Gemini 3 Pro Vision vs GPT-5.1 Vision: which model should you choose?
We compared Gemini 3 Pro Vision and GPT-5.1 Vision on price, context window and 12 benchmarks. Gemini 3 Pro Vision has the stronger average benchmark score; Gemini 3 Pro Vision is cheaper on a blended 3:1 basis.
Gemini 3 Pro Vision
Gemini 3 Pro Vision is a frontier model from Google DeepMind. It offers a 200,000-token context window, costs $17.59 per million input tokens and $68.83 per million output tokens, and averages 85.5 across the index's benchmark suite.
- Input
- $17.59 / 1M
- Output
- $68.83 / 1M
- Context
- 200,000
- Avg score
- 85.5
- Open weights
- No
GPT-5.1 Vision
GPT-5.1 Vision is a frontier model from OpenAI. It offers a 400,000-token context window, costs $17.76 per million input tokens and $80.59 per million output tokens, and averages 84.8 across the index's benchmark suite.
- Input
- $17.76 / 1M
- Output
- $80.59 / 1M
- Context
- 400,000
- Avg score
- 84.8
- Open weights
- No
Specification comparison
| Spec | Gemini 3 Pro Vision | GPT-5.1 Vision | Edge |
|---|---|---|---|
| Input price / 1M | $17.59 | $17.76 | A |
| Output price / 1M | $68.83 | $80.59 | A |
| Context window | 200,000 | 400,000 | B |
| Max output | 128,000 | 16,384 | A |
| Average score | 85.5 | 84.8 | A |
| Arena Elo | 1458.1 | 1462.4 | B |
| Open weights | No | No | Tie |
Benchmark comparison
Gemini 3 Pro Vision wins 6, GPT-5.1 Vision wins 6, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Gemini 3 Pro Vision | GPT-5.1 Vision | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 87.3 | 85.5 | 1.8 | Gemini 3 Pro Vision |
| GPQA Diamond | 80.6 | 78.7 | 1.9 | Gemini 3 Pro Vision |
| SWE-bench Verified | 76.5 | 73.6 | 2.9 | Gemini 3 Pro Vision |
| HumanEval | 91.6 | 89.6 | 2.0 | Gemini 3 Pro Vision |
| MATH-500 | 88.4 | 89.1 | 0.7 | GPT-5.1 Vision |
| AIME 2025 | 87.3 | 82.4 | 4.9 | Gemini 3 Pro Vision |
| LiveCodeBench | 79.2 | 77.8 | 1.4 | Gemini 3 Pro Vision |
| IFEval | 90.4 | 92.7 | 2.3 | GPT-5.1 Vision |
| TruthfulQA | 84.5 | 86.9 | 2.4 | GPT-5.1 Vision |
| HellaSwag | 91.1 | 92.1 | 1.0 | GPT-5.1 Vision |
| MMMU | 83.6 | 83.9 | 0.3 | GPT-5.1 Vision |
| Arena Elo | 1458.1 | 1462.4 | 4.3 | GPT-5.1 Vision |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 3 Pro Vision costs about $30.40 per million tokens and GPT-5.1 Vision costs about $33.47. Gemini 3 Pro Vision is roughly 9% cheaper than GPT-5.1 Vision. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
GPT-5.1 Vision has the larger context window at 400,000 tokens, compared with 200,000 for Gemini 3 Pro Vision. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Gemini 3 Pro Vision wins 6, GPT-5.1 Vision wins 6, and 0 are tied. On the index average, Gemini 3 Pro Vision leads GPT-5.1 Vision by 0.7 points (85.5 versus 84.8).
The price picture favours Gemini 3 Pro Vision. The context picture favours GPT-5.1 Vision. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.
If you need a single default, start with Gemini 3 Pro Vision for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Gemini 3 Pro Vision if
- You want the higher average benchmark score in this index.
- Unit cost matters and you want the cheaper blended price.
- You need the larger 128,000-token output limit.
Choose GPT-5.1 Vision if
- You need the larger 400,000-token context window.
FAQ
Is Gemini 3 Pro Vision better than GPT-5.1 Vision?
On the index average, Gemini 3 Pro Vision leads GPT-5.1 Vision by 0.7 points (85.5 versus 84.8). The better choice depends on price, context and your task. Gemini 3 Pro Vision wins 6 benchmarks, GPT-5.1 Vision wins 6.
Which is cheaper, Gemini 3 Pro Vision or GPT-5.1 Vision?
Gemini 3 Pro Vision is cheaper on a blended 3:1 basis at about $30.40 per million tokens, versus $33.47 for GPT-5.1 Vision.
Which has the larger context window?
GPT-5.1 Vision has the larger context window at 400,000 tokens. Gemini 3 Pro Vision has 200,000 tokens.
Are these models open weights?
Gemini 3 Pro Vision is proprietary; GPT-5.1 Vision is proprietary.
Which should I choose for production?
If you need a single default, start with Gemini 3 Pro Vision for quality-sensitive work, and check whether its price holds at your expected volume before committing.