [Why FinOps for AI](https://tokenomy.ai/finops-for-ai) --- # AI News Hub > Curated AI and robotics news with an economics lens — model launches, price changes and capability shifts that move your cost model. Source: https://tokenomy.ai/research/ai-news-hub Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Model launches, price cuts and capability jumps, filtered for what actually changes AI unit economics. ## What this covers Curated AI and robotics news with an economics lens — model launches, price changes and capability shifts that move your cost model. ## Why it matters Tokenomy tracks AI economics end to end — pricing, throughput, quality and energy. This library page keeps the underlying evidence one click from the tools and research that use it. ## Related pages - [Research hub](https://tokenomy.ai/research) - [AI News Hub](https://tokenomy.ai/research/ai-news-hub) - [Model Benchmarks](https://tokenomy.ai/research/model-benchmarks) - [Research Papers](https://tokenomy.ai/research/research-papers) - [Innovation Tracker](https://tokenomy.ai/research/innovation-tracker) - [Conference Calendar](https://tokenomy.ai/research/conference-calendar) - [Tiktoken Guide](https://tokenomy.ai/research/tiktoken-guide) - [Free tools](https://tokenomy.ai/tools) --- # Model Benchmarks > Quality, throughput and price benchmarks across frontier and open models — SWE-bench Verified, MMLU-Pro, tokens/sec and $/1M tokens. Source: https://tokenomy.ai/research/model-benchmarks Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Side-by-side quality, speed and price benchmarks so you can pick the cheapest model that still passes your bar. ## What this covers Quality, throughput and price benchmarks across frontier and open models — SWE-bench Verified, MMLU-Pro, tokens/sec and $/1M tokens. ## Why it matters Tokenomy tracks AI economics end to end — pricing, throughput, quality and energy. This library page keeps the underlying evidence one click from the tools and research that use it. ## Related pages - [Research hub](https://tokenomy.ai/research) - [AI News Hub](https://tokenomy.ai/research/ai-news-hub) - [Model Benchmarks](https://tokenomy.ai/research/model-benchmarks) - [Research Papers](https://tokenomy.ai/research/research-papers) - [Innovation Tracker](https://tokenomy.ai/research/innovation-tracker) - [Conference Calendar](https://tokenomy.ai/research/conference-calendar) - [Tiktoken Guide](https://tokenomy.ai/research/tiktoken-guide) - [Free tools](https://tokenomy.ai/tools) --- # Research Papers > Key papers on inference efficiency, attention architectures, quantization, caching and the economics of large-model serving. Source: https://tokenomy.ai/research/research-papers Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. The papers behind the cost curve — attention variants, KV-cache compression, quantization and serving efficiency. ## What this covers Key papers on inference efficiency, attention architectures, quantization, caching and the economics of large-model serving. ## Why it matters Tokenomy tracks AI economics end to end — pricing, throughput, quality and energy. This library page keeps the underlying evidence one click from the tools and research that use it. ## Related pages - [Research hub](https://tokenomy.ai/research) - [AI News Hub](https://tokenomy.ai/research/ai-news-hub) - [Model Benchmarks](https://tokenomy.ai/research/model-benchmarks) - [Research Papers](https://tokenomy.ai/research/research-papers) - [Innovation Tracker](https://tokenomy.ai/research/innovation-tracker) - [Conference Calendar](https://tokenomy.ai/research/conference-calendar) - [Tiktoken Guide](https://tokenomy.ai/research/tiktoken-guide) - [Free tools](https://tokenomy.ai/tools) --- # Innovation Tracker > Tracking architectural and hardware innovations that change the cost of inference — MLA, MoE, speculative decoding, new accelerators. Source: https://tokenomy.ai/research/innovation-tracker Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. What is changing the marginal cost of a token: architectures, decoding tricks and new silicon. ## What this covers Tracking architectural and hardware innovations that change the cost of inference — MLA, MoE, speculative decoding, new accelerators. ## Why it matters Tokenomy tracks AI economics end to end — pricing, throughput, quality and energy. This library page keeps the underlying evidence one click from the tools and research that use it. ## Related pages - [Research hub](https://tokenomy.ai/research) - [AI News Hub](https://tokenomy.ai/research/ai-news-hub) - [Model Benchmarks](https://tokenomy.ai/research/model-benchmarks) - [Research Papers](https://tokenomy.ai/research/research-papers) - [Innovation Tracker](https://tokenomy.ai/research/innovation-tracker) - [Conference Calendar](https://tokenomy.ai/research/conference-calendar) - [Tiktoken Guide](https://tokenomy.ai/research/tiktoken-guide) - [Free tools](https://tokenomy.ai/tools) --- # AI Conference Calendar > Upcoming AI research and infrastructure conferences, deadlines and industry events relevant to AI economics and inference. Source: https://tokenomy.ai/research/conference-calendar Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. Deadlines and dates for the research and infrastructure events that shape AI economics. ## What this covers Upcoming AI research and infrastructure conferences, deadlines and industry events relevant to AI economics and inference. ## Why it matters Tokenomy tracks AI economics end to end — pricing, throughput, quality and energy. This library page keeps the underlying evidence one click from the tools and research that use it. ## Related pages - [Research hub](https://tokenomy.ai/research) - [AI News Hub](https://tokenomy.ai/research/ai-news-hub) - [Model Benchmarks](https://tokenomy.ai/research/model-benchmarks) - [Research Papers](https://tokenomy.ai/research/research-papers) - [Innovation Tracker](https://tokenomy.ai/research/innovation-tracker) - [Conference Calendar](https://tokenomy.ai/research/conference-calendar) - [Tiktoken Guide](https://tokenomy.ai/research/tiktoken-guide) - [Free tools](https://tokenomy.ai/tools) --- # Tiktoken Guide > A practical guide to tokenization and tiktoken: how text becomes tokens, why counts differ per model and how it drives your bill. Source: https://tokenomy.ai/research/tiktoken-guide Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. How text becomes tokens, why the same prompt costs different amounts on different models, and how to measure it correctly. ## What this covers A practical guide to tokenization and tiktoken: how text becomes tokens, why counts differ per model and how it drives your bill. ## Why it matters Tokenomy tracks AI economics end to end — pricing, throughput, quality and energy. This library page keeps the underlying evidence one click from the tools and research that use it. ## Related pages - [Research hub](https://tokenomy.ai/research) - [AI News Hub](https://tokenomy.ai/research/ai-news-hub) - [Model Benchmarks](https://tokenomy.ai/research/model-benchmarks) - [Research Papers](https://tokenomy.ai/research/research-papers) - [Innovation Tracker](https://tokenomy.ai/research/innovation-tracker) - [Conference Calendar](https://tokenomy.ai/research/conference-calendar) - [Tiktoken Guide](https://tokenomy.ai/research/tiktoken-guide) - [Free tools](https://tokenomy.ai/tools) --- # AI model pricing directory > Live input and output pricing per 1M tokens for every major AI model — OpenAI, Anthropic, Google, xAI, Meta, DeepSeek, Mistral, Qwen and more. Free, updated twice daily. Source: https://tokenomy.ai/models Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer Tokenomy tracks list pricing for 53 AI models, refreshed twice daily. The cheapest models by combined input + output price per 1M tokens are gemini-2.5-flash-lite at $0.20, phi-4-mini at $0.30, deepseek-v4 at $0.33. Every model has a dedicated page with a monthly cost calculator and cheaper alternatives. Input and output pricing per 1M tokens for 53 models, refreshed twice daily from provider price lists. Free to use, no login. ## Cheapest models right now Ranked by combined input + output price per 1M tokens. - gemini-2.5-flash-lite — $0.05 in / $0.15 out per 1M tokens - phi-4-mini — $0.10 in / $0.20 out per 1M tokens - deepseek-v4 — $0.11 in / $0.22 out per 1M tokens - qwen-3-plus — $0.10 in / $0.30 out per 1M tokens - ernie-lite — $0.10 in / $0.30 out per 1M tokens - llama-4-scout — $0.20 in / $0.20 out per 1M tokens ## Find what you're overpaying Pricing alone does not tell you where your money leaks. Run the free waste scanner on your usage export to see wrong-tier models, oversized prompts, duplicate calls and retry storms — with dollars recoverable per finding. ## Frequently asked questions ### Which AI model is cheapest per million tokens? As of 2026-09-02, gemini-2.5-flash-lite has the lowest combined input + output price at $0.20 per 1M tokens. ### How do I compare AI model prices? Compare on output price per 1M tokens weighted by your actual output/input ratio, not on headline input price. Tokenomy's per-model pages compute monthly cost from your call volume and token shape. ## Related pages - [Free AI waste scanner](https://tokenomy.ai/waste) - [Free tools](https://tokenomy.ai/tools) - [AI Economics Index](https://tokenomy.ai/research) - [gemini-2.5-flash-lite pricing](https://tokenomy.ai/models/gemini-2-5-flash-lite) - [phi-4-mini pricing](https://tokenomy.ai/models/phi-4-mini) - [deepseek-v4 pricing](https://tokenomy.ai/models/deepseek-v4) - [qwen-3-plus pricing](https://tokenomy.ai/models/qwen-3-plus) --- # gpt-5.6-sol pricing > gpt-5.6-sol costs $4.50 per 1M input tokens and $18.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/gpt-5-6-sol Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer gpt-5.6-sol costs $4.50 per 1M input tokens and $18.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $81.00. The cheapest comparable alternative is grok-3 at $15.00 per 1M output tokens. gpt-5.6-sol is priced at $4.50 per 1M input tokens and $18.00 per 1M output tokens, with roughly 220 ms to first token and about 240 tokens/sec output throughput. ## Price per 1M tokens Input $4.50 · Output $18.00 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $22.50 - 10M input + 2M output tokens/month: $81.00 - 100M input + 20M output tokens/month: $810.00 ## Cheaper alternatives to gpt-5.6-sol Same workload, lower output price. Validate quality before switching. - gpt-4o — $15.00/1M output (17% cheaper) - claude-sonnet-4 — $15.00/1M output (17% cheaper) - claude-3.5-sonnet — $15.00/1M output (17% cheaper) - grok-3 — $15.00/1M output (17% cheaper) ## How much are you wasting on gpt-5.6-sol? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does gpt-5.6-sol cost per million tokens? $4.50 per 1M input tokens and $18.00 per 1M output tokens, as listed on 2026-09-02. ### What does gpt-5.6-sol cost per month at typical usage? At 10M input and 2M output tokens per month, gpt-5.6-sol costs about $81.00. At 100M input and 20M output tokens it costs about $810.00. ### Is there a cheaper alternative to gpt-5.6-sol? Yes. gpt-4o at $15.00/1M output, claude-sonnet-4 at $15.00/1M output, claude-3.5-sonnet at $15.00/1M output, grok-3 at $15.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is gpt-5.6-sol? Roughly 220 ms to first token and about 240 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gpt-4o pricing](https://tokenomy.ai/models/gpt-4o) - [claude-sonnet-4 pricing](https://tokenomy.ai/models/claude-sonnet-4) - [claude-3.5-sonnet pricing](https://tokenomy.ai/models/claude-3-5-sonnet) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # claude-fable-5 pricing > claude-fable-5 costs $5.00 per 1M input tokens and $22.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/claude-fable-5 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer claude-fable-5 costs $5.00 per 1M input tokens and $22.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $94.00. The cheapest comparable alternative is claude-3.5-sonnet at $15.00 per 1M output tokens. claude-fable-5 is priced at $5.00 per 1M input tokens and $22.00 per 1M output tokens, with roughly 260 ms to first token and about 90 tokens/sec output throughput. ## Price per 1M tokens Input $5.00 · Output $22.00 · Output/input ratio 4.4x. - 1M input + 1M output tokens: $27.00 - 10M input + 2M output tokens/month: $94.00 - 100M input + 20M output tokens/month: $940.00 ## Cheaper alternatives to claude-fable-5 Same workload, lower output price. Validate quality before switching. - gpt-5.6-sol — $18.00/1M output (18% cheaper) - gpt-4o — $15.00/1M output (32% cheaper) - claude-sonnet-4 — $15.00/1M output (32% cheaper) - claude-3.5-sonnet — $15.00/1M output (32% cheaper) ## How much are you wasting on claude-fable-5? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does claude-fable-5 cost per million tokens? $5.00 per 1M input tokens and $22.00 per 1M output tokens, as listed on 2026-09-02. ### What does claude-fable-5 cost per month at typical usage? At 10M input and 2M output tokens per month, claude-fable-5 costs about $94.00. At 100M input and 20M output tokens it costs about $940.00. ### Is there a cheaper alternative to claude-fable-5? Yes. gpt-5.6-sol at $18.00/1M output, gpt-4o at $15.00/1M output, claude-sonnet-4 at $15.00/1M output, claude-3.5-sonnet at $15.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is claude-fable-5? Roughly 260 ms to first token and about 90 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gpt-5.6-sol pricing](https://tokenomy.ai/models/gpt-5-6-sol) - [gpt-4o pricing](https://tokenomy.ai/models/gpt-4o) - [claude-sonnet-4 pricing](https://tokenomy.ai/models/claude-sonnet-4) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # claude-haiku-4.5 pricing > claude-haiku-4.5 costs $0.50 per 1M input tokens and $2.50 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/claude-haiku-4-5 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer claude-haiku-4.5 costs $0.50 per 1M input tokens and $2.50 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $10.00. The cheapest comparable alternative is gpt-4o-mini at $1.50 per 1M output tokens. claude-haiku-4.5 is priced at $0.50 per 1M input tokens and $2.50 per 1M output tokens, with roughly 90 ms to first token and about 160 tokens/sec output throughput. ## Price per 1M tokens Input $0.50 · Output $2.50 · Output/input ratio 5.0x. - 1M input + 1M output tokens: $3.00 - 10M input + 2M output tokens/month: $10.00 - 100M input + 20M output tokens/month: $100.00 ## Cheaper alternatives to claude-haiku-4.5 Same workload, lower output price. Validate quality before switching. - deepseek-r2 — $2.20/1M output (12% cheaper) - gpt-4.1-mini — $2.00/1M output (20% cheaper) - mistral-medium-3 — $2.00/1M output (20% cheaper) - gpt-4o-mini — $1.50/1M output (40% cheaper) ## How much are you wasting on claude-haiku-4.5? