Claude 3.7 Sonnet Max vs Gemini 2.5 Pro Reasoning: which model should you choose?
We compared Claude 3.7 Sonnet Max and Gemini 2.5 Pro Reasoning on price, context window and 12 benchmarks. Gemini 2.5 Pro Reasoning has the stronger average benchmark score; Gemini 2.5 Pro Reasoning is cheaper on a blended 3:1 basis.
Claude 3.7 Sonnet Max
Claude 3.7 Sonnet Max is a frontier model from Anthropic. It offers a 128,000-token context window, costs $16.88 per million input tokens and $83.20 per million output tokens, and averages 83.7 across the index's benchmark suite.
- Input
- $16.88 / 1M
- Output
- $83.20 / 1M
- Context
- 128,000
- Avg score
- 83.7
- Open weights
- No
Gemini 2.5 Pro Reasoning
Gemini 2.5 Pro Reasoning is a frontier model from Google DeepMind. It offers a 128,000-token context window, costs $16.81 per million input tokens and $67.95 per million output tokens, and averages 83.8 across the index's benchmark suite.
- Input
- $16.81 / 1M
- Output
- $67.95 / 1M
- Context
- 128,000
- Avg score
- 83.8
- Open weights
- No
Specification comparison
| Spec | Claude 3.7 Sonnet Max | Gemini 2.5 Pro Reasoning | Edge |
|---|---|---|---|
| Input price / 1M | $16.88 | $16.81 | B |
| Output price / 1M | $83.20 | $67.95 | B |
| Context window | 128,000 | 128,000 | Tie |
| Max output | 32,768 | 4,096 | A |
| Average score | 83.7 | 83.8 | B |
| Arena Elo | 1461.6 | 1472.1 | B |
| Open weights | No | No | Tie |
Benchmark comparison
Claude 3.7 Sonnet Max wins 4, Gemini 2.5 Pro Reasoning wins 8, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Claude 3.7 Sonnet Max | Gemini 2.5 Pro Reasoning | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 86.0 | 86.8 | 0.8 | Gemini 2.5 Pro Reasoning |
| GPQA Diamond | 76.8 | 80.0 | 3.2 | Gemini 2.5 Pro Reasoning |
| SWE-bench Verified | 76.1 | 71.2 | 4.9 | Claude 3.7 Sonnet Max |
| HumanEval | 90.9 | 86.7 | 4.2 | Claude 3.7 Sonnet Max |
| MATH-500 | 87.2 | 87.9 | 0.7 | Gemini 2.5 Pro Reasoning |
| AIME 2025 | 80.7 | 84.2 | 3.5 | Gemini 2.5 Pro Reasoning |
| LiveCodeBench | 78.1 | 74.8 | 3.3 | Claude 3.7 Sonnet Max |
| IFEval | 90.0 | 90.8 | 0.8 | Gemini 2.5 Pro Reasoning |
| TruthfulQA | 84.7 | 84.0 | 0.7 | Claude 3.7 Sonnet Max |
| HellaSwag | 91.2 | 92.1 | 0.9 | Gemini 2.5 Pro Reasoning |
| MMMU | 78.8 | 82.8 | 4.0 | Gemini 2.5 Pro Reasoning |
| Arena Elo | 1461.6 | 1472.1 | 10.5 | Gemini 2.5 Pro Reasoning |
Price analysis
On a blended 3:1 input-to-output basis, Claude 3.7 Sonnet Max costs about $33.46 per million tokens and Gemini 2.5 Pro Reasoning costs about $29.59. Gemini 2.5 Pro Reasoning is roughly 12% cheaper than Claude 3.7 Sonnet Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Both models list a 128,000-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 Max wins 4, Gemini 2.5 Pro Reasoning wins 8, and 0 are tied. On the index average, Gemini 2.5 Pro Reasoning leads Claude 3.7 Sonnet Max by 0.1 points (83.8 versus 83.7).
The price picture favours Gemini 2.5 Pro Reasoning. 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 Reasoning for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Claude 3.7 Sonnet Max if
- You need the larger 32,768-token output limit.
Choose Gemini 2.5 Pro Reasoning if
- You want the higher average benchmark score in this index.
- Unit cost matters and you want the cheaper blended price.
FAQ
Is Claude 3.7 Sonnet Max better than Gemini 2.5 Pro Reasoning?
On the index average, Gemini 2.5 Pro Reasoning leads Claude 3.7 Sonnet Max by 0.1 points (83.8 versus 83.7). The better choice depends on price, context and your task. Claude 3.7 Sonnet Max wins 4 benchmarks, Gemini 2.5 Pro Reasoning wins 8.
Which is cheaper, Claude 3.7 Sonnet Max or Gemini 2.5 Pro Reasoning?
Gemini 2.5 Pro Reasoning is cheaper on a blended 3:1 basis at about $29.59 per million tokens, versus $33.46 for Claude 3.7 Sonnet Max.
Which has the larger context window?
Both models list a 128,000-token context window.
Are these models open weights?
Claude 3.7 Sonnet Max is proprietary; Gemini 2.5 Pro Reasoning is proprietary.
Which should I choose for production?
If you need a single default, start with Gemini 2.5 Pro Reasoning for quality-sensitive work, and check whether its price holds at your expected volume before committing.