Gemini 3 Flash Vision vs GPT-4.1 Vision: which model should you choose?
We compared Gemini 3 Flash Vision and GPT-4.1 Vision on price, context window and 12 benchmarks. GPT-4.1 Vision has the stronger average benchmark score; GPT-4.1 Vision is cheaper on a blended 3:1 basis.
Gemini 3 Flash Vision
Gemini 3 Flash Vision is a multimodal model from Google DeepMind. It offers a 400,000-token context window, costs $15.06 per million input tokens and $82.14 per million output tokens, and averages 81.9 across the index's benchmark suite.
- Input
- $15.06 / 1M
- Output
- $82.14 / 1M
- Context
- 400,000
- Avg score
- 81.9
- Open weights
- No
GPT-4.1 Vision
GPT-4.1 Vision is a multimodal model from OpenAI. It offers a 1,000,000-token context window, costs $14.88 per million input tokens and $81.24 per million output tokens, and averages 82.0 across the index's benchmark suite.
- Input
- $14.88 / 1M
- Output
- $81.24 / 1M
- Context
- 1,000,000
- Avg score
- 82.0
- Open weights
- No
Specification comparison
| Spec | Gemini 3 Flash Vision | GPT-4.1 Vision | Edge |
|---|---|---|---|
| Input price / 1M | $15.06 | $14.88 | B |
| Output price / 1M | $82.14 | $81.24 | B |
| Context window | 400,000 | 1,000,000 | B |
| Max output | 32,768 | 8,192 | A |
| Average score | 81.9 | 82.0 | B |
| Arena Elo | 1430.3 | 1451.8 | B |
| Open weights | No | No | Tie |
Benchmark comparison
Gemini 3 Flash Vision wins 4, GPT-4.1 Vision wins 7, and 1 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Gemini 3 Flash Vision | GPT-4.1 Vision | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 81.8 | 84.0 | 2.2 | GPT-4.1 Vision |
| GPQA Diamond | 75.7 | 79.3 | 3.6 | GPT-4.1 Vision |
| SWE-bench Verified | 71.4 | 72.4 | 1.0 | GPT-4.1 Vision |
| HumanEval | 84.5 | 86.8 | 2.3 | GPT-4.1 Vision |
| MATH-500 | 87.5 | 87.5 | 0.0 | Tie |
| AIME 2025 | 82.4 | 77.2 | 5.2 | Gemini 3 Flash Vision |
| LiveCodeBench | 73.2 | 74.3 | 1.1 | GPT-4.1 Vision |
| IFEval | 86.9 | 88.7 | 1.8 | GPT-4.1 Vision |
| TruthfulQA | 85.5 | 84.4 | 1.1 | Gemini 3 Flash Vision |
| HellaSwag | 91.5 | 89.7 | 1.8 | Gemini 3 Flash Vision |
| MMMU | 80.3 | 77.5 | 2.8 | Gemini 3 Flash Vision |
| Arena Elo | 1430.3 | 1451.8 | 21.5 | GPT-4.1 Vision |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 3 Flash Vision costs about $31.83 per million tokens and GPT-4.1 Vision costs about $31.47. GPT-4.1 Vision is roughly 1% cheaper than Gemini 3 Flash Vision. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
GPT-4.1 Vision has the larger context window at 1,000,000 tokens, compared with 400,000 for Gemini 3 Flash Vision. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Gemini 3 Flash Vision wins 4, GPT-4.1 Vision wins 7, and 1 are tied. On the index average, GPT-4.1 Vision leads Gemini 3 Flash Vision by 0.1 points (82.0 versus 81.9).
The price picture favours GPT-4.1 Vision. The context picture favours GPT-4.1 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 GPT-4.1 Vision for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Gemini 3 Flash Vision if
- You need the larger 32,768-token output limit.
Choose GPT-4.1 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 1,000,000-token context window.
FAQ
Is Gemini 3 Flash Vision better than GPT-4.1 Vision?
On the index average, GPT-4.1 Vision leads Gemini 3 Flash Vision by 0.1 points (82.0 versus 81.9). The better choice depends on price, context and your task. Gemini 3 Flash Vision wins 4 benchmarks, GPT-4.1 Vision wins 7.
Which is cheaper, Gemini 3 Flash Vision or GPT-4.1 Vision?
GPT-4.1 Vision is cheaper on a blended 3:1 basis at about $31.47 per million tokens, versus $31.83 for Gemini 3 Flash Vision.
Which has the larger context window?
GPT-4.1 Vision has the larger context window at 1,000,000 tokens. Gemini 3 Flash Vision has 400,000 tokens.
Are these models open weights?
Gemini 3 Flash Vision is proprietary; GPT-4.1 Vision is proprietary.
Which should I choose for production?
If you need a single default, start with GPT-4.1 Vision for quality-sensitive work, and check whether its price holds at your expected volume before committing.