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does claude-haiku-4.5 cost per million tokens? $0.50 per 1M input tokens and $2.50 per 1M output tokens, as listed on 2026-09-02. ### What does claude-haiku-4.5 cost per month at typical usage? At 10M input and 2M output tokens per month, claude-haiku-4.5 costs about $10.00. At 100M input and 20M output tokens it costs about $100.00. ### Is there a cheaper alternative to claude-haiku-4.5? Yes. deepseek-r2 at $2.20/1M output, gpt-4.1-mini at $2.00/1M output, mistral-medium-3 at $2.00/1M output, gpt-4o-mini at $1.50/1M output. Validate quality on your own evaluation set before switching. ### How fast is claude-haiku-4.5? Roughly 90 ms to first token and about 160 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [deepseek-r2 pricing](https://tokenomy.ai/models/deepseek-r2) - [gpt-4.1-mini pricing](https://tokenomy.ai/models/gpt-4-1-mini) - [mistral-medium-3 pricing](https://tokenomy.ai/models/mistral-medium-3) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # gemini-3.5-pro pricing > gemini-3.5-pro costs $2.50 per 1M input tokens and $12.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/gemini-3-5-pro Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer gemini-3.5-pro costs $2.50 per 1M input tokens and $12.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $49.00. The cheapest comparable alternative is gpt-4.1 at $8.00 per 1M output tokens. gemini-3.5-pro is priced at $2.50 per 1M input tokens and $12.00 per 1M output tokens, with roughly 140 ms to first token and about 140 tokens/sec output throughput. ## Price per 1M tokens Input $2.50 · Output $12.00 · Output/input ratio 4.8x. - 1M input + 1M output tokens: $14.50 - 10M input + 2M output tokens/month: $49.00 - 100M input + 20M output tokens/month: $490.00 ## Cheaper alternatives to gemini-3.5-pro Same workload, lower output price. Validate quality before switching. - gemini-2.5-pro — $10.00/1M output (17% cheaper) - llama-4.1-405b — $8.00/1M output (33% cheaper) - gpt-5.2 — $8.00/1M output (33% cheaper) - gpt-4.1 — $8.00/1M output (33% cheaper) ## How much are you wasting on gemini-3.5-pro? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does gemini-3.5-pro cost per million tokens? $2.50 per 1M input tokens and $12.00 per 1M output tokens, as listed on 2026-09-02. ### What does gemini-3.5-pro cost per month at typical usage? At 10M input and 2M output tokens per month, gemini-3.5-pro costs about $49.00. At 100M input and 20M output tokens it costs about $490.00. ### Is there a cheaper alternative to gemini-3.5-pro? Yes. gemini-2.5-pro at $10.00/1M output, llama-4.1-405b at $8.00/1M output, gpt-5.2 at $8.00/1M output, gpt-4.1 at $8.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is gemini-3.5-pro? Roughly 140 ms to first token and about 140 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gemini-2.5-pro pricing](https://tokenomy.ai/models/gemini-2-5-pro) - [llama-4.1-405b pricing](https://tokenomy.ai/models/llama-4-1-405b) - [gpt-5.2 pricing](https://tokenomy.ai/models/gpt-5-2) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # gemini-3.5-flash pricing > gemini-3.5-flash costs $0.12 per 1M input tokens and $0.50 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/gemini-3-5-flash Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer gemini-3.5-flash costs $0.12 per 1M input tokens and $0.50 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $2.20. The cheapest comparable alternative is qwen-3-plus at $0.30 per 1M output tokens. gemini-3.5-flash is priced at $0.12 per 1M input tokens and $0.50 per 1M output tokens, with roughly 60 ms to first token and about 230 tokens/sec output throughput. ## Price per 1M tokens Input $0.12 · Output $0.50 · Output/input ratio 4.2x. - 1M input + 1M output tokens: $0.62 - 10M input + 2M output tokens/month: $2.20 - 100M input + 20M output tokens/month: $22.00 ## Cheaper alternatives to gemini-3.5-flash Same workload, lower output price. Validate quality before switching. - gemini-3-flash — $0.40/1M output (20% cheaper) - phi-4 — $0.40/1M output (20% cheaper) - deepseek-v3 — $0.30/1M output (40% cheaper) - qwen-3-plus — $0.30/1M output (40% cheaper) ## How much are you wasting on gemini-3.5-flash? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does gemini-3.5-flash cost per million tokens? $0.12 per 1M input tokens and $0.50 per 1M output tokens, as listed on 2026-09-02. ### What does gemini-3.5-flash cost per month at typical usage? At 10M input and 2M output tokens per month, gemini-3.5-flash costs about $2.20. At 100M input and 20M output tokens it costs about $22.00. ### Is there a cheaper alternative to gemini-3.5-flash? Yes. gemini-3-flash at $0.40/1M output, phi-4 at $0.40/1M output, deepseek-v3 at $0.30/1M output, qwen-3-plus at $0.30/1M output. Validate quality on your own evaluation set before switching. ### How fast is gemini-3.5-flash? Roughly 60 ms to first token and about 230 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gemini-3-flash pricing](https://tokenomy.ai/models/gemini-3-flash) - [phi-4 pricing](https://tokenomy.ai/models/phi-4) - [deepseek-v3 pricing](https://tokenomy.ai/models/deepseek-v3) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # grok-4 pricing > grok-4 costs $3.50 per 1M input tokens and $14.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/grok-4 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer grok-4 costs $3.50 per 1M input tokens and $14.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $63.00. The cheapest comparable alternative is gemini-2.5-pro at $10.00 per 1M output tokens. grok-4 is priced at $3.50 per 1M input tokens and $14.00 per 1M output tokens, with roughly 210 ms to first token and about 95 tokens/sec output throughput. ## Price per 1M tokens Input $3.50 · Output $14.00 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $17.50 - 10M input + 2M output tokens/month: $63.00 - 100M input + 20M output tokens/month: $630.00 ## Cheaper alternatives to grok-4 Same workload, lower output price. Validate quality before switching. - gemini-3.5-pro — $12.00/1M output (14% cheaper) - gpt-5 — $12.00/1M output (14% cheaper) - azure-gpt-5 — $12.00/1M output (14% cheaper) - gemini-2.5-pro — $10.00/1M output (29% cheaper) ## How much are you wasting on grok-4? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does grok-4 cost per million tokens? $3.50 per 1M input tokens and $14.00 per 1M output tokens, as listed on 2026-09-02. ### What does grok-4 cost per month at typical usage? At 10M input and 2M output tokens per month, grok-4 costs about $63.00. At 100M input and 20M output tokens it costs about $630.00. ### Is there a cheaper alternative to grok-4? Yes. gemini-3.5-pro at $12.00/1M output, gpt-5 at $12.00/1M output, azure-gpt-5 at $12.00/1M output, gemini-2.5-pro at $10.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is grok-4? Roughly 210 ms to first token and about 95 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gemini-3.5-pro pricing](https://tokenomy.ai/models/gemini-3-5-pro) - [gpt-5 pricing](https://tokenomy.ai/models/gpt-5) - [azure-gpt-5 pricing](https://tokenomy.ai/models/azure-gpt-5) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # llama-4.1-405b pricing > llama-4.1-405b costs $2.80 per 1M input tokens and $8.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/llama-4-1-405b Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer llama-4.1-405b costs $2.80 per 1M input tokens and $8.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $44.00. The cheapest comparable alternative is claude-haiku-4.5 at $2.50 per 1M output tokens. llama-4.1-405b is priced at $2.80 per 1M input tokens and $8.00 per 1M output tokens, with roughly 320 ms to first token and about 60 tokens/sec output throughput. ## Price per 1M tokens Input $2.80 · Output $8.00 · Output/input ratio 2.9x. - 1M input + 1M output tokens: $10.80 - 10M input + 2M output tokens/month: $44.00 - 100M input + 20M output tokens/month: $440.00 ## Cheaper alternatives to llama-4.1-405b Same workload, lower output price. Validate quality before switching. - mistral-large-4 — $6.00/1M output (25% cheaper) - gpt-5-mini — $3.20/1M output (60% cheaper) - amazon-nova-pro — $3.20/1M output (60% cheaper) - claude-haiku-4.5 — $2.50/1M output (69% cheaper) ## How much are you wasting on llama-4.1-405b? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does llama-4.1-405b cost per million tokens? $2.80 per 1M input tokens and $8.00 per 1M output tokens, as listed on 2026-09-02. ### What does llama-4.1-405b cost per month at typical usage? At 10M input and 2M output tokens per month, llama-4.1-405b costs about $44.00. At 100M input and 20M output tokens it costs about $440.00. ### Is there a cheaper alternative to llama-4.1-405b? Yes. mistral-large-4 at $6.00/1M output, gpt-5-mini at $3.20/1M output, amazon-nova-pro at $3.20/1M output, claude-haiku-4.5 at $2.50/1M output. Validate quality on your own evaluation set before switching. ### How fast is llama-4.1-405b? Roughly 320 ms to first token and about 60 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [mistral-large-4 pricing](https://tokenomy.ai/models/mistral-large-4) - [gpt-5-mini pricing](https://tokenomy.ai/models/gpt-5-mini) - [amazon-nova-pro pricing](https://tokenomy.ai/models/amazon-nova-pro) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # glm-5.2 pricing > glm-5.2 costs $0.35 per 1M input tokens and $1.40 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/glm-5-2 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer glm-5.2 costs $0.35 per 1M input tokens and $1.40 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $6.30. The cheapest comparable alternative is llama-4-behemoth at $1.00 per 1M output tokens. glm-5.2 is priced at $0.35 per 1M input tokens and $1.40 per 1M output tokens, with roughly 180 ms to first token and about 120 tokens/sec output throughput. ## Price per 1M tokens Input $0.35 · Output $1.40 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $1.75 - 10M input + 2M output tokens/month: $6.30 - 100M input + 20M output tokens/month: $63.00 ## Cheaper alternatives to glm-5.2 Same workload, lower output price. Validate quality before switching. - claude-3-haiku — $1.25/1M output (11% cheaper) - gpt-5-nano — $1.20/1M output (14% cheaper) - claude-haiku-4 — $1.00/1M output (29% cheaper) - llama-4-behemoth — $1.00/1M output (29% cheaper) ## How much are you wasting on glm-5.2? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does glm-5.2 cost per million tokens? $0.35 per 1M input tokens and $1.40 per 1M output tokens, as listed on 2026-09-02. ### What does glm-5.2 cost per month at typical usage? At 10M input and 2M output tokens per month, glm-5.2 costs about $6.30. At 100M input and 20M output tokens it costs about $63.00. ### Is there a cheaper alternative to glm-5.2? Yes. claude-3-haiku at $1.25/1M output, gpt-5-nano at $1.20/1M output, claude-haiku-4 at $1.00/1M output, llama-4-behemoth at $1.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is glm-5.2? Roughly 180 ms to first token and about 120 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [claude-3-haiku pricing](https://tokenomy.ai/models/claude-3-haiku) - [gpt-5-nano pricing](https://tokenomy.ai/models/gpt-5-nano) - [claude-haiku-4 pricing](https://tokenomy.ai/models/claude-haiku-4) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # gpt-5.2 pricing > gpt-5.2 costs $2.00 per 1M input tokens and $8.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/gpt-5-2 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer gpt-5.2 costs $2.00 per 1M input tokens and $8.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $36.00. The cheapest comparable alternative is claude-haiku-4.5 at $2.50 per 1M output tokens. gpt-5.2 is priced at $2.00 per 1M input tokens and $8.00 per 1M output tokens, with roughly 200 ms to first token and about 220 tokens/sec output throughput. ## Price per 1M tokens Input $2.00 · Output $8.00 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $10.00 - 10M input + 2M output tokens/month: $36.00 - 100M input + 20M output tokens/month: $360.00 ## Cheaper alternatives to gpt-5.2 Same workload, lower output price. Validate quality before switching. - mistral-large-4 — $6.00/1M output (25% cheaper) - gpt-5-mini — $3.20/1M output (60% cheaper) - amazon-nova-pro — $3.20/1M output (60% cheaper) - claude-haiku-4.5 — $2.50/1M output (69% cheaper) ## How much are you wasting on gpt-5.2? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does gpt-5.2 cost per million tokens? $2.00 per 1M input tokens and $8.00 per 1M output tokens, as listed on 2026-09-02. ### What does gpt-5.2 cost per month at typical usage? At 10M input and 2M output tokens per month, gpt-5.2 costs about $36.00. At 100M input and 20M output tokens it costs about $360.00. ### Is there a cheaper alternative to gpt-5.2? Yes. mistral-large-4 at $6.00/1M output, gpt-5-mini at $3.20/1M output, amazon-nova-pro at $3.20/1M output, claude-haiku-4.5 at $2.50/1M output. Validate quality on your own evaluation set before switching. ### How fast is gpt-5.2? Roughly 200 ms to first token and about 220 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [mistral-large-4 pricing](https://tokenomy.ai/models/mistral-large-4) - [gpt-5-mini pricing](https://tokenomy.ai/models/gpt-5-mini) - [amazon-nova-pro pricing](https://tokenomy.ai/models/amazon-nova-pro) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # gpt-5 pricing > gpt-5 costs $3.00 per 1M input tokens and $12.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/gpt-5 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer gpt-5 costs $3.00 per 1M input tokens and $12.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $54.00. The cheapest comparable alternative is gpt-4.1 at $8.00 per 1M output tokens. gpt-5 is priced at $3.00 per 1M input tokens and $12.00 per 1M output tokens, with roughly 250 ms to first token and about 180 tokens/sec output throughput. ## Price per 1M tokens Input $3.00 · Output $12.00 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $15.00 - 10M input + 2M output tokens/month: $54.00 - 100M input + 20M output tokens/month: $540.00 ## Cheaper alternatives to gpt-5 Same workload, lower output price. Validate quality before switching. - gemini-2.5-pro — $10.00/1M output (17% cheaper) - llama-4.1-405b — $8.00/1M output (33% cheaper) - gpt-5.2 — $8.00/1M output (33% cheaper) - gpt-4.1 — $8.00/1M output (33% cheaper) ## How much are you wasting on gpt-5? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does gpt-5 cost per million tokens? $3.00 per 1M input tokens and $12.00 per 1M output tokens, as listed on 2026-09-02. ### What does gpt-5 cost per month at typical usage? At 10M input and 2M output tokens per month, gpt-5 costs about $54.00. At 100M input and 20M output tokens it costs about $540.00. ### Is there a cheaper alternative to gpt-5? Yes. gemini-2.5-pro at $10.00/1M output, llama-4.1-405b at $8.00/1M output, gpt-5.2 at $8.00/1M output, gpt-4.1 at $8.