Compare two models on price, speed and monthly bill
A model comparison that stops at benchmark scores hides the decision that matters: at a typical 1,500-input, 500-output call, flagship models can differ by an order of magnitude in monthly cost. Tokenomy compares any two models on input and output price per million tokens, time to first token, throughput and total monthly spend at your call volume.
Benchmarks tell you which model is better. This tells you what the difference costs, on your own call volume.
Last updated . Model pricing is refreshed twice daily.
What each comparison shows
Price per million tokens in and out, latency, throughput, and the monthly bill at a call volume you set.
- gpt-5.2 vs claude-opus-4
- gpt-5.2 vs claude-sonnet-4
- gpt-5.2 vs claude-3.5-sonnet
- gpt-5.2 vs gemini-3-pro
- gpt-5.2 vs gemini-2.5-pro
- gpt-5.2 vs gemini-2.5-flash
- gpt-5.2 vs grok-4
- gpt-5.2 vs deepseek-v3
Price is rarely the whole answer
Most teams do not have to choose one model. Routing sends easy calls to the cheap model and keeps the expensive one for hard ones, which usually beats either model alone on cost per acceptable answer.