Qwen3-Max Reasoning vs Qwen3-Max Turbo: which model should you choose?
We compared Qwen3-Max Reasoning and Qwen3-Max Turbo on price, context window and 12 benchmarks. Qwen3-Max Reasoning has the stronger average benchmark score; Qwen3-Max Turbo is cheaper on a blended 3:1 basis.
Qwen3-Max Reasoning
Qwen3-Max Reasoning is a frontier model from Alibaba Cloud. It offers a 2,000,000-token context window, costs $18.12 per million input tokens and $81.94 per million output tokens, and averages 85.9 across the index's benchmark suite.
- Input
- $18.12 / 1M
- Output
- $81.94 / 1M
- Context
- 2,000,000
- Avg score
- 85.9
- Open weights
- No
Qwen3-Max Turbo
Qwen3-Max Turbo is a frontier model from Alibaba Cloud. It offers a 1,000,000-token context window, costs $17.70 per million input tokens and $63.95 per million output tokens, and averages 84.7 across the index's benchmark suite.
- Input
- $17.70 / 1M
- Output
- $63.95 / 1M
- Context
- 1,000,000
- Avg score
- 84.7
- Open weights
- No
Specification comparison
| Spec | Qwen3-Max Reasoning | Qwen3-Max Turbo | Edge |
|---|---|---|---|
| Input price / 1M | $18.12 | $17.70 | B |
| Output price / 1M | $81.94 | $63.95 | B |
| Context window | 2,000,000 | 1,000,000 | A |
| Max output | 8,192 | 128,000 | B |
| Average score | 85.9 | 84.7 | A |
| Arena Elo | 1461.0 | 1456.9 | A |
| Open weights | No | No | Tie |
Benchmark comparison
Qwen3-Max Reasoning wins 11, Qwen3-Max Turbo wins 1, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Qwen3-Max Reasoning | Qwen3-Max Turbo | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 88.1 | 86.8 | 1.3 | Qwen3-Max Reasoning |
| GPQA Diamond | 79.8 | 78.3 | 1.5 | Qwen3-Max Reasoning |
| SWE-bench Verified | 75.3 | 75.9 | 0.6 | Qwen3-Max Turbo |
| HumanEval | 92.6 | 92.5 | 0.1 | Qwen3-Max Reasoning |
| MATH-500 | 93.0 | 91.9 | 1.1 | Qwen3-Max Reasoning |
| AIME 2025 | 83.1 | 81.2 | 1.9 | Qwen3-Max Reasoning |
| LiveCodeBench | 78.0 | 76.8 | 1.2 | Qwen3-Max Reasoning |
| IFEval | 92.2 | 92.1 | 0.1 | Qwen3-Max Reasoning |
| TruthfulQA | 88.8 | 86.3 | 2.5 | Qwen3-Max Reasoning |
| HellaSwag | 91.5 | 90.8 | 0.7 | Qwen3-Max Reasoning |
| MMMU | 82.3 | 78.8 | 3.5 | Qwen3-Max Reasoning |
| Arena Elo | 1461.0 | 1456.9 | 4.1 | Qwen3-Max Reasoning |
Price analysis
On a blended 3:1 input-to-output basis, Qwen3-Max Reasoning costs about $34.08 per million tokens and Qwen3-Max Turbo costs about $29.26. Qwen3-Max Turbo is roughly 14% cheaper than Qwen3-Max Reasoning. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Qwen3-Max Reasoning has the larger context window at 2,000,000 tokens, compared with 1,000,000 for Qwen3-Max Turbo. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Qwen3-Max Reasoning wins 11, Qwen3-Max Turbo wins 1, and 0 are tied. On the index average, Qwen3-Max Reasoning leads Qwen3-Max Turbo by 1.2 points (85.9 versus 84.7).
The price picture favours Qwen3-Max Turbo. The context picture favours Qwen3-Max Reasoning. 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 Reasoning for quality-sensitive work and Qwen3-Max Turbo for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Qwen3-Max Reasoning if
- You want the higher average benchmark score in this index.
- You need the larger 2,000,000-token context window.
Choose Qwen3-Max Turbo if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 128,000-token output limit.
FAQ
Is Qwen3-Max Reasoning better than Qwen3-Max Turbo?
On the index average, Qwen3-Max Reasoning leads Qwen3-Max Turbo by 1.2 points (85.9 versus 84.7). The better choice depends on price, context and your task. Qwen3-Max Reasoning wins 11 benchmarks, Qwen3-Max Turbo wins 1.
Which is cheaper, Qwen3-Max Reasoning or Qwen3-Max Turbo?
Qwen3-Max Turbo is cheaper on a blended 3:1 basis at about $29.26 per million tokens, versus $34.08 for Qwen3-Max Reasoning.
Which has the larger context window?
Qwen3-Max Reasoning has the larger context window at 2,000,000 tokens. Qwen3-Max Turbo has 1,000,000 tokens.
Are these models open weights?
Qwen3-Max Reasoning is proprietary; Qwen3-Max Turbo is proprietary.
Which should I choose for production?
If you need a single default, start with Qwen3-Max Reasoning for quality-sensitive work and Qwen3-Max Turbo for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.