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is gpt-5? Roughly 250 ms to first token and about 180 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gemini-2.5-pro pricing](https://tokenomy.ai/models/gemini-2-5-pro) - [llama-4.1-405b pricing](https://tokenomy.ai/models/llama-4-1-405b) - [gpt-5.2 pricing](https://tokenomy.ai/models/gpt-5-2) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # gpt-5-mini pricing > gpt-5-mini costs $0.80 per 1M input tokens and $3.20 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/gpt-5-mini Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer gpt-5-mini costs $0.80 per 1M input tokens and $3.20 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $14.40. The cheapest comparable alternative is mistral-medium-3 at $2.00 per 1M output tokens. gpt-5-mini is priced at $0.80 per 1M input tokens and $3.20 per 1M output tokens, with roughly 150 ms to first token and about 120 tokens/sec output throughput. ## Price per 1M tokens Input $0.80 · Output $3.20 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $4.00 - 10M input + 2M output tokens/month: $14.40 - 100M input + 20M output tokens/month: $144.00 ## Cheaper alternatives to gpt-5-mini Same workload, lower output price. Validate quality before switching. - claude-haiku-4.5 — $2.50/1M output (22% cheaper) - deepseek-r2 — $2.20/1M output (31% cheaper) - gpt-4.1-mini — $2.00/1M output (38% cheaper) - mistral-medium-3 — $2.00/1M output (38% cheaper) ## How much are you wasting on gpt-5-mini? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does gpt-5-mini cost per million tokens? $0.80 per 1M input tokens and $3.20 per 1M output tokens, as listed on 2026-09-02. ### What does gpt-5-mini cost per month at typical usage? At 10M input and 2M output tokens per month, gpt-5-mini costs about $14.40. At 100M input and 20M output tokens it costs about $144.00. ### Is there a cheaper alternative to gpt-5-mini? Yes. claude-haiku-4.5 at $2.50/1M output, deepseek-r2 at $2.20/1M output, gpt-4.1-mini at $2.00/1M output, mistral-medium-3 at $2.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is gpt-5-mini? Roughly 150 ms to first token and about 120 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [claude-haiku-4.5 pricing](https://tokenomy.ai/models/claude-haiku-4-5) - [deepseek-r2 pricing](https://tokenomy.ai/models/deepseek-r2) - [gpt-4.1-mini pricing](https://tokenomy.ai/models/gpt-4-1-mini) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # gpt-5-nano pricing > gpt-5-nano costs $0.30 per 1M input tokens and $1.20 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/gpt-5-nano Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer gpt-5-nano costs $0.30 per 1M input tokens and $1.20 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $5.40. The cheapest comparable alternative is mistral-small-3 at $0.80 per 1M output tokens. gpt-5-nano is priced at $0.30 per 1M input tokens and $1.20 per 1M output tokens, with roughly 120 ms to first token and about 100 tokens/sec output throughput. ## Price per 1M tokens Input $0.30 · Output $1.20 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $1.50 - 10M input + 2M output tokens/month: $5.40 - 100M input + 20M output tokens/month: $54.00 ## Cheaper alternatives to gpt-5-nano Same workload, lower output price. Validate quality before switching. - claude-haiku-4 — $1.00/1M output (17% cheaper) - llama-4-behemoth — $1.00/1M output (17% cheaper) - amazon-nova-lite — $0.80/1M output (33% cheaper) - mistral-small-3 — $0.80/1M output (33% cheaper) ## How much are you wasting on gpt-5-nano? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does gpt-5-nano cost per million tokens? $0.30 per 1M input tokens and $1.20 per 1M output tokens, as listed on 2026-09-02. ### What does gpt-5-nano cost per month at typical usage? At 10M input and 2M output tokens per month, gpt-5-nano costs about $5.40. At 100M input and 20M output tokens it costs about $54.00. ### Is there a cheaper alternative to gpt-5-nano? Yes. claude-haiku-4 at $1.00/1M output, llama-4-behemoth at $1.00/1M output, amazon-nova-lite at $0.80/1M output, mistral-small-3 at $0.80/1M output. Validate quality on your own evaluation set before switching. ### How fast is gpt-5-nano? Roughly 120 ms to first token and about 100 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [claude-haiku-4 pricing](https://tokenomy.ai/models/claude-haiku-4) - [llama-4-behemoth pricing](https://tokenomy.ai/models/llama-4-behemoth) - [amazon-nova-lite pricing](https://tokenomy.ai/models/amazon-nova-lite) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # gpt-4.1 pricing > gpt-4.1 costs $2.00 per 1M input tokens and $8.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/gpt-4-1 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer gpt-4.1 costs $2.00 per 1M input tokens and $8.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $36.00. The cheapest comparable alternative is claude-haiku-4.5 at $2.50 per 1M output tokens. gpt-4.1 is priced at $2.00 per 1M input tokens and $8.00 per 1M output tokens, with roughly 200 ms to first token and about 140 tokens/sec output throughput. ## Price per 1M tokens Input $2.00 · Output $8.00 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $10.00 - 10M input + 2M output tokens/month: $36.00 - 100M input + 20M output tokens/month: $360.00 ## Cheaper alternatives to gpt-4.1 Same workload, lower output price. Validate quality before switching. - mistral-large-4 — $6.00/1M output (25% cheaper) - gpt-5-mini — $3.20/1M output (60% cheaper) - amazon-nova-pro — $3.20/1M output (60% cheaper) - claude-haiku-4.5 — $2.50/1M output (69% cheaper) ## How much are you wasting on gpt-4.1? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does gpt-4.1 cost per million tokens? $2.00 per 1M input tokens and $8.00 per 1M output tokens, as listed on 2026-09-02. ### What does gpt-4.1 cost per month at typical usage? At 10M input and 2M output tokens per month, gpt-4.1 costs about $36.00. At 100M input and 20M output tokens it costs about $360.00. ### Is there a cheaper alternative to gpt-4.1? Yes. mistral-large-4 at $6.00/1M output, gpt-5-mini at $3.20/1M output, amazon-nova-pro at $3.20/1M output, claude-haiku-4.5 at $2.50/1M output. Validate quality on your own evaluation set before switching. ### How fast is gpt-4.1? Roughly 200 ms to first token and about 140 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [mistral-large-4 pricing](https://tokenomy.ai/models/mistral-large-4) - [gpt-5-mini pricing](https://tokenomy.ai/models/gpt-5-mini) - [amazon-nova-pro pricing](https://tokenomy.ai/models/amazon-nova-pro) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # gpt-4.1-mini pricing > gpt-4.1-mini costs $0.50 per 1M input tokens and $2.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/gpt-4-1-mini Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer gpt-4.1-mini costs $0.50 per 1M input tokens and $2.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $9.00. The cheapest comparable alternative is gpt-5-nano at $1.20 per 1M output tokens. gpt-4.1-mini is priced at $0.50 per 1M input tokens and $2.00 per 1M output tokens, with roughly 150 ms to first token and about 110 tokens/sec output throughput. ## Price per 1M tokens Input $0.50 · Output $2.00 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $2.50 - 10M input + 2M output tokens/month: $9.00 - 100M input + 20M output tokens/month: $90.00 ## Cheaper alternatives to gpt-4.1-mini Same workload, lower output price. Validate quality before switching. - gpt-4o-mini — $1.50/1M output (25% cheaper) - glm-5.2 — $1.40/1M output (30% cheaper) - claude-3-haiku — $1.25/1M output (38% cheaper) - gpt-5-nano — $1.20/1M output (40% cheaper) ## How much are you wasting on gpt-4.1-mini? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does gpt-4.1-mini cost per million tokens? $0.50 per 1M input tokens and $2.00 per 1M output tokens, as listed on 2026-09-02. ### What does gpt-4.1-mini cost per month at typical usage? At 10M input and 2M output tokens per month, gpt-4.1-mini costs about $9.00. At 100M input and 20M output tokens it costs about $90.00. ### Is there a cheaper alternative to gpt-4.1-mini? Yes. gpt-4o-mini at $1.50/1M output, glm-5.2 at $1.40/1M output, claude-3-haiku at $1.25/1M output, gpt-5-nano at $1.20/1M output. Validate quality on your own evaluation set before switching. ### How fast is gpt-4.1-mini? Roughly 150 ms to first token and about 110 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gpt-4o-mini pricing](https://tokenomy.ai/models/gpt-4o-mini) - [glm-5.2 pricing](https://tokenomy.ai/models/glm-5-2) - [claude-3-haiku pricing](https://tokenomy.ai/models/claude-3-haiku) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # o4 pricing > o4 costs $8.00 per 1M input tokens and $32.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/o4 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer o4 costs $8.00 per 1M input tokens and $32.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $144.00. The cheapest comparable alternative is claude-sonnet-4 at $15.00 per 1M output tokens. o4 is priced at $8.00 per 1M input tokens and $32.00 per 1M output tokens, with roughly 350 ms to first token and about 60 tokens/sec output throughput. ## Price per 1M tokens Input $8.00 · Output $32.00 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $40.00 - 10M input + 2M output tokens/month: $144.00 - 100M input + 20M output tokens/month: $1440.00 ## Cheaper alternatives to o4 Same workload, lower output price. Validate quality before switching. - claude-fable-5 — $22.00/1M output (31% cheaper) - gpt-5.6-sol — $18.00/1M output (44% cheaper) - gpt-4o — $15.00/1M output (53% cheaper) - claude-sonnet-4 — $15.00/1M output (53% cheaper) ## How much are you wasting on o4? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does o4 cost per million tokens? $8.00 per 1M input tokens and $32.00 per 1M output tokens, as listed on 2026-09-02. ### What does o4 cost per month at typical usage? At 10M input and 2M output tokens per month, o4 costs about $144.00. At 100M input and 20M output tokens it costs about $1440.00. ### Is there a cheaper alternative to o4? Yes. claude-fable-5 at $22.00/1M output, gpt-5.6-sol at $18.00/1M output, gpt-4o at $15.00/1M output, claude-sonnet-4 at $15.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is o4? Roughly 350 ms to first token and about 60 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [claude-fable-5 pricing](https://tokenomy.ai/models/claude-fable-5) - [gpt-5.6-sol pricing](https://tokenomy.ai/models/gpt-5-6-sol) - [gpt-4o pricing](https://tokenomy.ai/models/gpt-4o) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # o4-mini pricing > o4-mini costs $2.00 per 1M input tokens and $8.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/o4-mini Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer o4-mini costs $2.00 per 1M input tokens and $8.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $36.00. The cheapest comparable alternative is claude-haiku-4.5 at $2.50 per 1M output tokens. o4-mini is priced at $2.00 per 1M input tokens and $8.00 per 1M output tokens, with roughly 280 ms to first token and about 80 tokens/sec output throughput. ## Price per 1M tokens Input $2.00 · Output $8.00 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $10.00 - 10M input + 2M output tokens/month: $36.00 - 100M input + 20M output tokens/month: $360.00 ## Cheaper alternatives to o4-mini Same workload, lower output price. Validate quality before switching. - mistral-large-4 — $6.00/1M output (25% cheaper) - gpt-5-mini — $3.20/1M output (60% cheaper) - amazon-nova-pro — $3.20/1M output (60% cheaper) - claude-haiku-4.5 — $2.50/1M output (69% cheaper) ## How much are you wasting on o4-mini? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does o4-mini cost per million tokens? $2.00 per 1M input tokens and $8.00 per 1M output tokens, as listed on 2026-09-02. ### What does o4-mini cost per month at typical usage? At 10M input and 2M output tokens per month, o4-mini costs about $36.00. At 100M input and 20M output tokens it costs about $360.00. ### Is there a cheaper alternative to o4-mini? Yes. mistral-large-4 at $6.00/1M output, gpt-5-mini at $3.20/1M output, amazon-nova-pro at $3.20/1M output, claude-haiku-4.5 at $2.50/1M output. Validate quality on your own evaluation set before switching. ### How fast is o4-mini? Roughly 280 ms to first token and about 80 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [mistral-large-4 pricing](https://tokenomy.ai/models/mistral-large-4) - [gpt-5-mini pricing](https://tokenomy.ai/models/gpt-5-mini) - [amazon-nova-pro pricing](https://tokenomy.ai/models/amazon-nova-pro) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # o3 pricing > o3 costs $10.00 per 1M input tokens and $40.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/o3 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer o3 costs $10.00 per 1M input tokens and $40.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $180.00. The cheapest comparable alternative is gpt-4o at $15.00 per 1M output tokens. o3 is priced at $10.00 per 1M input tokens and $40.00 per 1M output tokens, with roughly 400 ms to first token and about 50 tokens/sec output throughput. ## Price per 1M tokens Input $10.00 · Output $40.00 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $50.00 - 10M input + 2M output tokens/month: $180.00 - 100M input + 20M output tokens/month: $1800.00 ## Cheaper alternatives to o3 Same workload, lower output price. Validate quality before switching. - o4 — $32.00/1M output (20% cheaper) - claude-fable-5 — $22.00/1M output (45% cheaper) - gpt-5.6-sol — $18.00/1M output (55% cheaper) - gpt-4o — $15.00/1M output (63% cheaper) ## How much are you wasting on o3? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does o3 cost per million tokens? $10.00 per 1M input tokens and $40.00 per 1M output tokens, as listed on 2026-09-02. ### What does o3 cost per month at typical usage? At 10M input and 2M output tokens per month, o3 costs about $180.00. At 100M input and 20M output tokens it costs about $1800.00. ### Is there a cheaper alternative to o3? Yes. o4 at $32.00/1M output, claude-fable-5 at $22.00/1M output, gpt-5.6-sol at $18.00/1M output, gpt-4o at $15.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is o3? Roughly 400 ms to first token and about 50 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [o4 pricing](https://tokenomy.ai/models/o4) - [claude-fable-5 pricing](https://tokenomy.ai/models/claude-fable-5) - [gpt-5.6-sol pricing](https://tokenomy.ai/models/gpt-5-6-sol) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # gpt-4o pricing > gpt-4o costs $5.00 per 1M input tokens and $15.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/gpt-4o Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer gpt-4o costs $5.00 per 1M input tokens and $15.