Qwen3-Max Max vs Qwen3-Max Pro: which model should you choose?
We compared Qwen3-Max Max and Qwen3-Max Pro on price, context window and 12 benchmarks. Qwen3-Max Pro has the stronger average benchmark score; Qwen3-Max Max is cheaper on a blended 3:1 basis.
Qwen3-Max Max
Qwen3-Max Max is a frontier model from Alibaba Cloud. It offers a 400,000-token context window, costs $18.53 per million input tokens and $74.05 per million output tokens, and averages 85.9 across the index's benchmark suite.
- Input
- $18.53 / 1M
- Output
- $74.05 / 1M
- Context
- 400,000
- Avg score
- 85.9
- Open weights
- No
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
Specification comparison
| Spec | Qwen3-Max Max | Qwen3-Max Pro | Edge |
|---|---|---|---|
| Input price / 1M | $18.53 | $18.87 | A |
| Output price / 1M | $74.05 | $84.39 | A |
| Context window | 400,000 | 400,000 | Tie |
| Max output | 65,536 | 8,192 | A |
| Average score | 85.9 | 86.2 | B |
| Arena Elo | 1467.7 | 1466.4 | A |
| Open weights | No | No | Tie |
Benchmark comparison
Qwen3-Max Max wins 6, Qwen3-Max Pro wins 6, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Qwen3-Max Max | Qwen3-Max Pro | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 85.2 | 88.7 | 3.5 | Qwen3-Max Pro |
| GPQA Diamond | 83.8 | 80.0 | 3.8 | Qwen3-Max Max |
| SWE-bench Verified | 74.3 | 75.6 | 1.3 | Qwen3-Max Pro |
| HumanEval | 90.2 | 92.1 | 1.9 | Qwen3-Max Pro |
| MATH-500 | 92.8 | 91.8 | 1.0 | Qwen3-Max Max |
| AIME 2025 | 82.7 | 85.4 | 2.7 | Qwen3-Max Pro |
| LiveCodeBench | 82.8 | 81.0 | 1.8 | Qwen3-Max Max |
| IFEval | 93.7 | 93.2 | 0.5 | Qwen3-Max Max |
| TruthfulQA | 89.3 | 88.6 | 0.7 | Qwen3-Max Max |
| HellaSwag | 91.4 | 92.4 | 1.0 | Qwen3-Max Pro |
| MMMU | 78.9 | 79.5 | 0.6 | Qwen3-Max Pro |
| Arena Elo | 1467.7 | 1466.4 | 1.3 | Qwen3-Max Max |
Price analysis
On a blended 3:1 input-to-output basis, Qwen3-Max Max costs about $32.41 per million tokens and Qwen3-Max Pro costs about $35.25. Qwen3-Max Max is roughly 8% cheaper than Qwen3-Max Pro. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Both models list a 400,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Qwen3-Max Max wins 6, Qwen3-Max Pro wins 6, and 0 are tied. On the index average, Qwen3-Max Pro leads Qwen3-Max Max by 0.3 points (86.2 versus 85.9).
The price picture favours Qwen3-Max Max. 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 Qwen3-Max Pro for quality-sensitive work and Qwen3-Max Max for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Qwen3-Max Max if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 65,536-token output limit.
Choose Qwen3-Max Pro if
- You want the higher average benchmark score in this index.
FAQ
Is Qwen3-Max Max better than Qwen3-Max Pro?
On the index average, Qwen3-Max Pro leads Qwen3-Max Max by 0.3 points (86.2 versus 85.9). The better choice depends on price, context and your task. Qwen3-Max Max wins 6 benchmarks, Qwen3-Max Pro wins 6.
Which is cheaper, Qwen3-Max Max or Qwen3-Max Pro?
Qwen3-Max Max is cheaper on a blended 3:1 basis at about $32.41 per million tokens, versus $35.25 for Qwen3-Max Pro.
Which has the larger context window?
Both models list a 400,000-token context window.
Are these models open weights?
Qwen3-Max Max is proprietary; Qwen3-Max Pro 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 Max for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.