gpt-5.2 vs gemini-3-pro
On a 1,500-input, 500-output call at 10,000 calls a day, gpt-5.2 costs about $2,100 a month and gemini-3-pro about $1,650 — gemini-3-pro is roughly 21% cheaper than gpt-5.2. gpt-5.2 lists $8.00 per 1M output tokens against gemini-3-pro at $8.00.
gpt-5.2 costs $2.00/1M in and $8.00/1M out; gemini-3-pro costs $1.00/1M in and $8.00/1M out.
Last updated . Model pricing is refreshed twice daily.
Price per 1M tokens
gpt-5.2: input $2.00, output $8.00. gemini-3-pro: input $1.00, output $8.00.
- Monthly at 10,000 calls/day — gpt-5.2: $2,100, gemini-3-pro: $1,650
- Monthly at 100,000 calls/day — gpt-5.2: $21,000, gemini-3-pro: $16,500
- Time to first token — gpt-5.2: 200 ms, gemini-3-pro: 150 ms
- Throughput — gpt-5.2: 220 tok/s, gemini-3-pro: 120 tok/s
Which one to run
If your workload tolerates gemini-3-pro's quality, the saving is immediate. If it does not, route: send the easy calls to gemini-3-pro and keep gpt-5.2 for the hard ones.
Frequently asked questions
Is gpt-5.2 cheaper than gemini-3-pro?
gemini-3-pro is cheaper. At 10,000 calls a day with 1,500 input and 500 output tokens, gpt-5.2 costs about $2,100 a month and gemini-3-pro about $1,650.
What is the price difference between gpt-5.2 and gemini-3-pro?
About 21% on the same workload, using list prices with no caching or batch discounts.