Qwen3-Max Pro vs Qwen3-Max Reasoning: which model should you choose?
We compared Qwen3-Max Pro and Qwen3-Max Reasoning on price, context window and 12 benchmarks. Qwen3-Max Pro has the stronger average benchmark score; Qwen3-Max Reasoning is cheaper on a blended 3:1 basis.
Qwen3-Max Pro
Qwen3-Max Pro is a frontier model from Alibaba Cloud. It offers a 400,000-token context window, costs $18.87 per million input tokens and $84.39 per million output tokens, and averages 86.2 across the index's benchmark suite.
- Input
- $18.87 / 1M
- Output
- $84.39 / 1M
- Context
- 400,000
- Avg score
- 86.2
- Open weights
- No
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
Specification comparison
| Spec | Qwen3-Max Pro | Qwen3-Max Reasoning | Edge |
|---|---|---|---|
| Input price / 1M | $18.87 | $18.12 | B |
| Output price / 1M | $84.39 | $81.94 | B |
| Context window | 400,000 | 2,000,000 | B |
| Max output | 8,192 | 8,192 | Tie |
| Average score | 86.2 | 85.9 | A |
| Arena Elo | 1466.4 | 1461.0 | A |
| Open weights | No | No | Tie |
Benchmark comparison
Qwen3-Max Pro wins 8, Qwen3-Max Reasoning wins 4, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Qwen3-Max Pro | Qwen3-Max Reasoning | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 88.7 | 88.1 | 0.6 | Qwen3-Max Pro |
| GPQA Diamond | 80.0 | 79.8 | 0.2 | Qwen3-Max Pro |
| SWE-bench Verified | 75.6 | 75.3 | 0.3 | Qwen3-Max Pro |
| HumanEval | 92.1 | 92.6 | 0.5 | Qwen3-Max Reasoning |
| MATH-500 | 91.8 | 93.0 | 1.2 | Qwen3-Max Reasoning |
| AIME 2025 | 85.4 | 83.1 | 2.3 | Qwen3-Max Pro |
| LiveCodeBench | 81.0 | 78.0 | 3.0 | Qwen3-Max Pro |
| IFEval | 93.2 | 92.2 | 1.0 | Qwen3-Max Pro |
| TruthfulQA | 88.6 | 88.8 | 0.2 | Qwen3-Max Reasoning |
| HellaSwag | 92.4 | 91.5 | 0.9 | Qwen3-Max Pro |
| MMMU | 79.5 | 82.3 | 2.8 | Qwen3-Max Reasoning |
| Arena Elo | 1466.4 | 1461.0 | 5.4 | Qwen3-Max Pro |
Price analysis
On a blended 3:1 input-to-output basis, Qwen3-Max Pro costs about $35.25 per million tokens and Qwen3-Max Reasoning costs about $34.08. Qwen3-Max Reasoning is roughly 3% cheaper than Qwen3-Max Pro. 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 400,000 for Qwen3-Max Pro. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Qwen3-Max Pro wins 8, Qwen3-Max Reasoning wins 4, and 0 are tied. On the index average, Qwen3-Max Pro leads Qwen3-Max Reasoning by 0.3 points (86.2 versus 85.9).
The price picture favours Qwen3-Max Reasoning. 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 Pro for quality-sensitive work and Qwen3-Max Reasoning for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Qwen3-Max Pro if
- You want the higher average benchmark score in this index.
Choose Qwen3-Max Reasoning if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 2,000,000-token context window.
FAQ
Is Qwen3-Max Pro better than Qwen3-Max Reasoning?
On the index average, Qwen3-Max Pro leads Qwen3-Max Reasoning by 0.3 points (86.2 versus 85.9). The better choice depends on price, context and your task. Qwen3-Max Pro wins 8 benchmarks, Qwen3-Max Reasoning wins 4.
Which is cheaper, Qwen3-Max Pro or Qwen3-Max Reasoning?
Qwen3-Max Reasoning is cheaper on a blended 3:1 basis at about $34.08 per million tokens, versus $35.25 for Qwen3-Max Pro.
Which has the larger context window?
Qwen3-Max Reasoning has the larger context window at 2,000,000 tokens. Qwen3-Max Pro has 400,000 tokens.
Are these models open weights?
Qwen3-Max Pro is proprietary; Qwen3-Max Reasoning is proprietary.
Which should I choose for production?
If you need a single default, start with Qwen3-Max Pro for quality-sensitive work and Qwen3-Max Reasoning for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.