Gemini 2.5 Pro Pro vs GPT-4.1 Pro: which model should you choose?
We compared Gemini 2.5 Pro Pro and GPT-4.1 Pro on price, context window and 12 benchmarks. GPT-4.1 Pro has the stronger average benchmark score; Gemini 2.5 Pro Pro is cheaper on a blended 3:1 basis.
Gemini 2.5 Pro Pro
Gemini 2.5 Pro Pro is a frontier model from Google DeepMind. It offers a 400,000-token context window, costs $17.16 per million input tokens and $90.89 per million output tokens, and averages 83.6 across the index's benchmark suite.
- Input
- $17.16 / 1M
- Output
- $90.89 / 1M
- Context
- 400,000
- Avg score
- 83.6
- Open weights
- No
GPT-4.1 Pro
GPT-4.1 Pro is a frontier model from OpenAI. It offers a 400,000-token context window, costs $17.56 per million input tokens and $91.14 per million output tokens, and averages 85.2 across the index's benchmark suite.
- Input
- $17.56 / 1M
- Output
- $91.14 / 1M
- Context
- 400,000
- Avg score
- 85.2
- Open weights
- No
Specification comparison
| Spec | Gemini 2.5 Pro Pro | GPT-4.1 Pro | Edge |
|---|---|---|---|
| Input price / 1M | $17.16 | $17.56 | A |
| Output price / 1M | $90.89 | $91.14 | A |
| Context window | 400,000 | 400,000 | Tie |
| Max output | 8,192 | 8,192 | Tie |
| Average score | 83.6 | 85.2 | B |
| Arena Elo | 1460.2 | 1449.6 | A |
| Open weights | No | No | Tie |
Benchmark comparison
Gemini 2.5 Pro Pro wins 3, GPT-4.1 Pro wins 9, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Gemini 2.5 Pro Pro | GPT-4.1 Pro | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 85.2 | 86.9 | 1.7 | GPT-4.1 Pro |
| GPQA Diamond | 81.6 | 78.2 | 3.4 | Gemini 2.5 Pro Pro |
| SWE-bench Verified | 72.1 | 77.3 | 5.2 | GPT-4.1 Pro |
| HumanEval | 88.4 | 91.9 | 3.5 | GPT-4.1 Pro |
| MATH-500 | 86.8 | 88.8 | 2.0 | GPT-4.1 Pro |
| AIME 2025 | 83.3 | 82.8 | 0.5 | Gemini 2.5 Pro Pro |
| LiveCodeBench | 76.5 | 76.7 | 0.2 | GPT-4.1 Pro |
| IFEval | 92.0 | 92.2 | 0.2 | GPT-4.1 Pro |
| TruthfulQA | 85.5 | 87.7 | 2.2 | GPT-4.1 Pro |
| HellaSwag | 90.6 | 93.7 | 3.1 | GPT-4.1 Pro |
| MMMU | 78.1 | 81.5 | 3.4 | GPT-4.1 Pro |
| Arena Elo | 1460.2 | 1449.6 | 10.6 | Gemini 2.5 Pro Pro |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 2.5 Pro Pro costs about $35.59 per million tokens and GPT-4.1 Pro costs about $35.95. Gemini 2.5 Pro Pro is roughly 1% cheaper than GPT-4.1 Pro. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Both models list a 400,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Gemini 2.5 Pro Pro wins 3, GPT-4.1 Pro wins 9, and 0 are tied. On the index average, GPT-4.1 Pro leads Gemini 2.5 Pro Pro by 1.6 points (85.2 versus 83.6).
The price picture favours Gemini 2.5 Pro Pro. The context picture is effectively a tie. 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 Pro for quality-sensitive work and Gemini 2.5 Pro Pro for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Gemini 2.5 Pro Pro if
- Unit cost matters and you want the cheaper blended price.
Choose GPT-4.1 Pro if
- You want the higher average benchmark score in this index.
FAQ
Is Gemini 2.5 Pro Pro better than GPT-4.1 Pro?
On the index average, GPT-4.1 Pro leads Gemini 2.5 Pro Pro by 1.6 points (85.2 versus 83.6). The better choice depends on price, context and your task. Gemini 2.5 Pro Pro wins 3 benchmarks, GPT-4.1 Pro wins 9.
Which is cheaper, Gemini 2.5 Pro Pro or GPT-4.1 Pro?
Gemini 2.5 Pro Pro is cheaper on a blended 3:1 basis at about $35.59 per million tokens, versus $35.95 for GPT-4.1 Pro.
Which has the larger context window?
Both models list a 400,000-token context window.
Are these models open weights?
Gemini 2.5 Pro Pro is proprietary; GPT-4.1 Pro is proprietary.
Which should I choose for production?
If you need a single default, start with GPT-4.1 Pro for quality-sensitive work and Gemini 2.5 Pro Pro for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.