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $80.00. The cheapest comparable alternative is azure-gpt-5 at $12.00 per 1M output tokens. gpt-4o is priced at $5.00 per 1M input tokens and $15.00 per 1M output tokens, with roughly 300 ms to first token and about 120 tokens/sec output throughput. ## Price per 1M tokens Input $5.00 · Output $15.00 · Output/input ratio 3.0x. - 1M input + 1M output tokens: $20.00 - 10M input + 2M output tokens/month: $80.00 - 100M input + 20M output tokens/month: $800.00 ## Cheaper alternatives to gpt-4o Same workload, lower output price. Validate quality before switching. - grok-4 — $14.00/1M output (7% cheaper) - gemini-3.5-pro — $12.00/1M output (20% cheaper) - gpt-5 — $12.00/1M output (20% cheaper) - azure-gpt-5 — $12.00/1M output (20% cheaper) ## How much are you wasting on gpt-4o? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does gpt-4o cost per million tokens? $5.00 per 1M input tokens and $15.00 per 1M output tokens, as listed on 2026-09-02. ### What does gpt-4o cost per month at typical usage? At 10M input and 2M output tokens per month, gpt-4o costs about $80.00. At 100M input and 20M output tokens it costs about $800.00. ### Is there a cheaper alternative to gpt-4o? Yes. grok-4 at $14.00/1M output, gemini-3.5-pro at $12.00/1M output, gpt-5 at $12.00/1M output, azure-gpt-5 at $12.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is gpt-4o? Roughly 300 ms to first token and about 120 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [grok-4 pricing](https://tokenomy.ai/models/grok-4) - [gemini-3.5-pro pricing](https://tokenomy.ai/models/gemini-3-5-pro) - [gpt-5 pricing](https://tokenomy.ai/models/gpt-5) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # gpt-4o-mini pricing > gpt-4o-mini costs $0.50 per 1M input tokens and $1.50 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/gpt-4o-mini Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer gpt-4o-mini costs $0.50 per 1M input tokens and $1.50 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $8.00. The cheapest comparable alternative is claude-haiku-4 at $1.00 per 1M output tokens. gpt-4o-mini is priced at $0.50 per 1M input tokens and $1.50 per 1M output tokens, with roughly 180 ms to first token and about 80 tokens/sec output throughput. ## Price per 1M tokens Input $0.50 · Output $1.50 · Output/input ratio 3.0x. - 1M input + 1M output tokens: $2.00 - 10M input + 2M output tokens/month: $8.00 - 100M input + 20M output tokens/month: $80.00 ## Cheaper alternatives to gpt-4o-mini Same workload, lower output price. Validate quality before switching. - glm-5.2 — $1.40/1M output (7% cheaper) - claude-3-haiku — $1.25/1M output (17% cheaper) - gpt-5-nano — $1.20/1M output (20% cheaper) - claude-haiku-4 — $1.00/1M output (33% cheaper) ## How much are you wasting on gpt-4o-mini? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does gpt-4o-mini cost per million tokens? $0.50 per 1M input tokens and $1.50 per 1M output tokens, as listed on 2026-09-02. ### What does gpt-4o-mini cost per month at typical usage? At 10M input and 2M output tokens per month, gpt-4o-mini costs about $8.00. At 100M input and 20M output tokens it costs about $80.00. ### Is there a cheaper alternative to gpt-4o-mini? Yes. glm-5.2 at $1.40/1M output, claude-3-haiku at $1.25/1M output, gpt-5-nano at $1.20/1M output, claude-haiku-4 at $1.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is gpt-4o-mini? Roughly 180 ms to first token and about 80 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [glm-5.2 pricing](https://tokenomy.ai/models/glm-5-2) - [claude-3-haiku pricing](https://tokenomy.ai/models/claude-3-haiku) - [gpt-5-nano pricing](https://tokenomy.ai/models/gpt-5-nano) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # claude-opus-4 pricing > claude-opus-4 costs $15.00 per 1M input tokens and $75.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/claude-opus-4 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer claude-opus-4 costs $15.00 per 1M input tokens and $75.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $300.00. The cheapest comparable alternative is gpt-5.6-sol at $18.00 per 1M output tokens. claude-opus-4 is priced at $15.00 per 1M input tokens and $75.00 per 1M output tokens, with roughly 300 ms to first token and about 55 tokens/sec output throughput. ## Price per 1M tokens Input $15.00 · Output $75.00 · Output/input ratio 5.0x. - 1M input + 1M output tokens: $90.00 - 10M input + 2M output tokens/month: $300.00 - 100M input + 20M output tokens/month: $3000.00 ## Cheaper alternatives to claude-opus-4 Same workload, lower output price. Validate quality before switching. - o3 — $40.00/1M output (47% cheaper) - o4 — $32.00/1M output (57% cheaper) - claude-fable-5 — $22.00/1M output (71% cheaper) - gpt-5.6-sol — $18.00/1M output (76% cheaper) ## How much are you wasting on claude-opus-4? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does claude-opus-4 cost per million tokens? $15.00 per 1M input tokens and $75.00 per 1M output tokens, as listed on 2026-09-02. ### What does claude-opus-4 cost per month at typical usage? At 10M input and 2M output tokens per month, claude-opus-4 costs about $300.00. At 100M input and 20M output tokens it costs about $3000.00. ### Is there a cheaper alternative to claude-opus-4? Yes. o3 at $40.00/1M output, o4 at $32.00/1M output, claude-fable-5 at $22.00/1M output, gpt-5.6-sol at $18.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is claude-opus-4? Roughly 300 ms to first token and about 55 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [o3 pricing](https://tokenomy.ai/models/o3) - [o4 pricing](https://tokenomy.ai/models/o4) - [claude-fable-5 pricing](https://tokenomy.ai/models/claude-fable-5) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # claude-sonnet-4 pricing > claude-sonnet-4 costs $3.00 per 1M input tokens and $15.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/claude-sonnet-4 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer claude-sonnet-4 costs $3.00 per 1M input tokens and $15.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $60.00. The cheapest comparable alternative is azure-gpt-5 at $12.00 per 1M output tokens. claude-sonnet-4 is priced at $3.00 per 1M input tokens and $15.00 per 1M output tokens, with roughly 160 ms to first token and about 100 tokens/sec output throughput. ## Price per 1M tokens Input $3.00 · Output $15.00 · Output/input ratio 5.0x. - 1M input + 1M output tokens: $18.00 - 10M input + 2M output tokens/month: $60.00 - 100M input + 20M output tokens/month: $600.00 ## Cheaper alternatives to claude-sonnet-4 Same workload, lower output price. Validate quality before switching. - grok-4 — $14.00/1M output (7% cheaper) - gemini-3.5-pro — $12.00/1M output (20% cheaper) - gpt-5 — $12.00/1M output (20% cheaper) - azure-gpt-5 — $12.00/1M output (20% cheaper) ## How much are you wasting on claude-sonnet-4? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does claude-sonnet-4 cost per million tokens? $3.00 per 1M input tokens and $15.00 per 1M output tokens, as listed on 2026-09-02. ### What does claude-sonnet-4 cost per month at typical usage? At 10M input and 2M output tokens per month, claude-sonnet-4 costs about $60.00. At 100M input and 20M output tokens it costs about $600.00. ### Is there a cheaper alternative to claude-sonnet-4? Yes. grok-4 at $14.00/1M output, gemini-3.5-pro at $12.00/1M output, gpt-5 at $12.00/1M output, azure-gpt-5 at $12.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is claude-sonnet-4? Roughly 160 ms to first token and about 100 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [grok-4 pricing](https://tokenomy.ai/models/grok-4) - [gemini-3.5-pro pricing](https://tokenomy.ai/models/gemini-3-5-pro) - [gpt-5 pricing](https://tokenomy.ai/models/gpt-5) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # claude-haiku-4 pricing > claude-haiku-4 costs $0.20 per 1M input tokens and $1.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/claude-haiku-4 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer claude-haiku-4 costs $0.20 per 1M input tokens and $1.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $4.00. The cheapest comparable alternative is gemini-2.5-flash at $0.60 per 1M output tokens. claude-haiku-4 is priced at $0.20 per 1M input tokens and $1.00 per 1M output tokens, with roughly 100 ms to first token and about 140 tokens/sec output throughput. ## Price per 1M tokens Input $0.20 · Output $1.00 · Output/input ratio 5.0x. - 1M input + 1M output tokens: $1.20 - 10M input + 2M output tokens/month: $4.00 - 100M input + 20M output tokens/month: $40.00 ## Cheaper alternatives to claude-haiku-4 Same workload, lower output price. Validate quality before switching. - amazon-nova-lite — $0.80/1M output (20% cheaper) - mistral-small-3 — $0.80/1M output (20% cheaper) - llama-3.3-70b — $0.60/1M output (40% cheaper) - gemini-2.5-flash — $0.60/1M output (40% cheaper) ## How much are you wasting on claude-haiku-4? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does claude-haiku-4 cost per million tokens? $0.20 per 1M input tokens and $1.00 per 1M output tokens, as listed on 2026-09-02. ### What does claude-haiku-4 cost per month at typical usage? At 10M input and 2M output tokens per month, claude-haiku-4 costs about $4.00. At 100M input and 20M output tokens it costs about $40.00. ### Is there a cheaper alternative to claude-haiku-4? Yes. amazon-nova-lite at $0.80/1M output, mistral-small-3 at $0.80/1M output, llama-3.3-70b at $0.60/1M output, gemini-2.5-flash at $0.60/1M output. Validate quality on your own evaluation set before switching. ### How fast is claude-haiku-4? Roughly 100 ms to first token and about 140 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [amazon-nova-lite pricing](https://tokenomy.ai/models/amazon-nova-lite) - [mistral-small-3 pricing](https://tokenomy.ai/models/mistral-small-3) - [llama-3.3-70b pricing](https://tokenomy.ai/models/llama-3-3-70b) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # claude-3.5-sonnet pricing > claude-3.5-sonnet costs $3.00 per 1M input tokens and $15.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/claude-3-5-sonnet Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer claude-3.5-sonnet costs $3.00 per 1M input tokens and $15.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $60.00. The cheapest comparable alternative is azure-gpt-5 at $12.00 per 1M output tokens. claude-3.5-sonnet is priced at $3.00 per 1M input tokens and $15.00 per 1M output tokens, with roughly 200 ms to first token and about 80 tokens/sec output throughput. ## Price per 1M tokens Input $3.00 · Output $15.00 · Output/input ratio 5.0x. - 1M input + 1M output tokens: $18.00 - 10M input + 2M output tokens/month: $60.00 - 100M input + 20M output tokens/month: $600.00 ## Cheaper alternatives to claude-3.5-sonnet Same workload, lower output price. Validate quality before switching. - grok-4 — $14.00/1M output (7% cheaper) - gemini-3.5-pro — $12.00/1M output (20% cheaper) - gpt-5 — $12.00/1M output (20% cheaper) - azure-gpt-5 — $12.00/1M output (20% cheaper) ## How much are you wasting on claude-3.5-sonnet? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does claude-3.5-sonnet cost per million tokens? $3.00 per 1M input tokens and $15.00 per 1M output tokens, as listed on 2026-09-02. ### What does claude-3.5-sonnet cost per month at typical usage? At 10M input and 2M output tokens per month, claude-3.5-sonnet costs about $60.00. At 100M input and 20M output tokens it costs about $600.00. ### Is there a cheaper alternative to claude-3.5-sonnet? Yes. grok-4 at $14.00/1M output, gemini-3.5-pro at $12.00/1M output, gpt-5 at $12.00/1M output, azure-gpt-5 at $12.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is claude-3.5-sonnet? Roughly 200 ms to first token and about 80 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [grok-4 pricing](https://tokenomy.ai/models/grok-4) - [gemini-3.5-pro pricing](https://tokenomy.ai/models/gemini-3-5-pro) - [gpt-5 pricing](https://tokenomy.ai/models/gpt-5) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # claude-3-opus pricing > claude-3-opus costs $15.00 per 1M input tokens and $75.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/claude-3-opus Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer claude-3-opus costs $15.00 per 1M input tokens and $75.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $300.00. The cheapest comparable alternative is gpt-5.6-sol at $18.00 per 1M output tokens. claude-3-opus is priced at $15.00 per 1M input tokens and $75.00 per 1M output tokens, with roughly 550 ms to first token and about 25 tokens/sec output throughput. ## Price per 1M tokens Input $15.00 · Output $75.00 · Output/input ratio 5.0x. - 1M input + 1M output tokens: $90.00 - 10M input + 2M output tokens/month: $300.00 - 100M input + 20M output tokens/month: $3000.00 ## Cheaper alternatives to claude-3-opus Same workload, lower output price. Validate quality before switching. - o3 — $40.00/1M output (47% cheaper) - o4 — $32.00/1M output (57% cheaper) - claude-fable-5 — $22.00/1M output (71% cheaper) - gpt-5.6-sol — $18.00/1M output (76% cheaper) ## How much are you wasting on claude-3-opus? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does claude-3-opus cost per million tokens? $15.00 per 1M input tokens and $75.00 per 1M output tokens, as listed on 2026-09-02. ### What does claude-3-opus cost per month at typical usage? At 10M input and 2M output tokens per month, claude-3-opus costs about $300.00. At 100M input and 20M output tokens it costs about $3000.00. ### Is there a cheaper alternative to claude-3-opus? Yes. o3 at $40.00/1M output, o4 at $32.00/1M output, claude-fable-5 at $22.00/1M output, gpt-5.6-sol at $18.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is claude-3-opus? Roughly 550 ms to first token and about 25 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [o3 pricing](https://tokenomy.ai/models/o3) - [o4 pricing](https://tokenomy.ai/models/o4) - [claude-fable-5 pricing](https://tokenomy.ai/models/claude-fable-5) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # claude-3-haiku pricing > claude-3-haiku costs $0.25 per 1M input tokens and $1.25 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/claude-3-haiku Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer claude-3-haiku costs $0.25 per 1M input tokens and $1.25 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $5.00. The cheapest comparable alternative is amazon-nova-lite at $0.80 per 1M output tokens. claude-3-haiku is priced at $0.25 per 1M input tokens and $1.25 per 1M output tokens, with roughly 160 ms to first token and about 55 tokens/sec output throughput. ## Price per 1M tokens Input $0.25 · Output $1.25 · Output/input ratio 5.0x. - 1M input + 1M output tokens: $1.50 - 10M input + 2M output tokens/month: $5.00 - 100M input + 20M output tokens/month: $50.00 ## Cheaper alternatives to claude-3-haiku Same workload, lower output price. Validate quality before switching. - gpt-5-nano — $1.20/1M output (4% cheaper) - claude-haiku-4 — $1.00/1M output (20% cheaper) - llama-4-behemoth — $1.00/1M output (20% cheaper) - amazon-nova-lite — $0.80/1M output (36% cheaper) ## How much are you wasting on claude-3-haiku? