Model comparison
GPT-5.2 vs Gemini 3 Pro
- Input
- $1.75 / 1M tokens
- Output
- $14.00 / 1M tokens
- Context
- 400K
- Released
- 2025-12-11
- Input
- $2.00 / 1M tokens (prompts ≤ 200K; $4.00 above 200K)
- Output
- $12.00 / 1M tokens (prompts ≤ 200K; $18.00 above 200K)
- Context
- 1M
- Released
- 2025-11-18
GPT-5.2 scores higher on 4 of the 4 benchmarks both models report; GPT-5.2 is cheaper on input tokens ($1.8 vs $2 per 1M, 1.1×); Gemini 3 Pro has the larger context window (1M vs 400K).
Specs and pricing side by side
| Spec | GPT-5.2 | Gemini 3 Pro |
|---|---|---|
| Maker | OpenAI | |
| Released | 2025-12-11 | 2025-11-18 |
| Context window | 400K | 1M |
| Max output | 128K | 64K |
| Input price | $1.75 / 1M tokens | $2.00 / 1M tokens (prompts ≤ 200K; $4.00 above 200K) |
| Output price | $14.00 / 1M tokens | $12.00 / 1M tokens (prompts ≤ 200K; $18.00 above 200K) |
| Parameters | Not disclosed by OpenAI | not published |
| License | Proprietary | Proprietarysame |
| Weights | API only | API onlysame |
| Modalities | Text, Vision | Text, Vision, Audio, Video, PDF |
| Knowledge cutoff | August 31, 2025 | January 2025 |
Benchmarks both models report
| Benchmark | GPT-5.2 | Gemini 3 Pro |
|---|---|---|
| SWE-bench Verified | 80% | 76.2% |
| GPQA Diamond | 92.4% | 91.9% |
| MMMU-Pro | 86.5% | 81% |
| Video-MMMU | 90.5% | 87.6% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick GPT-5.2 if…
- You care about SWE-bench Verified, GPQA Diamond, MMMU-Pro (it scores higher on 4 shared benchmarks).
- Cost matters: input tokens cost 1.1× less ($1.8 vs $2 per 1M).
- Your use case is: long-running autonomous agents and multi-step workflows that need a large context window and reliable tool use.
Pick Gemini 3 Pro if…
- You need the longer context (1M vs 400K).
- You need Audio / Video / PDF input, which GPT-5.2 lacks.
- Your use case is: complex multi-step reasoning and analysis over long documents or research material.
FAQ
Which is better, GPT-5.2 or Gemini 3 Pro?
GPT-5.2 scores higher on 4 of the 4 benchmarks both models report; GPT-5.2 is cheaper on input tokens ($1.8 vs $2 per 1M, 1.1×); Gemini 3 Pro has the larger context window (1M vs 400K). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is GPT-5.2?
GPT-5.2: $1.75 / 1M tokens input, $14.00 / 1M tokens output. Gemini 3 Pro: $2.00 / 1M tokens (prompts ≤ 200K; $4.00 above 200K) input, $12.00 / 1M tokens (prompts ≤ 200K; $18.00 above 200K) output (list API prices as published by each maker).
What are the context windows of GPT-5.2 and Gemini 3 Pro?
GPT-5.2 offers 400K with up to 128K output; Gemini 3 Pro offers 1M with up to 64K output.
Is GPT-5.2 newer than Gemini 3 Pro?
GPT-5.2 was released 2025-12-11; Gemini 3 Pro was released 2025-11-18.