Claude 3.7 Sonnet Turbo vs DeepSeek-R1: which model should you choose?
We compared Claude 3.7 Sonnet Turbo and DeepSeek-R1 on price, context window and 12 benchmarks. DeepSeek-R1 has the stronger average benchmark score; DeepSeek-R1 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
DeepSeek-R1
DeepSeek-R1 is a multimodal model from DeepSeek. It offers a 128,000-token context window, costs $5.83 per million input tokens and $25.23 per million output tokens, and averages 82.8 across the index's benchmark suite.
- Input
- $5.83 / 1M
- Output
- $25.23 / 1M
- Context
- 128,000
- Avg score
- 82.8
- Open weights
- Yes
Specification comparison
| Spec | Claude 3.7 Sonnet Turbo | DeepSeek-R1 | Edge |
|---|---|---|---|
| Input price / 1M | $15.56 | $5.83 | B |
| Output price / 1M | $63.75 | $25.23 | B |
| Context window | 200,000 | 128,000 | A |
| Max output | 16,384 | 4,096 | A |
| Average score | 82.3 | 82.8 | B |
| Arena Elo | 1458.8 | 1454.1 | A |
| Open weights | No | Yes | B |
Benchmark comparison
Claude 3.7 Sonnet Turbo wins 6, DeepSeek-R1 wins 6, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Claude 3.7 Sonnet Turbo | DeepSeek-R1 | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 82.1 | 83.8 | 1.7 | DeepSeek-R1 |
| GPQA Diamond | 79.7 | 77.8 | 1.9 | Claude 3.7 Sonnet Turbo |
| SWE-bench Verified | 73.9 | 72.2 | 1.7 | Claude 3.7 Sonnet Turbo |
| HumanEval | 87.6 | 86.4 | 1.2 | Claude 3.7 Sonnet Turbo |
| MATH-500 | 86.8 | 89.1 | 2.3 | DeepSeek-R1 |
| AIME 2025 | 81.4 | 81.1 | 0.3 | Claude 3.7 Sonnet Turbo |
| LiveCodeBench | 75.5 | 77.4 | 1.9 | DeepSeek-R1 |
| IFEval | 87.4 | 91.0 | 3.6 | DeepSeek-R1 |
| TruthfulQA | 82.6 | 82.9 | 0.3 | DeepSeek-R1 |
| HellaSwag | 91.0 | 89.8 | 1.2 | Claude 3.7 Sonnet Turbo |
| MMMU | 77.6 | 79.5 | 1.9 | DeepSeek-R1 |
| Arena Elo | 1458.8 | 1454.1 | 4.7 | 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 DeepSeek-R1 costs about $10.68. DeepSeek-R1 is roughly 61% 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.
Claude 3.7 Sonnet Turbo has the larger context window at 200,000 tokens, compared with 128,000 for DeepSeek-R1. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Claude 3.7 Sonnet Turbo wins 6, DeepSeek-R1 wins 6, and 0 are tied. On the index average, DeepSeek-R1 leads Claude 3.7 Sonnet Turbo by 0.5 points (82.8 versus 82.3).
The price picture favours DeepSeek-R1. The context picture favours Claude 3.7 Sonnet Turbo. 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 DeepSeek-R1 for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Claude 3.7 Sonnet Turbo if
- You need the larger 200,000-token context window.
- You need the larger 16,384-token output limit.
Choose DeepSeek-R1 if
- You want the higher average benchmark score in this index.
- Unit cost matters and you want the cheaper blended price.
- You need open weights for self-hosting or fine-tuning.
FAQ
Is Claude 3.7 Sonnet Turbo better than DeepSeek-R1?
On the index average, DeepSeek-R1 leads Claude 3.7 Sonnet Turbo by 0.5 points (82.8 versus 82.3). The better choice depends on price, context and your task. Claude 3.7 Sonnet Turbo wins 6 benchmarks, DeepSeek-R1 wins 6.
Which is cheaper, Claude 3.7 Sonnet Turbo or DeepSeek-R1?
DeepSeek-R1 is cheaper on a blended 3:1 basis at about $10.68 per million tokens, versus $27.61 for Claude 3.7 Sonnet Turbo.
Which has the larger context window?
Claude 3.7 Sonnet Turbo has the larger context window at 200,000 tokens. DeepSeek-R1 has 128,000 tokens.
Are these models open weights?
Claude 3.7 Sonnet Turbo is proprietary; DeepSeek-R1 is open weights.
Which should I choose for production?
If you need a single default, start with DeepSeek-R1 for quality-sensitive work, and check whether its price holds at your expected volume before committing.