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does claude-3-haiku cost per million tokens? $0.25 per 1M input tokens and $1.25 per 1M output tokens, as listed on 2026-09-02. ### What does claude-3-haiku cost per month at typical usage? At 10M input and 2M output tokens per month, claude-3-haiku costs about $5.00. At 100M input and 20M output tokens it costs about $50.00. ### Is there a cheaper alternative to claude-3-haiku? Yes. gpt-5-nano at $1.20/1M output, claude-haiku-4 at $1.00/1M output, llama-4-behemoth at $1.00/1M output, amazon-nova-lite at $0.80/1M output. Validate quality on your own evaluation set before switching. ### How fast is claude-3-haiku? Roughly 160 ms to first token and about 55 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gpt-5-nano pricing](https://tokenomy.ai/models/gpt-5-nano) - [claude-haiku-4 pricing](https://tokenomy.ai/models/claude-haiku-4) - [llama-4-behemoth pricing](https://tokenomy.ai/models/llama-4-behemoth) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # llama-4-behemoth pricing > llama-4-behemoth costs $1.00 per 1M input tokens and $1.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/llama-4-behemoth Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer llama-4-behemoth costs $1.00 per 1M input tokens and $1.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $12.00. The cheapest comparable alternative is gemini-2.5-flash at $0.60 per 1M output tokens. llama-4-behemoth is priced at $1.00 per 1M input tokens and $1.00 per 1M output tokens, with roughly 400 ms to first token and about 40 tokens/sec output throughput. ## Price per 1M tokens Input $1.00 · Output $1.00 · Output/input ratio 1.0x. - 1M input + 1M output tokens: $2.00 - 10M input + 2M output tokens/month: $12.00 - 100M input + 20M output tokens/month: $120.00 ## Cheaper alternatives to llama-4-behemoth Same workload, lower output price. Validate quality before switching. - amazon-nova-lite — $0.80/1M output (20% cheaper) - mistral-small-3 — $0.80/1M output (20% cheaper) - llama-3.3-70b — $0.60/1M output (40% cheaper) - gemini-2.5-flash — $0.60/1M output (40% cheaper) ## How much are you wasting on llama-4-behemoth? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does llama-4-behemoth cost per million tokens? $1.00 per 1M input tokens and $1.00 per 1M output tokens, as listed on 2026-09-02. ### What does llama-4-behemoth cost per month at typical usage? At 10M input and 2M output tokens per month, llama-4-behemoth costs about $12.00. At 100M input and 20M output tokens it costs about $120.00. ### Is there a cheaper alternative to llama-4-behemoth? Yes. amazon-nova-lite at $0.80/1M output, mistral-small-3 at $0.80/1M output, llama-3.3-70b at $0.60/1M output, gemini-2.5-flash at $0.60/1M output. Validate quality on your own evaluation set before switching. ### How fast is llama-4-behemoth? Roughly 400 ms to first token and about 40 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [amazon-nova-lite pricing](https://tokenomy.ai/models/amazon-nova-lite) - [mistral-small-3 pricing](https://tokenomy.ai/models/mistral-small-3) - [llama-3.3-70b pricing](https://tokenomy.ai/models/llama-3-3-70b) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # llama-4-maverick pricing > llama-4-maverick costs $0.50 per 1M input tokens and $0.50 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/llama-4-maverick Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer llama-4-maverick costs $0.50 per 1M input tokens and $0.50 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $6.00. The cheapest comparable alternative is qwen-3-plus at $0.30 per 1M output tokens. llama-4-maverick is priced at $0.50 per 1M input tokens and $0.50 per 1M output tokens, with roughly 280 ms to first token and about 55 tokens/sec output throughput. ## Price per 1M tokens Input $0.50 · Output $0.50 · Output/input ratio 1.0x. - 1M input + 1M output tokens: $1.00 - 10M input + 2M output tokens/month: $6.00 - 100M input + 20M output tokens/month: $60.00 ## Cheaper alternatives to llama-4-maverick Same workload, lower output price. Validate quality before switching. - gemini-3-flash — $0.40/1M output (20% cheaper) - phi-4 — $0.40/1M output (20% cheaper) - deepseek-v3 — $0.30/1M output (40% cheaper) - qwen-3-plus — $0.30/1M output (40% cheaper) ## How much are you wasting on llama-4-maverick? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does llama-4-maverick cost per million tokens? $0.50 per 1M input tokens and $0.50 per 1M output tokens, as listed on 2026-09-02. ### What does llama-4-maverick cost per month at typical usage? At 10M input and 2M output tokens per month, llama-4-maverick costs about $6.00. At 100M input and 20M output tokens it costs about $60.00. ### Is there a cheaper alternative to llama-4-maverick? Yes. gemini-3-flash at $0.40/1M output, phi-4 at $0.40/1M output, deepseek-v3 at $0.30/1M output, qwen-3-plus at $0.30/1M output. Validate quality on your own evaluation set before switching. ### How fast is llama-4-maverick? Roughly 280 ms to first token and about 55 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gemini-3-flash pricing](https://tokenomy.ai/models/gemini-3-flash) - [phi-4 pricing](https://tokenomy.ai/models/phi-4) - [deepseek-v3 pricing](https://tokenomy.ai/models/deepseek-v3) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # llama-4-scout pricing > llama-4-scout costs $0.20 per 1M input tokens and $0.20 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/llama-4-scout Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer llama-4-scout costs $0.20 per 1M input tokens and $0.20 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $2.40. The cheapest comparable alternative is gemini-2.5-flash-lite at $0.15 per 1M output tokens. llama-4-scout is priced at $0.20 per 1M input tokens and $0.20 per 1M output tokens, with roughly 180 ms to first token and about 70 tokens/sec output throughput. ## Price per 1M tokens Input $0.20 · Output $0.20 · Output/input ratio 1.0x. - 1M input + 1M output tokens: $0.40 - 10M input + 2M output tokens/month: $2.40 - 100M input + 20M output tokens/month: $24.00 ## Cheaper alternatives to llama-4-scout Same workload, lower output price. Validate quality before switching. - gemini-2.5-flash-lite — $0.15/1M output (25% cheaper) ## How much are you wasting on llama-4-scout? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does llama-4-scout cost per million tokens? $0.20 per 1M input tokens and $0.20 per 1M output tokens, as listed on 2026-09-02. ### What does llama-4-scout cost per month at typical usage? At 10M input and 2M output tokens per month, llama-4-scout costs about $2.40. At 100M input and 20M output tokens it costs about $24.00. ### Is there a cheaper alternative to llama-4-scout? Yes. gemini-2.5-flash-lite at $0.15/1M output. Validate quality on your own evaluation set before switching. ### How fast is llama-4-scout? Roughly 180 ms to first token and about 70 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gemini-2.5-flash-lite pricing](https://tokenomy.ai/models/gemini-2-5-flash-lite) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # llama-3.3-70b pricing > llama-3.3-70b costs $0.60 per 1M input tokens and $0.60 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/llama-3-3-70b Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer llama-3.3-70b costs $0.60 per 1M input tokens and $0.60 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $7.20. The cheapest comparable alternative is gemini-3-flash at $0.40 per 1M output tokens. llama-3.3-70b is priced at $0.60 per 1M input tokens and $0.60 per 1M output tokens, with roughly 350 ms to first token and about 45 tokens/sec output throughput. ## Price per 1M tokens Input $0.60 · Output $0.60 · Output/input ratio 1.0x. - 1M input + 1M output tokens: $1.20 - 10M input + 2M output tokens/month: $7.20 - 100M input + 20M output tokens/month: $72.00 ## Cheaper alternatives to llama-3.3-70b Same workload, lower output price. Validate quality before switching. - gemini-3.5-flash — $0.50/1M output (17% cheaper) - llama-4-maverick — $0.50/1M output (17% cheaper) - grok-3-mini — $0.50/1M output (17% cheaper) - gemini-3-flash — $0.40/1M output (33% cheaper) ## How much are you wasting on llama-3.3-70b? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does llama-3.3-70b cost per million tokens? $0.60 per 1M input tokens and $0.60 per 1M output tokens, as listed on 2026-09-02. ### What does llama-3.3-70b cost per month at typical usage? At 10M input and 2M output tokens per month, llama-3.3-70b costs about $7.20. At 100M input and 20M output tokens it costs about $72.00. ### Is there a cheaper alternative to llama-3.3-70b? Yes. gemini-3.5-flash at $0.50/1M output, llama-4-maverick at $0.50/1M output, grok-3-mini at $0.50/1M output, gemini-3-flash at $0.40/1M output. Validate quality on your own evaluation set before switching. ### How fast is llama-3.3-70b? Roughly 350 ms to first token and about 45 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gemini-3.5-flash pricing](https://tokenomy.ai/models/gemini-3-5-flash) - [llama-4-maverick pricing](https://tokenomy.ai/models/llama-4-maverick) - [grok-3-mini pricing](https://tokenomy.ai/models/grok-3-mini) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # gemini-3-pro pricing > gemini-3-pro costs $1.00 per 1M input tokens and $8.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/gemini-3-pro Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer gemini-3-pro costs $1.00 per 1M input tokens and $8.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $26.00. The cheapest comparable alternative is claude-haiku-4.5 at $2.50 per 1M output tokens. gemini-3-pro is priced at $1.00 per 1M input tokens and $8.00 per 1M output tokens, with roughly 150 ms to first token and about 120 tokens/sec output throughput. ## Price per 1M tokens Input $1.00 · Output $8.00 · Output/input ratio 8.0x. - 1M input + 1M output tokens: $9.00 - 10M input + 2M output tokens/month: $26.00 - 100M input + 20M output tokens/month: $260.00 ## Cheaper alternatives to gemini-3-pro Same workload, lower output price. Validate quality before switching. - mistral-large-4 — $6.00/1M output (25% cheaper) - gpt-5-mini — $3.20/1M output (60% cheaper) - amazon-nova-pro — $3.20/1M output (60% cheaper) - claude-haiku-4.5 — $2.50/1M output (69% cheaper) ## How much are you wasting on gemini-3-pro? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does gemini-3-pro cost per million tokens? $1.00 per 1M input tokens and $8.00 per 1M output tokens, as listed on 2026-09-02. ### What does gemini-3-pro cost per month at typical usage? At 10M input and 2M output tokens per month, gemini-3-pro costs about $26.00. At 100M input and 20M output tokens it costs about $260.00. ### Is there a cheaper alternative to gemini-3-pro? Yes. mistral-large-4 at $6.00/1M output, gpt-5-mini at $3.20/1M output, amazon-nova-pro at $3.20/1M output, claude-haiku-4.5 at $2.50/1M output. Validate quality on your own evaluation set before switching. ### How fast is gemini-3-pro? Roughly 150 ms to first token and about 120 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [mistral-large-4 pricing](https://tokenomy.ai/models/mistral-large-4) - [gpt-5-mini pricing](https://tokenomy.ai/models/gpt-5-mini) - [amazon-nova-pro pricing](https://tokenomy.ai/models/amazon-nova-pro) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # gemini-3-flash pricing > gemini-3-flash costs $0.15 per 1M input tokens and $0.40 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/gemini-3-flash Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer gemini-3-flash costs $0.15 per 1M input tokens and $0.40 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $2.30. The cheapest comparable alternative is deepseek-v4 at $0.22 per 1M output tokens. gemini-3-flash is priced at $0.15 per 1M input tokens and $0.40 per 1M output tokens, with roughly 70 ms to first token and about 200 tokens/sec output throughput. ## Price per 1M tokens Input $0.15 · Output $0.40 · Output/input ratio 2.7x. - 1M input + 1M output tokens: $0.55 - 10M input + 2M output tokens/month: $2.30 - 100M input + 20M output tokens/month: $23.00 ## Cheaper alternatives to gemini-3-flash Same workload, lower output price. Validate quality before switching. - deepseek-v3 — $0.30/1M output (25% cheaper) - qwen-3-plus — $0.30/1M output (25% cheaper) - ernie-lite — $0.30/1M output (25% cheaper) - deepseek-v4 — $0.22/1M output (45% cheaper) ## How much are you wasting on gemini-3-flash? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does gemini-3-flash cost per million tokens? $0.15 per 1M input tokens and $0.40 per 1M output tokens, as listed on 2026-09-02. ### What does gemini-3-flash cost per month at typical usage? At 10M input and 2M output tokens per month, gemini-3-flash costs about $2.30. At 100M input and 20M output tokens it costs about $23.00. ### Is there a cheaper alternative to gemini-3-flash? Yes. deepseek-v3 at $0.30/1M output, qwen-3-plus at $0.30/1M output, ernie-lite at $0.30/1M output, deepseek-v4 at $0.22/1M output. Validate quality on your own evaluation set before switching. ### How fast is gemini-3-flash? Roughly 70 ms to first token and about 200 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [deepseek-v3 pricing](https://tokenomy.ai/models/deepseek-v3) - [qwen-3-plus pricing](https://tokenomy.ai/models/qwen-3-plus) - [ernie-lite pricing](https://tokenomy.ai/models/ernie-lite) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # gemini-2.5-pro pricing > gemini-2.5-pro costs $1.25 per 1M input tokens and $10.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/gemini-2-5-pro Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer gemini-2.5-pro costs $1.25 per 1M input tokens and $10.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $32.50. The cheapest comparable alternative is o4-mini at $8.00 per 1M output tokens. gemini-2.5-pro is priced at $1.25 per 1M input tokens and $10.00 per 1M output tokens, with roughly 200 ms to first token and about 90 tokens/sec output throughput. ## Price per 1M tokens Input $1.25 · Output $10.00 · Output/input ratio 8.0x. - 1M input + 1M output tokens: $11.25 - 10M input + 2M output tokens/month: $32.50 - 100M input + 20M output tokens/month: $325.00 ## Cheaper alternatives to gemini-2.5-pro Same workload, lower output price. Validate quality before switching. - llama-4.1-405b — $8.00/1M output (20% cheaper) - gpt-5.2 — $8.00/1M output (20% cheaper) - gpt-4.1 — $8.00/1M output (20% cheaper) - o4-mini — $8.00/1M output (20% cheaper) ## How much are you wasting on gemini-2.5-pro? