Claude 3.7 Sonnet Max vs Qwen3-Max: which model should you choose?
We compared Claude 3.7 Sonnet Max and Qwen3-Max on price, context window and 12 benchmarks. Qwen3-Max has the stronger average benchmark score; Claude 3.7 Sonnet Max 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
Qwen3-Max
Qwen3-Max is a frontier model from Alibaba Cloud. It offers a 400,000-token context window, costs $17.37 per million input tokens and $94.30 per million output tokens, and averages 84.4 across the index's benchmark suite.
- Input
- $17.37 / 1M
- Output
- $94.30 / 1M
- Context
- 400,000
- Avg score
- 84.4
- Open weights
- No
Specification comparison
| Spec | Claude 3.7 Sonnet Max | Qwen3-Max | Edge |
|---|---|---|---|
| Input price / 1M | $16.88 | $17.37 | A |
| Output price / 1M | $83.20 | $94.30 | A |
| Context window | 128,000 | 400,000 | B |
| Max output | 32,768 | 4,096 | A |
| Average score | 83.7 | 84.4 | B |
| Arena Elo | 1461.6 | 1449.2 | A |
| Open weights | No | No | Tie |
Benchmark comparison
Claude 3.7 Sonnet Max wins 6, Qwen3-Max wins 6, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Claude 3.7 Sonnet Max | Qwen3-Max | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 86.0 | 84.0 | 2.0 | Claude 3.7 Sonnet Max |
| GPQA Diamond | 76.8 | 82.3 | 5.5 | Qwen3-Max |
| SWE-bench Verified | 76.1 | 73.3 | 2.8 | Claude 3.7 Sonnet Max |
| HumanEval | 90.9 | 88.5 | 2.4 | Claude 3.7 Sonnet Max |
| MATH-500 | 87.2 | 89.7 | 2.5 | Qwen3-Max |
| AIME 2025 | 80.7 | 81.1 | 0.4 | Qwen3-Max |
| LiveCodeBench | 78.1 | 82.2 | 4.1 | Qwen3-Max |
| IFEval | 90.0 | 92.5 | 2.5 | Qwen3-Max |
| TruthfulQA | 84.7 | 83.4 | 1.3 | Claude 3.7 Sonnet Max |
| HellaSwag | 91.2 | 92.9 | 1.7 | Qwen3-Max |
| MMMU | 78.8 | 78.7 | 0.1 | Claude 3.7 Sonnet Max |
| Arena Elo | 1461.6 | 1449.2 | 12.4 | Claude 3.7 Sonnet Max |
Price analysis
On a blended 3:1 input-to-output basis, Claude 3.7 Sonnet Max costs about $33.46 per million tokens and Qwen3-Max costs about $36.60. Claude 3.7 Sonnet Max is roughly 9% cheaper than Qwen3-Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Qwen3-Max has the larger context window at 400,000 tokens, compared with 128,000 for Claude 3.7 Sonnet Max. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Claude 3.7 Sonnet Max wins 6, Qwen3-Max wins 6, and 0 are tied. On the index average, Qwen3-Max leads Claude 3.7 Sonnet Max by 0.7 points (84.4 versus 83.7).
The price picture favours Claude 3.7 Sonnet Max. The context picture favours Qwen3-Max. 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 Qwen3-Max for quality-sensitive work and Claude 3.7 Sonnet Max 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 Max if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 32,768-token output limit.
Choose Qwen3-Max if
- You want the higher average benchmark score in this index.
- You need the larger 400,000-token context window.
FAQ
Is Claude 3.7 Sonnet Max better than Qwen3-Max?
On the index average, Qwen3-Max leads Claude 3.7 Sonnet Max by 0.7 points (84.4 versus 83.7). The better choice depends on price, context and your task. Claude 3.7 Sonnet Max wins 6 benchmarks, Qwen3-Max wins 6.
Which is cheaper, Claude 3.7 Sonnet Max or Qwen3-Max?
Claude 3.7 Sonnet Max is cheaper on a blended 3:1 basis at about $33.46 per million tokens, versus $36.60 for Qwen3-Max.
Which has the larger context window?
Qwen3-Max has the larger context window at 400,000 tokens. Claude 3.7 Sonnet Max has 128,000 tokens.
Are these models open weights?
Claude 3.7 Sonnet Max is proprietary; Qwen3-Max is proprietary.
Which should I choose for production?
If you need a single default, start with Qwen3-Max for quality-sensitive work and Claude 3.7 Sonnet Max for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.