Gemini 2.5 Pro Vision vs GPT-4.1 Vision: which model should you choose?
We compared Gemini 2.5 Pro Vision and GPT-4.1 Vision on price, context window and 12 benchmarks. Gemini 2.5 Pro Vision and GPT-4.1 Vision are effectively tied on the index average; Gemini 2.5 Pro Vision is cheaper on a blended 3:1 basis.
Gemini 2.5 Pro Vision
Gemini 2.5 Pro Vision is a multimodal model from Google DeepMind. It offers a 200,000-token context window, costs $14.91 per million input tokens and $71.00 per million output tokens, and averages 82.0 across the index's benchmark suite.
- Input
- $14.91 / 1M
- Output
- $71.00 / 1M
- Context
- 200,000
- Avg score
- 82.0
- 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 2.5 Pro Vision | GPT-4.1 Vision | Edge |
|---|---|---|---|
| Input price / 1M | $14.91 | $14.88 | B |
| Output price / 1M | $71.00 | $81.24 | A |
| Context window | 200,000 | 1,000,000 | B |
| Max output | 4,096 | 8,192 | B |
| Average score | 82.0 | 82.0 | Tie |
| Arena Elo | 1451.3 | 1451.8 | B |
| Open weights | No | No | Tie |
Benchmark comparison
Gemini 2.5 Pro Vision wins 5, GPT-4.1 Vision wins 6, and 1 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Gemini 2.5 Pro Vision | GPT-4.1 Vision | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 83.9 | 84.0 | 0.1 | GPT-4.1 Vision |
| GPQA Diamond | 78.0 | 79.3 | 1.3 | GPT-4.1 Vision |
| SWE-bench Verified | 72.4 | 72.4 | 0.0 | Tie |
| HumanEval | 85.8 | 86.8 | 1.0 | GPT-4.1 Vision |
| MATH-500 | 82.9 | 87.5 | 4.6 | GPT-4.1 Vision |
| AIME 2025 | 80.0 | 77.2 | 2.8 | Gemini 2.5 Pro Vision |
| LiveCodeBench | 76.0 | 74.3 | 1.7 | Gemini 2.5 Pro Vision |
| IFEval | 90.2 | 88.7 | 1.5 | Gemini 2.5 Pro Vision |
| TruthfulQA | 84.1 | 84.4 | 0.3 | GPT-4.1 Vision |
| HellaSwag | 90.8 | 89.7 | 1.1 | Gemini 2.5 Pro Vision |
| MMMU | 78.2 | 77.5 | 0.7 | Gemini 2.5 Pro Vision |
| Arena Elo | 1451.3 | 1451.8 | 0.5 | GPT-4.1 Vision |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 2.5 Pro Vision costs about $28.93 per million tokens and GPT-4.1 Vision costs about $31.47. Gemini 2.5 Pro Vision is roughly 8% cheaper than GPT-4.1 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 200,000 for Gemini 2.5 Pro Vision. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Gemini 2.5 Pro Vision wins 5, GPT-4.1 Vision wins 6, and 1 are tied. The two models are effectively tied on the index average at 82.0.
The price picture favours Gemini 2.5 Pro 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 Gemini 2.5 Pro Vision if cost is the constraint and GPT-4.1 Vision if context is the constraint. Test both on a sample of your own traffic before committing.
Choose Gemini 2.5 Pro Vision if
- Unit cost matters and you want the cheaper blended price.
Choose GPT-4.1 Vision if
- You need the larger 1,000,000-token context window.
- You need the larger 8,192-token output limit.
FAQ
Is Gemini 2.5 Pro Vision better than GPT-4.1 Vision?
The two models are effectively tied on the index average at 82.0. The better choice depends on price, context and your task. Gemini 2.5 Pro Vision wins 5 benchmarks, GPT-4.1 Vision wins 6.
Which is cheaper, Gemini 2.5 Pro Vision or GPT-4.1 Vision?
Gemini 2.5 Pro Vision is cheaper on a blended 3:1 basis at about $28.93 per million tokens, versus $31.47 for GPT-4.1 Vision.
Which has the larger context window?
GPT-4.1 Vision has the larger context window at 1,000,000 tokens. Gemini 2.5 Pro Vision has 200,000 tokens.
Are these models open weights?
Gemini 2.5 Pro Vision is proprietary; GPT-4.1 Vision is proprietary.
Which should I choose for production?
If you need a single default, start with Gemini 2.5 Pro Vision if cost is the constraint and GPT-4.1 Vision if context is the constraint. Test both on a sample of your own traffic before committing.