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does gemini-2.5-pro cost per million tokens? $1.25 per 1M input tokens and $10.00 per 1M output tokens, as listed on 2026-09-02. ### What does gemini-2.5-pro cost per month at typical usage? At 10M input and 2M output tokens per month, gemini-2.5-pro costs about $32.50. At 100M input and 20M output tokens it costs about $325.00. ### Is there a cheaper alternative to gemini-2.5-pro? Yes. llama-4.1-405b at $8.00/1M output, gpt-5.2 at $8.00/1M output, gpt-4.1 at $8.00/1M output, o4-mini at $8.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is gemini-2.5-pro? Roughly 200 ms to first token and about 90 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [llama-4.1-405b pricing](https://tokenomy.ai/models/llama-4-1-405b) - [gpt-5.2 pricing](https://tokenomy.ai/models/gpt-5-2) - [gpt-4.1 pricing](https://tokenomy.ai/models/gpt-4-1) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # gemini-2.5-flash pricing > gemini-2.5-flash costs $0.20 per 1M input tokens and $0.60 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/gemini-2-5-flash Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer gemini-2.5-flash costs $0.20 per 1M input tokens and $0.60 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $3.20. The cheapest comparable alternative is gemini-3-flash at $0.40 per 1M output tokens. gemini-2.5-flash is priced at $0.20 per 1M input tokens and $0.60 per 1M output tokens, with roughly 100 ms to first token and about 150 tokens/sec output throughput. ## Price per 1M tokens Input $0.20 · Output $0.60 · Output/input ratio 3.0x. - 1M input + 1M output tokens: $0.80 - 10M input + 2M output tokens/month: $3.20 - 100M input + 20M output tokens/month: $32.00 ## Cheaper alternatives to gemini-2.5-flash Same workload, lower output price. Validate quality before switching. - gemini-3.5-flash — $0.50/1M output (17% cheaper) - llama-4-maverick — $0.50/1M output (17% cheaper) - grok-3-mini — $0.50/1M output (17% cheaper) - gemini-3-flash — $0.40/1M output (33% cheaper) ## How much are you wasting on gemini-2.5-flash? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does gemini-2.5-flash cost per million tokens? $0.20 per 1M input tokens and $0.60 per 1M output tokens, as listed on 2026-09-02. ### What does gemini-2.5-flash cost per month at typical usage? At 10M input and 2M output tokens per month, gemini-2.5-flash costs about $3.20. At 100M input and 20M output tokens it costs about $32.00. ### Is there a cheaper alternative to gemini-2.5-flash? Yes. gemini-3.5-flash at $0.50/1M output, llama-4-maverick at $0.50/1M output, grok-3-mini at $0.50/1M output, gemini-3-flash at $0.40/1M output. Validate quality on your own evaluation set before switching. ### How fast is gemini-2.5-flash? Roughly 100 ms to first token and about 150 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gemini-3.5-flash pricing](https://tokenomy.ai/models/gemini-3-5-flash) - [llama-4-maverick pricing](https://tokenomy.ai/models/llama-4-maverick) - [grok-3-mini pricing](https://tokenomy.ai/models/grok-3-mini) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # gemini-2.5-flash-lite pricing > gemini-2.5-flash-lite costs $0.05 per 1M input tokens and $0.15 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/gemini-2-5-flash-lite Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer gemini-2.5-flash-lite costs $0.05 per 1M input tokens and $0.15 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $0.80. gemini-2.5-flash-lite is priced at $0.05 per 1M input tokens and $0.15 per 1M output tokens, with roughly 80 ms to first token and about 180 tokens/sec output throughput. ## Price per 1M tokens Input $0.05 · Output $0.15 · Output/input ratio 3.0x. - 1M input + 1M output tokens: $0.20 - 10M input + 2M output tokens/month: $0.80 - 100M input + 20M output tokens/month: $8.00 ## How much are you wasting on gemini-2.5-flash-lite? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does gemini-2.5-flash-lite cost per million tokens? $0.05 per 1M input tokens and $0.15 per 1M output tokens, as listed on 2026-09-02. ### What does gemini-2.5-flash-lite cost per month at typical usage? At 10M input and 2M output tokens per month, gemini-2.5-flash-lite costs about $0.80. At 100M input and 20M output tokens it costs about $8.00. ### How fast is gemini-2.5-flash-lite? Roughly 80 ms to first token and about 180 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # azure-gpt-5.2 pricing > azure-gpt-5.2 costs $2.00 per 1M input tokens and $8.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/azure-gpt-5-2 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer azure-gpt-5.2 costs $2.00 per 1M input tokens and $8.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $36.00. The cheapest comparable alternative is claude-haiku-4.5 at $2.50 per 1M output tokens. azure-gpt-5.2 is priced at $2.00 per 1M input tokens and $8.00 per 1M output tokens, with roughly 210 ms to first token and about 210 tokens/sec output throughput. ## Price per 1M tokens Input $2.00 · Output $8.00 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $10.00 - 10M input + 2M output tokens/month: $36.00 - 100M input + 20M output tokens/month: $360.00 ## Cheaper alternatives to azure-gpt-5.2 Same workload, lower output price. Validate quality before switching. - mistral-large-4 — $6.00/1M output (25% cheaper) - gpt-5-mini — $3.20/1M output (60% cheaper) - amazon-nova-pro — $3.20/1M output (60% cheaper) - claude-haiku-4.5 — $2.50/1M output (69% cheaper) ## How much are you wasting on azure-gpt-5.2? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does azure-gpt-5.2 cost per million tokens? $2.00 per 1M input tokens and $8.00 per 1M output tokens, as listed on 2026-09-02. ### What does azure-gpt-5.2 cost per month at typical usage? At 10M input and 2M output tokens per month, azure-gpt-5.2 costs about $36.00. At 100M input and 20M output tokens it costs about $360.00. ### Is there a cheaper alternative to azure-gpt-5.2? Yes. mistral-large-4 at $6.00/1M output, gpt-5-mini at $3.20/1M output, amazon-nova-pro at $3.20/1M output, claude-haiku-4.5 at $2.50/1M output. Validate quality on your own evaluation set before switching. ### How fast is azure-gpt-5.2? Roughly 210 ms to first token and about 210 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [mistral-large-4 pricing](https://tokenomy.ai/models/mistral-large-4) - [gpt-5-mini pricing](https://tokenomy.ai/models/gpt-5-mini) - [amazon-nova-pro pricing](https://tokenomy.ai/models/amazon-nova-pro) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # azure-gpt-5 pricing > azure-gpt-5 costs $3.00 per 1M input tokens and $12.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/azure-gpt-5 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer azure-gpt-5 costs $3.00 per 1M input tokens and $12.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $54.00. The cheapest comparable alternative is gpt-4.1 at $8.00 per 1M output tokens. azure-gpt-5 is priced at $3.00 per 1M input tokens and $12.00 per 1M output tokens, with roughly 260 ms to first token and about 170 tokens/sec output throughput. ## Price per 1M tokens Input $3.00 · Output $12.00 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $15.00 - 10M input + 2M output tokens/month: $54.00 - 100M input + 20M output tokens/month: $540.00 ## Cheaper alternatives to azure-gpt-5 Same workload, lower output price. Validate quality before switching. - gemini-2.5-pro — $10.00/1M output (17% cheaper) - llama-4.1-405b — $8.00/1M output (33% cheaper) - gpt-5.2 — $8.00/1M output (33% cheaper) - gpt-4.1 — $8.00/1M output (33% cheaper) ## How much are you wasting on azure-gpt-5? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does azure-gpt-5 cost per million tokens? $3.00 per 1M input tokens and $12.00 per 1M output tokens, as listed on 2026-09-02. ### What does azure-gpt-5 cost per month at typical usage? At 10M input and 2M output tokens per month, azure-gpt-5 costs about $54.00. At 100M input and 20M output tokens it costs about $540.00. ### Is there a cheaper alternative to azure-gpt-5? Yes. gemini-2.5-pro at $10.00/1M output, llama-4.1-405b at $8.00/1M output, gpt-5.2 at $8.00/1M output, gpt-4.1 at $8.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is azure-gpt-5? Roughly 260 ms to first token and about 170 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gemini-2.5-pro pricing](https://tokenomy.ai/models/gemini-2-5-pro) - [llama-4.1-405b pricing](https://tokenomy.ai/models/llama-4-1-405b) - [gpt-5.2 pricing](https://tokenomy.ai/models/gpt-5-2) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # phi-4 pricing > phi-4 costs $0.20 per 1M input tokens and $0.40 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/phi-4 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer phi-4 costs $0.20 per 1M input tokens and $0.40 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $2.80. The cheapest comparable alternative is deepseek-v4 at $0.22 per 1M output tokens. phi-4 is priced at $0.20 per 1M input tokens and $0.40 per 1M output tokens, with roughly 100 ms to first token and about 110 tokens/sec output throughput. ## Price per 1M tokens Input $0.20 · Output $0.40 · Output/input ratio 2.0x. - 1M input + 1M output tokens: $0.60 - 10M input + 2M output tokens/month: $2.80 - 100M input + 20M output tokens/month: $28.00 ## Cheaper alternatives to phi-4 Same workload, lower output price. Validate quality before switching. - deepseek-v3 — $0.30/1M output (25% cheaper) - qwen-3-plus — $0.30/1M output (25% cheaper) - ernie-lite — $0.30/1M output (25% cheaper) - deepseek-v4 — $0.22/1M output (45% cheaper) ## How much are you wasting on phi-4? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does phi-4 cost per million tokens? $0.20 per 1M input tokens and $0.40 per 1M output tokens, as listed on 2026-09-02. ### What does phi-4 cost per month at typical usage? At 10M input and 2M output tokens per month, phi-4 costs about $2.80. At 100M input and 20M output tokens it costs about $28.00. ### Is there a cheaper alternative to phi-4? Yes. deepseek-v3 at $0.30/1M output, qwen-3-plus at $0.30/1M output, ernie-lite at $0.30/1M output, deepseek-v4 at $0.22/1M output. Validate quality on your own evaluation set before switching. ### How fast is phi-4? Roughly 100 ms to first token and about 110 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [deepseek-v3 pricing](https://tokenomy.ai/models/deepseek-v3) - [qwen-3-plus pricing](https://tokenomy.ai/models/qwen-3-plus) - [ernie-lite pricing](https://tokenomy.ai/models/ernie-lite) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # phi-4-mini pricing > phi-4-mini costs $0.10 per 1M input tokens and $0.20 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/phi-4-mini Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer phi-4-mini costs $0.10 per 1M input tokens and $0.20 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $1.40. The cheapest comparable alternative is gemini-2.5-flash-lite at $0.15 per 1M output tokens. phi-4-mini is priced at $0.10 per 1M input tokens and $0.20 per 1M output tokens, with roughly 80 ms to first token and about 150 tokens/sec output throughput. ## Price per 1M tokens Input $0.10 · Output $0.20 · Output/input ratio 2.0x. - 1M input + 1M output tokens: $0.30 - 10M input + 2M output tokens/month: $1.40 - 100M input + 20M output tokens/month: $14.00 ## Cheaper alternatives to phi-4-mini Same workload, lower output price. Validate quality before switching. - gemini-2.5-flash-lite — $0.15/1M output (25% cheaper) ## How much are you wasting on phi-4-mini? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does phi-4-mini cost per million tokens? $0.10 per 1M input tokens and $0.20 per 1M output tokens, as listed on 2026-09-02. ### What does phi-4-mini cost per month at typical usage? At 10M input and 2M output tokens per month, phi-4-mini costs about $1.40. At 100M input and 20M output tokens it costs about $14.00. ### Is there a cheaper alternative to phi-4-mini? Yes. gemini-2.5-flash-lite at $0.15/1M output. Validate quality on your own evaluation set before switching. ### How fast is phi-4-mini? Roughly 80 ms to first token and about 150 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gemini-2.5-flash-lite pricing](https://tokenomy.ai/models/gemini-2-5-flash-lite) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # amazon-nova-pro pricing > amazon-nova-pro costs $0.80 per 1M input tokens and $3.20 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/amazon-nova-pro Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer amazon-nova-pro costs $0.80 per 1M input tokens and $3.20 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $14.40. The cheapest comparable alternative is mistral-medium-3 at $2.00 per 1M output tokens. amazon-nova-pro is priced at $0.80 per 1M input tokens and $3.20 per 1M output tokens, with roughly 200 ms to first token and about 90 tokens/sec output throughput. ## Price per 1M tokens Input $0.80 · Output $3.20 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $4.00 - 10M input + 2M output tokens/month: $14.40 - 100M input + 20M output tokens/month: $144.00 ## Cheaper alternatives to amazon-nova-pro Same workload, lower output price. Validate quality before switching. - claude-haiku-4.5 — $2.50/1M output (22% cheaper) - deepseek-r2 — $2.20/1M output (31% cheaper) - gpt-4.1-mini — $2.00/1M output (38% cheaper) - mistral-medium-3 — $2.00/1M output (38% cheaper) ## How much are you wasting on amazon-nova-pro? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does amazon-nova-pro cost per million tokens? $0.80 per 1M input tokens and $3.20 per 1M output tokens, as listed on 2026-09-02. ### What does amazon-nova-pro cost per month at typical usage? At 10M input and 2M output tokens per month, amazon-nova-pro costs about $14.40. At 100M input and 20M output tokens it costs about $144.00. ### Is there a cheaper alternative to amazon-nova-pro? Yes. claude-haiku-4.5 at $2.50/1M output, deepseek-r2 at $2.20/1M output, gpt-4.1-mini at $2.00/1M output, mistral-medium-3 at $2.