Gemini 2.5 Pro Turbo vs GPT-4.1 Turbo: which model should you choose?
We compared Gemini 2.5 Pro Turbo and GPT-4.1 Turbo on price, context window and 12 benchmarks. Gemini 2.5 Pro Turbo has the stronger average benchmark score; GPT-4.1 Turbo is cheaper on a blended 3:1 basis.
Gemini 2.5 Pro Turbo
Gemini 2.5 Pro Turbo is a frontier model from Google DeepMind. It offers a 1,000,000-token context window, costs $16.32 per million input tokens and $72.61 per million output tokens, and averages 83.9 across the index's benchmark suite.
- Input
- $16.32 / 1M
- Output
- $72.61 / 1M
- Context
- 1,000,000
- Avg score
- 83.9
- Open weights
- No
GPT-4.1 Turbo
GPT-4.1 Turbo is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $16.12 per million input tokens and $69.91 per million output tokens, and averages 82.9 across the index's benchmark suite.
- Input
- $16.12 / 1M
- Output
- $69.91 / 1M
- Context
- 1,000,000
- Avg score
- 82.9
- Open weights
- No
Specification comparison
| Spec | Gemini 2.5 Pro Turbo | GPT-4.1 Turbo | Edge |
|---|---|---|---|
| Input price / 1M | $16.32 | $16.12 | B |
| Output price / 1M | $72.61 | $69.91 | B |
| Context window | 1,000,000 | 1,000,000 | Tie |
| Max output | 128,000 | 128,000 | Tie |
| Average score | 83.9 | 82.9 | A |
| Arena Elo | 1464.0 | 1446.2 | A |
| Open weights | No | No | Tie |
Benchmark comparison
Gemini 2.5 Pro Turbo wins 6, GPT-4.1 Turbo wins 6, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Gemini 2.5 Pro Turbo | GPT-4.1 Turbo | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 82.9 | 84.6 | 1.7 | GPT-4.1 Turbo |
| GPQA Diamond | 81.7 | 76.1 | 5.6 | Gemini 2.5 Pro Turbo |
| SWE-bench Verified | 71.4 | 74.7 | 3.3 | GPT-4.1 Turbo |
| HumanEval | 88.1 | 89.8 | 1.7 | GPT-4.1 Turbo |
| MATH-500 | 90.6 | 86.9 | 3.7 | Gemini 2.5 Pro Turbo |
| AIME 2025 | 83.7 | 77.4 | 6.3 | Gemini 2.5 Pro Turbo |
| LiveCodeBench | 78.6 | 78.7 | 0.1 | GPT-4.1 Turbo |
| IFEval | 90.7 | 88.2 | 2.5 | Gemini 2.5 Pro Turbo |
| TruthfulQA | 85.9 | 87.0 | 1.1 | GPT-4.1 Turbo |
| HellaSwag | 91.2 | 90.0 | 1.2 | Gemini 2.5 Pro Turbo |
| MMMU | 78.4 | 78.5 | 0.1 | GPT-4.1 Turbo |
| Arena Elo | 1464.0 | 1446.2 | 17.8 | Gemini 2.5 Pro Turbo |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 2.5 Pro Turbo costs about $30.39 per million tokens and GPT-4.1 Turbo costs about $29.57. GPT-4.1 Turbo is roughly 3% cheaper than Gemini 2.5 Pro Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Both models list a 1,000,000-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 Turbo wins 6, GPT-4.1 Turbo wins 6, and 0 are tied. On the index average, Gemini 2.5 Pro Turbo leads GPT-4.1 Turbo by 1.0 points (83.9 versus 82.9).
The price picture favours GPT-4.1 Turbo. 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 Gemini 2.5 Pro Turbo for quality-sensitive work and GPT-4.1 Turbo 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 Turbo if
- You want the higher average benchmark score in this index.
Choose GPT-4.1 Turbo if
- Unit cost matters and you want the cheaper blended price.
FAQ
Is Gemini 2.5 Pro Turbo better than GPT-4.1 Turbo?
On the index average, Gemini 2.5 Pro Turbo leads GPT-4.1 Turbo by 1.0 points (83.9 versus 82.9). The better choice depends on price, context and your task. Gemini 2.5 Pro Turbo wins 6 benchmarks, GPT-4.1 Turbo wins 6.
Which is cheaper, Gemini 2.5 Pro Turbo or GPT-4.1 Turbo?
GPT-4.1 Turbo is cheaper on a blended 3:1 basis at about $29.57 per million tokens, versus $30.39 for Gemini 2.5 Pro Turbo.
Which has the larger context window?
Both models list a 1,000,000-token context window.
Are these models open weights?
Gemini 2.5 Pro Turbo is proprietary; GPT-4.1 Turbo is proprietary.
Which should I choose for production?
If you need a single default, start with Gemini 2.5 Pro Turbo for quality-sensitive work and GPT-4.1 Turbo for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.