Claude 3.7 Sonnet Turbo vs Gemini 2.5 Pro: which model should you choose?
We compared Claude 3.7 Sonnet Turbo and Gemini 2.5 Pro on price, context window and 12 benchmarks. Claude 3.7 Sonnet Turbo has the stronger average benchmark score; Gemini 2.5 Pro is cheaper on a blended 3:1 basis.
Claude 3.7 Sonnet Turbo
Claude 3.7 Sonnet Turbo is a multimodal model from Anthropic. It offers a 200,000-token context window, costs $15.56 per million input tokens and $63.75 per million output tokens, and averages 82.3 across the index's benchmark suite.
- Input
- $15.56 / 1M
- Output
- $63.75 / 1M
- Context
- 200,000
- Avg score
- 82.3
- Open weights
- No
Gemini 2.5 Pro
Gemini 2.5 Pro is a multimodal model from Google DeepMind. It offers a 200,000-token context window, costs $15.20 per million input tokens and $57.83 per million output tokens, and averages 81.6 across the index's benchmark suite.
- Input
- $15.20 / 1M
- Output
- $57.83 / 1M
- Context
- 200,000
- Avg score
- 81.6
- Open weights
- No
Specification comparison
| Spec | Claude 3.7 Sonnet Turbo | Gemini 2.5 Pro | Edge |
|---|---|---|---|
| Input price / 1M | $15.56 | $15.20 | B |
| Output price / 1M | $63.75 | $57.83 | B |
| Context window | 200,000 | 200,000 | Tie |
| Max output | 16,384 | 16,384 | Tie |
| Average score | 82.3 | 81.6 | A |
| Arena Elo | 1458.8 | 1455.0 | A |
| Open weights | No | No | Tie |
Benchmark comparison
Claude 3.7 Sonnet Turbo wins 5, Gemini 2.5 Pro wins 6, and 1 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Claude 3.7 Sonnet Turbo | Gemini 2.5 Pro | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 82.1 | 83.6 | 1.5 | Gemini 2.5 Pro |
| GPQA Diamond | 79.7 | 76.5 | 3.2 | Claude 3.7 Sonnet Turbo |
| SWE-bench Verified | 73.9 | 70.2 | 3.7 | Claude 3.7 Sonnet Turbo |
| HumanEval | 87.6 | 87.7 | 0.1 | Gemini 2.5 Pro |
| MATH-500 | 86.8 | 86.8 | 0.0 | Tie |
| AIME 2025 | 81.4 | 76.1 | 5.3 | Claude 3.7 Sonnet Turbo |
| LiveCodeBench | 75.5 | 76.2 | 0.7 | Gemini 2.5 Pro |
| IFEval | 87.4 | 87.6 | 0.2 | Gemini 2.5 Pro |
| TruthfulQA | 82.6 | 82.8 | 0.2 | Gemini 2.5 Pro |
| HellaSwag | 91.0 | 89.7 | 1.3 | Claude 3.7 Sonnet Turbo |
| MMMU | 77.6 | 80.5 | 2.9 | Gemini 2.5 Pro |
| Arena Elo | 1458.8 | 1455.0 | 3.8 | Claude 3.7 Sonnet Turbo |
Price analysis
On a blended 3:1 input-to-output basis, Claude 3.7 Sonnet Turbo costs about $27.61 per million tokens and Gemini 2.5 Pro costs about $25.86. Gemini 2.5 Pro is roughly 6% cheaper than Claude 3.7 Sonnet Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Both models list a 200,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Claude 3.7 Sonnet Turbo wins 5, Gemini 2.5 Pro wins 6, and 1 are tied. On the index average, Claude 3.7 Sonnet Turbo leads Gemini 2.5 Pro by 0.7 points (82.3 versus 81.6).
The price picture favours Gemini 2.5 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 Claude 3.7 Sonnet Turbo for quality-sensitive work and Gemini 2.5 Pro for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Claude 3.7 Sonnet Turbo if
- You want the higher average benchmark score in this index.
Choose Gemini 2.5 Pro if
- Unit cost matters and you want the cheaper blended price.
FAQ
Is Claude 3.7 Sonnet Turbo better than Gemini 2.5 Pro?
On the index average, Claude 3.7 Sonnet Turbo leads Gemini 2.5 Pro by 0.7 points (82.3 versus 81.6). The better choice depends on price, context and your task. Claude 3.7 Sonnet Turbo wins 5 benchmarks, Gemini 2.5 Pro wins 6.
Which is cheaper, Claude 3.7 Sonnet Turbo or Gemini 2.5 Pro?
Gemini 2.5 Pro is cheaper on a blended 3:1 basis at about $25.86 per million tokens, versus $27.61 for Claude 3.7 Sonnet Turbo.
Which has the larger context window?
Both models list a 200,000-token context window.
Are these models open weights?
Claude 3.7 Sonnet Turbo is proprietary; Gemini 2.5 Pro is proprietary.
Which should I choose for production?
If you need a single default, start with Claude 3.7 Sonnet Turbo for quality-sensitive work and Gemini 2.5 Pro for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.