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is amazon-nova-pro? Roughly 200 ms to first token and about 90 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [claude-haiku-4.5 pricing](https://tokenomy.ai/models/claude-haiku-4-5) - [deepseek-r2 pricing](https://tokenomy.ai/models/deepseek-r2) - [gpt-4.1-mini pricing](https://tokenomy.ai/models/gpt-4-1-mini) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # amazon-nova-lite pricing > amazon-nova-lite costs $0.20 per 1M input tokens and $0.80 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/amazon-nova-lite Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer amazon-nova-lite costs $0.20 per 1M input tokens and $0.80 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $3.60. The cheapest comparable alternative is qwen-3-max at $0.60 per 1M output tokens. amazon-nova-lite is priced at $0.20 per 1M input tokens and $0.80 per 1M output tokens, with roughly 140 ms to first token and about 120 tokens/sec output throughput. ## Price per 1M tokens Input $0.20 · Output $0.80 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $1.00 - 10M input + 2M output tokens/month: $3.60 - 100M input + 20M output tokens/month: $36.00 ## Cheaper alternatives to amazon-nova-lite Same workload, lower output price. Validate quality before switching. - llama-3.3-70b — $0.60/1M output (25% cheaper) - gemini-2.5-flash — $0.60/1M output (25% cheaper) - titan-text-express — $0.60/1M output (25% cheaper) - qwen-3-max — $0.60/1M output (25% cheaper) ## How much are you wasting on amazon-nova-lite? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does amazon-nova-lite cost per million tokens? $0.20 per 1M input tokens and $0.80 per 1M output tokens, as listed on 2026-09-02. ### What does amazon-nova-lite cost per month at typical usage? At 10M input and 2M output tokens per month, amazon-nova-lite costs about $3.60. At 100M input and 20M output tokens it costs about $36.00. ### Is there a cheaper alternative to amazon-nova-lite? Yes. llama-3.3-70b at $0.60/1M output, gemini-2.5-flash at $0.60/1M output, titan-text-express at $0.60/1M output, qwen-3-max at $0.60/1M output. Validate quality on your own evaluation set before switching. ### How fast is amazon-nova-lite? Roughly 140 ms to first token and about 120 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [llama-3.3-70b pricing](https://tokenomy.ai/models/llama-3-3-70b) - [gemini-2.5-flash pricing](https://tokenomy.ai/models/gemini-2-5-flash) - [titan-text-express pricing](https://tokenomy.ai/models/titan-text-express) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # titan-text-express pricing > titan-text-express costs $0.20 per 1M input tokens and $0.60 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/titan-text-express Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer titan-text-express costs $0.20 per 1M input tokens and $0.60 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $3.20. The cheapest comparable alternative is gemini-3-flash at $0.40 per 1M output tokens. titan-text-express is priced at $0.20 per 1M input tokens and $0.60 per 1M output tokens, with roughly 250 ms to first token and about 35 tokens/sec output throughput. ## Price per 1M tokens Input $0.20 · Output $0.60 · Output/input ratio 3.0x. - 1M input + 1M output tokens: $0.80 - 10M input + 2M output tokens/month: $3.20 - 100M input + 20M output tokens/month: $32.00 ## Cheaper alternatives to titan-text-express Same workload, lower output price. Validate quality before switching. - gemini-3.5-flash — $0.50/1M output (17% cheaper) - llama-4-maverick — $0.50/1M output (17% cheaper) - grok-3-mini — $0.50/1M output (17% cheaper) - gemini-3-flash — $0.40/1M output (33% cheaper) ## How much are you wasting on titan-text-express? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does titan-text-express cost per million tokens? $0.20 per 1M input tokens and $0.60 per 1M output tokens, as listed on 2026-09-02. ### What does titan-text-express cost per month at typical usage? At 10M input and 2M output tokens per month, titan-text-express costs about $3.20. At 100M input and 20M output tokens it costs about $32.00. ### Is there a cheaper alternative to titan-text-express? Yes. gemini-3.5-flash at $0.50/1M output, llama-4-maverick at $0.50/1M output, grok-3-mini at $0.50/1M output, gemini-3-flash at $0.40/1M output. Validate quality on your own evaluation set before switching. ### How fast is titan-text-express? Roughly 250 ms to first token and about 35 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gemini-3.5-flash pricing](https://tokenomy.ai/models/gemini-3-5-flash) - [llama-4-maverick pricing](https://tokenomy.ai/models/llama-4-maverick) - [grok-3-mini pricing](https://tokenomy.ai/models/grok-3-mini) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # mistral-large-4 pricing > mistral-large-4 costs $2.00 per 1M input tokens and $6.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/mistral-large-4 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer mistral-large-4 costs $2.00 per 1M input tokens and $6.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $32.00. The cheapest comparable alternative is deepseek-r2 at $2.20 per 1M output tokens. mistral-large-4 is priced at $2.00 per 1M input tokens and $6.00 per 1M output tokens, with roughly 240 ms to first token and about 80 tokens/sec output throughput. ## Price per 1M tokens Input $2.00 · Output $6.00 · Output/input ratio 3.0x. - 1M input + 1M output tokens: $8.00 - 10M input + 2M output tokens/month: $32.00 - 100M input + 20M output tokens/month: $320.00 ## Cheaper alternatives to mistral-large-4 Same workload, lower output price. Validate quality before switching. - gpt-5-mini — $3.20/1M output (47% cheaper) - amazon-nova-pro — $3.20/1M output (47% cheaper) - claude-haiku-4.5 — $2.50/1M output (58% cheaper) - deepseek-r2 — $2.20/1M output (63% cheaper) ## How much are you wasting on mistral-large-4? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does mistral-large-4 cost per million tokens? $2.00 per 1M input tokens and $6.00 per 1M output tokens, as listed on 2026-09-02. ### What does mistral-large-4 cost per month at typical usage? At 10M input and 2M output tokens per month, mistral-large-4 costs about $32.00. At 100M input and 20M output tokens it costs about $320.00. ### Is there a cheaper alternative to mistral-large-4? Yes. gpt-5-mini at $3.20/1M output, amazon-nova-pro at $3.20/1M output, claude-haiku-4.5 at $2.50/1M output, deepseek-r2 at $2.20/1M output. Validate quality on your own evaluation set before switching. ### How fast is mistral-large-4? Roughly 240 ms to first token and about 80 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gpt-5-mini pricing](https://tokenomy.ai/models/gpt-5-mini) - [amazon-nova-pro pricing](https://tokenomy.ai/models/amazon-nova-pro) - [claude-haiku-4.5 pricing](https://tokenomy.ai/models/claude-haiku-4-5) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # mistral-medium-3 pricing > mistral-medium-3 costs $0.40 per 1M input tokens and $2.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/mistral-medium-3 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer mistral-medium-3 costs $0.40 per 1M input tokens and $2.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $8.00. The cheapest comparable alternative is gpt-5-nano at $1.20 per 1M output tokens. mistral-medium-3 is priced at $0.40 per 1M input tokens and $2.00 per 1M output tokens, with roughly 200 ms to first token and about 85 tokens/sec output throughput. ## Price per 1M tokens Input $0.40 · Output $2.00 · Output/input ratio 5.0x. - 1M input + 1M output tokens: $2.40 - 10M input + 2M output tokens/month: $8.00 - 100M input + 20M output tokens/month: $80.00 ## Cheaper alternatives to mistral-medium-3 Same workload, lower output price. Validate quality before switching. - gpt-4o-mini — $1.50/1M output (25% cheaper) - glm-5.2 — $1.40/1M output (30% cheaper) - claude-3-haiku — $1.25/1M output (38% cheaper) - gpt-5-nano — $1.20/1M output (40% cheaper) ## How much are you wasting on mistral-medium-3? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does mistral-medium-3 cost per million tokens? $0.40 per 1M input tokens and $2.00 per 1M output tokens, as listed on 2026-09-02. ### What does mistral-medium-3 cost per month at typical usage? At 10M input and 2M output tokens per month, mistral-medium-3 costs about $8.00. At 100M input and 20M output tokens it costs about $80.00. ### Is there a cheaper alternative to mistral-medium-3? Yes. gpt-4o-mini at $1.50/1M output, glm-5.2 at $1.40/1M output, claude-3-haiku at $1.25/1M output, gpt-5-nano at $1.20/1M output. Validate quality on your own evaluation set before switching. ### How fast is mistral-medium-3? Roughly 200 ms to first token and about 85 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gpt-4o-mini pricing](https://tokenomy.ai/models/gpt-4o-mini) - [glm-5.2 pricing](https://tokenomy.ai/models/glm-5-2) - [claude-3-haiku pricing](https://tokenomy.ai/models/claude-3-haiku) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # mistral-small-3 pricing > mistral-small-3 costs $0.20 per 1M input tokens and $0.80 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/mistral-small-3 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer mistral-small-3 costs $0.20 per 1M input tokens and $0.80 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $3.60. The cheapest comparable alternative is qwen-3-max at $0.60 per 1M output tokens. mistral-small-3 is priced at $0.20 per 1M input tokens and $0.80 per 1M output tokens, with roughly 140 ms to first token and about 95 tokens/sec output throughput. ## Price per 1M tokens Input $0.20 · Output $0.80 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $1.00 - 10M input + 2M output tokens/month: $3.60 - 100M input + 20M output tokens/month: $36.00 ## Cheaper alternatives to mistral-small-3 Same workload, lower output price. Validate quality before switching. - llama-3.3-70b — $0.60/1M output (25% cheaper) - gemini-2.5-flash — $0.60/1M output (25% cheaper) - titan-text-express — $0.60/1M output (25% cheaper) - qwen-3-max — $0.60/1M output (25% cheaper) ## How much are you wasting on mistral-small-3? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does mistral-small-3 cost per million tokens? $0.20 per 1M input tokens and $0.80 per 1M output tokens, as listed on 2026-09-02. ### What does mistral-small-3 cost per month at typical usage? At 10M input and 2M output tokens per month, mistral-small-3 costs about $3.60. At 100M input and 20M output tokens it costs about $36.00. ### Is there a cheaper alternative to mistral-small-3? Yes. llama-3.3-70b at $0.60/1M output, gemini-2.5-flash at $0.60/1M output, titan-text-express at $0.60/1M output, qwen-3-max at $0.60/1M output. Validate quality on your own evaluation set before switching. ### How fast is mistral-small-3? Roughly 140 ms to first token and about 95 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [llama-3.3-70b pricing](https://tokenomy.ai/models/llama-3-3-70b) - [gemini-2.5-flash pricing](https://tokenomy.ai/models/gemini-2-5-flash) - [titan-text-express pricing](https://tokenomy.ai/models/titan-text-express) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # grok-3 pricing > grok-3 costs $3.00 per 1M input tokens and $15.00 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/grok-3 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer grok-3 costs $3.00 per 1M input tokens and $15.00 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $60.00. The cheapest comparable alternative is azure-gpt-5 at $12.00 per 1M output tokens. grok-3 is priced at $3.00 per 1M input tokens and $15.00 per 1M output tokens, with roughly 200 ms to first token and about 70 tokens/sec output throughput. ## Price per 1M tokens Input $3.00 · Output $15.00 · Output/input ratio 5.0x. - 1M input + 1M output tokens: $18.00 - 10M input + 2M output tokens/month: $60.00 - 100M input + 20M output tokens/month: $600.00 ## Cheaper alternatives to grok-3 Same workload, lower output price. Validate quality before switching. - grok-4 — $14.00/1M output (7% cheaper) - gemini-3.5-pro — $12.00/1M output (20% cheaper) - gpt-5 — $12.00/1M output (20% cheaper) - azure-gpt-5 — $12.00/1M output (20% cheaper) ## How much are you wasting on grok-3? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does grok-3 cost per million tokens? $3.00 per 1M input tokens and $15.00 per 1M output tokens, as listed on 2026-09-02. ### What does grok-3 cost per month at typical usage? At 10M input and 2M output tokens per month, grok-3 costs about $60.00. At 100M input and 20M output tokens it costs about $600.00. ### Is there a cheaper alternative to grok-3? Yes. grok-4 at $14.00/1M output, gemini-3.5-pro at $12.00/1M output, gpt-5 at $12.00/1M output, azure-gpt-5 at $12.00/1M output. Validate quality on your own evaluation set before switching. ### How fast is grok-3? Roughly 200 ms to first token and about 70 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [grok-4 pricing](https://tokenomy.ai/models/grok-4) - [gemini-3.5-pro pricing](https://tokenomy.ai/models/gemini-3-5-pro) - [gpt-5 pricing](https://tokenomy.ai/models/gpt-5) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # grok-3-mini pricing > grok-3-mini costs $0.30 per 1M input tokens and $0.50 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/grok-3-mini Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer grok-3-mini costs $0.30 per 1M input tokens and $0.50 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $4.00. The cheapest comparable alternative is qwen-3-plus at $0.30 per 1M output tokens. grok-3-mini is priced at $0.30 per 1M input tokens and $0.50 per 1M output tokens, with roughly 120 ms to first token and about 110 tokens/sec output throughput. ## Price per 1M tokens Input $0.30 · Output $0.50 · Output/input ratio 1.7x. - 1M input + 1M output tokens: $0.80 - 10M input + 2M output tokens/month: $4.00 - 100M input + 20M output tokens/month: $40.00 ## Cheaper alternatives to grok-3-mini Same workload, lower output price. Validate quality before switching. - gemini-3-flash — $0.40/1M output (20% cheaper) - phi-4 — $0.40/1M output (20% cheaper) - deepseek-v3 — $0.30/1M output (40% cheaper) - qwen-3-plus — $0.30/1M output (40% cheaper) ## How much are you wasting on grok-3-mini? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does grok-3-mini cost per million tokens? $0.30 per 1M input tokens and $0.50 per 1M output tokens, as listed on 2026-09-02. ### What does grok-3-mini cost per month at typical usage? At 10M input and 2M output tokens per month, grok-3-mini costs about $4.00. At 100M input and 20M output tokens it costs about $40.00. ### Is there a cheaper alternative to grok-3-mini? Yes. gemini-3-flash at $0.40/1M output, phi-4 at $0.40/1M output, deepseek-v3 at $0.30/1M output, qwen-3-plus at $0.30/1M output. Validate quality on your own evaluation set before switching. ### How fast is grok-3-mini? Roughly 120 ms to first token and about 110 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gemini-3-flash pricing](https://tokenomy.ai/models/gemini-3-flash) - [phi-4 pricing](https://tokenomy.ai/models/phi-4) - [deepseek-v3 pricing](https://tokenomy.ai/models/deepseek-v3) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # deepseek-v4 pricing > deepseek-v4 costs $0.11 per 1M input tokens and $0.22 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/deepseek-v4 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer deepseek-v4 costs $0.11 per 1M input tokens and $0.22 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $1.54. The cheapest comparable alternative is gemini-2.5-flash-lite at $0.15 per 1M output tokens. deepseek-v4 is priced at $0.11 per 1M input tokens and $0.22 per 1M output tokens, with roughly 180 ms to first token and about 80 tokens/sec output throughput. ## Price per 1M tokens Input $0.11 · Output $0.22 · Output/input ratio 2.0x. - 1M input + 1M output tokens: $0.33 - 10M input + 2M output tokens/month: $1.54 - 100M input + 20M output tokens/month: $15.40 ## Cheaper alternatives to deepseek-v4 Same workload, lower output price. Validate quality before switching. - llama-4-scout — $0.20/1M output (9% cheaper) - phi-4-mini — $0.20/1M output (9% cheaper) - gemini-2.5-flash-lite — $0.15/1M output (32% cheaper) ## How much are you wasting on deepseek-v4? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does deepseek-v4 cost per million tokens? $0.11 per 1M input tokens and $0.22 per 1M output tokens, as listed on 2026-09-02. ### What does deepseek-v4 cost per month at typical usage? At 10M input and 2M output tokens per month, deepseek-v4 costs about $1.54. At 100M input and 20M output tokens it costs about $15.40. ### Is there a cheaper alternative to deepseek-v4? Yes. llama-4-scout at $0.20/1M output, phi-4-mini at $0.20/1M output, gemini-2.5-flash-lite at $0.15/1M output. Validate quality on your own evaluation set before switching. ### How fast is deepseek-v4? Roughly 180 ms to first token and about 80 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [llama-4-scout pricing](https://tokenomy.ai/models/llama-4-scout) - [phi-4-mini pricing](https://tokenomy.ai/models/phi-4-mini) - [gemini-2.5-flash-lite pricing](https://tokenomy.ai/models/gemini-2-5-flash-lite) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # deepseek-r2 pricing > deepseek-r2 costs $0.55 per 1M input tokens and $2.20 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/deepseek-r2 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer deepseek-r2 costs $0.55 per 1M input tokens and $2.20 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $9.90. The cheapest comparable alternative is glm-5.2 at $1.40 per 1M output tokens. deepseek-r2 is priced at $0.55 per 1M input tokens and $2.20 per 1M output tokens, with roughly 300 ms to first token and about 45 tokens/sec output throughput. ## Price per 1M tokens Input $0.55 · Output $2.20 · Output/input ratio 4.0x. - 1M input + 1M output tokens: $2.75 - 10M input + 2M output tokens/month: $9.90 - 100M input + 20M output tokens/month: $99.00 ## Cheaper alternatives to deepseek-r2 Same workload, lower output price. Validate quality before switching. - gpt-4.1-mini — $2.00/1M output (9% cheaper) - mistral-medium-3 — $2.00/1M output (9% cheaper) - gpt-4o-mini — $1.50/1M output (32% cheaper) - glm-5.2 — $1.40/1M output (36% cheaper) ## How much are you wasting on deepseek-r2? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does deepseek-r2 cost per million tokens? $0.55 per 1M input tokens and $2.20 per 1M output tokens, as listed on 2026-09-02. ### What does deepseek-r2 cost per month at typical usage? At 10M input and 2M output tokens per month, deepseek-r2 costs about $9.90. At 100M input and 20M output tokens it costs about $99.00. ### Is there a cheaper alternative to deepseek-r2? Yes. gpt-4.1-mini at $2.00/1M output, mistral-medium-3 at $2.00/1M output, gpt-4o-mini at $1.50/1M output, glm-5.2 at $1.40/1M output. Validate quality on your own evaluation set before switching. ### How fast is deepseek-r2? Roughly 300 ms to first token and about 45 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gpt-4.1-mini pricing](https://tokenomy.ai/models/gpt-4-1-mini) - [mistral-medium-3 pricing](https://tokenomy.ai/models/mistral-medium-3) - [gpt-4o-mini pricing](https://tokenomy.ai/models/gpt-4o-mini) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # deepseek-v3 pricing > deepseek-v3 costs $0.15 per 1M input tokens and $0.30 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/deepseek-v3 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer deepseek-v3 costs $0.15 per 1M input tokens and $0.30 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $2.10. The cheapest comparable alternative is gemini-2.5-flash-lite at $0.15 per 1M output tokens. deepseek-v3 is priced at $0.15 per 1M input tokens and $0.30 per 1M output tokens, with roughly 220 ms to first token and about 60 tokens/sec output throughput. ## Price per 1M tokens Input $0.15 · Output $0.30 · Output/input ratio 2.0x. - 1M input + 1M output tokens: $0.45 - 10M input + 2M output tokens/month: $2.10 - 100M input + 20M output tokens/month: $21.00 ## Cheaper alternatives to deepseek-v3 Same workload, lower output price. Validate quality before switching. - deepseek-v4 — $0.22/1M output (27% cheaper) - llama-4-scout — $0.20/1M output (33% cheaper) - phi-4-mini — $0.20/1M output (33% cheaper) - gemini-2.5-flash-lite — $0.15/1M output (50% cheaper) ## How much are you wasting on deepseek-v3? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does deepseek-v3 cost per million tokens? $0.15 per 1M input tokens and $0.30 per 1M output tokens, as listed on 2026-09-02. ### What does deepseek-v3 cost per month at typical usage? At 10M input and 2M output tokens per month, deepseek-v3 costs about $2.10. At 100M input and 20M output tokens it costs about $21.00. ### Is there a cheaper alternative to deepseek-v3? Yes. deepseek-v4 at $0.22/1M output, llama-4-scout at $0.20/1M output, phi-4-mini at $0.20/1M output, gemini-2.5-flash-lite at $0.15/1M output. Validate quality on your own evaluation set before switching. ### How fast is deepseek-v3? Roughly 220 ms to first token and about 60 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [deepseek-v4 pricing](https://tokenomy.ai/models/deepseek-v4) - [llama-4-scout pricing](https://tokenomy.ai/models/llama-4-scout) - [phi-4-mini pricing](https://tokenomy.ai/models/phi-4-mini) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # qwen-3-max pricing > qwen-3-max costs $0.20 per 1M input tokens and $0.60 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/qwen-3-max Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer qwen-3-max costs $0.20 per 1M input tokens and $0.60 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $3.20. The cheapest comparable alternative is gemini-3-flash at $0.40 per 1M output tokens. qwen-3-max is priced at $0.20 per 1M input tokens and $0.60 per 1M output tokens, with roughly 350 ms to first token and about 35 tokens/sec output throughput. ## Price per 1M tokens Input $0.20 · Output $0.60 · Output/input ratio 3.0x. - 1M input + 1M output tokens: $0.80 - 10M input + 2M output tokens/month: $3.20 - 100M input + 20M output tokens/month: $32.00 ## Cheaper alternatives to qwen-3-max Same workload, lower output price. Validate quality before switching. - gemini-3.5-flash — $0.50/1M output (17% cheaper) - llama-4-maverick — $0.50/1M output (17% cheaper) - grok-3-mini — $0.50/1M output (17% cheaper) - gemini-3-flash — $0.40/1M output (33% cheaper) ## How much are you wasting on qwen-3-max? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does qwen-3-max cost per million tokens? $0.20 per 1M input tokens and $0.60 per 1M output tokens, as listed on 2026-09-02. ### What does qwen-3-max cost per month at typical usage? At 10M input and 2M output tokens per month, qwen-3-max costs about $3.20. At 100M input and 20M output tokens it costs about $32.00. ### Is there a cheaper alternative to qwen-3-max? Yes. gemini-3.5-flash at $0.50/1M output, llama-4-maverick at $0.50/1M output, grok-3-mini at $0.50/1M output, gemini-3-flash at $0.40/1M output. Validate quality on your own evaluation set before switching. ### How fast is qwen-3-max? Roughly 350 ms to first token and about 35 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gemini-3.5-flash pricing](https://tokenomy.ai/models/gemini-3-5-flash) - [llama-4-maverick pricing](https://tokenomy.ai/models/llama-4-maverick) - [grok-3-mini pricing](https://tokenomy.ai/models/grok-3-mini) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # qwen-3-plus pricing > qwen-3-plus costs $0.10 per 1M input tokens and $0.30 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/qwen-3-plus Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer qwen-3-plus costs $0.10 per 1M input tokens and $0.30 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $1.60. The cheapest comparable alternative is gemini-2.5-flash-lite at $0.15 per 1M output tokens. qwen-3-plus is priced at $0.10 per 1M input tokens and $0.30 per 1M output tokens, with roughly 200 ms to first token and about 55 tokens/sec output throughput. ## Price per 1M tokens Input $0.10 · Output $0.30 · Output/input ratio 3.0x. - 1M input + 1M output tokens: $0.40 - 10M input + 2M output tokens/month: $1.60 - 100M input + 20M output tokens/month: $16.00 ## Cheaper alternatives to qwen-3-plus Same workload, lower output price. Validate quality before switching. - deepseek-v4 — $0.22/1M output (27% cheaper) - llama-4-scout — $0.20/1M output (33% cheaper) - phi-4-mini — $0.20/1M output (33% cheaper) - gemini-2.5-flash-lite — $0.15/1M output (50% cheaper) ## How much are you wasting on qwen-3-plus? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does qwen-3-plus cost per million tokens? $0.10 per 1M input tokens and $0.30 per 1M output tokens, as listed on 2026-09-02. ### What does qwen-3-plus cost per month at typical usage? At 10M input and 2M output tokens per month, qwen-3-plus costs about $1.60. At 100M input and 20M output tokens it costs about $16.00. ### Is there a cheaper alternative to qwen-3-plus? Yes. deepseek-v4 at $0.22/1M output, llama-4-scout at $0.20/1M output, phi-4-mini at $0.20/1M output, gemini-2.5-flash-lite at $0.15/1M output. Validate quality on your own evaluation set before switching. ### How fast is qwen-3-plus? Roughly 200 ms to first token and about 55 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [deepseek-v4 pricing](https://tokenomy.ai/models/deepseek-v4) - [llama-4-scout pricing](https://tokenomy.ai/models/llama-4-scout) - [phi-4-mini pricing](https://tokenomy.ai/models/phi-4-mini) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # ernie-4.5 pricing > ernie-4.5 costs $0.20 per 1M input tokens and $0.60 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/ernie-4-5 Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer ernie-4.5 costs $0.20 per 1M input tokens and $0.60 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $3.20. The cheapest comparable alternative is gemini-3-flash at $0.40 per 1M output tokens. ernie-4.5 is priced at $0.20 per 1M input tokens and $0.60 per 1M output tokens, with roughly 320 ms to first token and about 40 tokens/sec output throughput. ## Price per 1M tokens Input $0.20 · Output $0.60 · Output/input ratio 3.0x. - 1M input + 1M output tokens: $0.80 - 10M input + 2M output tokens/month: $3.20 - 100M input + 20M output tokens/month: $32.00 ## Cheaper alternatives to ernie-4.5 Same workload, lower output price. Validate quality before switching. - gemini-3.5-flash — $0.50/1M output (17% cheaper) - llama-4-maverick — $0.50/1M output (17% cheaper) - grok-3-mini — $0.50/1M output (17% cheaper) - gemini-3-flash — $0.40/1M output (33% cheaper) ## How much are you wasting on ernie-4.5? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does ernie-4.5 cost per million tokens? $0.20 per 1M input tokens and $0.60 per 1M output tokens, as listed on 2026-09-02. ### What does ernie-4.5 cost per month at typical usage? At 10M input and 2M output tokens per month, ernie-4.5 costs about $3.20. At 100M input and 20M output tokens it costs about $32.00. ### Is there a cheaper alternative to ernie-4.5? Yes. gemini-3.5-flash at $0.50/1M output, llama-4-maverick at $0.50/1M output, grok-3-mini at $0.50/1M output, gemini-3-flash at $0.40/1M output. Validate quality on your own evaluation set before switching. ### How fast is ernie-4.5? Roughly 320 ms to first token and about 40 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [gemini-3.5-flash pricing](https://tokenomy.ai/models/gemini-3-5-flash) - [llama-4-maverick pricing](https://tokenomy.ai/models/llama-4-maverick) - [grok-3-mini pricing](https://tokenomy.ai/models/grok-3-mini) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator) --- # ernie-lite pricing > ernie-lite costs $0.10 per 1M input tokens and $0.30 per 1M output tokens. Compare against cheaper alternatives and estimate your monthly bill — free, no login. Source: https://tokenomy.ai/models/ernie-lite Last updated: 2026-09-02 Publisher: Tokenomy — FinOps for AI License: free to quote with attribution and a link to the source URL. ## Answer ernie-lite costs $0.10 per 1M input tokens and $0.30 per 1M output tokens as of 2026-09-02. A workload of 10M input and 2M output tokens per month runs $1.60. The cheapest comparable alternative is gemini-2.5-flash-lite at $0.15 per 1M output tokens. ernie-lite is priced at $0.10 per 1M input tokens and $0.30 per 1M output tokens, with roughly 240 ms to first token and about 45 tokens/sec output throughput. ## Price per 1M tokens Input $0.10 · Output $0.30 · Output/input ratio 3.0x. - 1M input + 1M output tokens: $0.40 - 10M input + 2M output tokens/month: $1.60 - 100M input + 20M output tokens/month: $16.00 ## Cheaper alternatives to ernie-lite Same workload, lower output price. Validate quality before switching. - deepseek-v4 — $0.22/1M output (27% cheaper) - llama-4-scout — $0.20/1M output (33% cheaper) - phi-4-mini — $0.20/1M output (33% cheaper) - gemini-2.5-flash-lite — $0.15/1M output (50% cheaper) ## How much are you wasting on ernie-lite? Price lists are the easy part. Run the free waste scanner on your usage export to see which calls should have run on a cheaper tier, which prompts are oversized, and which retries you paid for twice — with dollars recoverable per finding. ## Frequently asked questions ### How much does ernie-lite cost per million tokens? $0.10 per 1M input tokens and $0.30 per 1M output tokens, as listed on 2026-09-02. ### What does ernie-lite cost per month at typical usage? At 10M input and 2M output tokens per month, ernie-lite costs about $1.60. At 100M input and 20M output tokens it costs about $16.00. ### Is there a cheaper alternative to ernie-lite? Yes. deepseek-v4 at $0.22/1M output, llama-4-scout at $0.20/1M output, phi-4-mini at $0.20/1M output, gemini-2.5-flash-lite at $0.15/1M output. Validate quality on your own evaluation set before switching. ### How fast is ernie-lite? Roughly 240 ms to first token and about 45 output tokens per second. ## Related pages - [Scan your AI spend free](https://tokenomy.ai/waste) - [All model pricing](https://tokenomy.ai/models) - [deepseek-v4 pricing](https://tokenomy.ai/models/deepseek-v4) - [llama-4-scout pricing](https://tokenomy.ai/models/llama-4-scout) - [phi-4-mini pricing](https://tokenomy.ai/models/phi-4-mini) - [Token cost calculator](https://tokenomy.ai/tools/token-calculator)