GPT-5.2 Vision vs Qwen3-Max Pro: which model should you choose?
We compared GPT-5.2 Vision and Qwen3-Max Pro on price, context window and 12 benchmarks. GPT-5.2 Vision has the stronger average benchmark score; Qwen3-Max Pro is cheaper on a blended 3:1 basis.
GPT-5.2 Vision
GPT-5.2 Vision is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $19.03 per million input tokens and $85.72 per million output tokens, and averages 87.4 across the index's benchmark suite.
- Input
- $19.03 / 1M
- Output
- $85.72 / 1M
- Context
- 1,000,000
- Avg score
- 87.4
- 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 | GPT-5.2 Vision | Qwen3-Max Pro | Edge |
|---|---|---|---|
| Input price / 1M | $19.03 | $18.87 | B |
| Output price / 1M | $85.72 | $84.39 | B |
| Context window | 1,000,000 | 400,000 | A |
| Max output | 16,384 | 8,192 | A |
| Average score | 87.4 | 86.2 | A |
| Arena Elo | 1484.3 | 1466.4 | A |
| Open weights | No | No | Tie |
Benchmark comparison
GPT-5.2 Vision wins 10, Qwen3-Max Pro wins 2, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | GPT-5.2 Vision | Qwen3-Max Pro | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 89.5 | 88.7 | 0.8 | GPT-5.2 Vision |
| GPQA Diamond | 82.1 | 80.0 | 2.1 | GPT-5.2 Vision |
| SWE-bench Verified | 78.8 | 75.6 | 3.2 | GPT-5.2 Vision |
| HumanEval | 91.2 | 92.1 | 0.9 | Qwen3-Max Pro |
| MATH-500 | 92.9 | 91.8 | 1.1 | GPT-5.2 Vision |
| AIME 2025 | 85.7 | 85.4 | 0.3 | GPT-5.2 Vision |
| LiveCodeBench | 83.4 | 81.0 | 2.4 | GPT-5.2 Vision |
| IFEval | 93.9 | 93.2 | 0.7 | GPT-5.2 Vision |
| TruthfulQA | 85.3 | 88.6 | 3.3 | Qwen3-Max Pro |
| HellaSwag | 94.6 | 92.4 | 2.2 | GPT-5.2 Vision |
| MMMU | 84.4 | 79.5 | 4.9 | GPT-5.2 Vision |
| Arena Elo | 1484.3 | 1466.4 | 17.9 | GPT-5.2 Vision |
Price analysis
On a blended 3:1 input-to-output basis, GPT-5.2 Vision costs about $35.70 per million tokens and Qwen3-Max Pro costs about $35.25. Qwen3-Max Pro is roughly 1% cheaper than GPT-5.2 Vision. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
GPT-5.2 Vision has the larger context window at 1,000,000 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, GPT-5.2 Vision wins 10, Qwen3-Max Pro wins 2, and 0 are tied. On the index average, GPT-5.2 Vision leads Qwen3-Max Pro by 1.2 points (87.4 versus 86.2).
The price picture favours Qwen3-Max Pro. The context picture favours GPT-5.2 Vision. 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 GPT-5.2 Vision for quality-sensitive work and Qwen3-Max Pro for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose GPT-5.2 Vision if
- You want the higher average benchmark score in this index.
- You need the larger 1,000,000-token context window.
- You need the larger 16,384-token output limit.
Choose Qwen3-Max Pro if
- Unit cost matters and you want the cheaper blended price.
FAQ
Is GPT-5.2 Vision better than Qwen3-Max Pro?
On the index average, GPT-5.2 Vision leads Qwen3-Max Pro by 1.2 points (87.4 versus 86.2). The better choice depends on price, context and your task. GPT-5.2 Vision wins 10 benchmarks, Qwen3-Max Pro wins 2.
Which is cheaper, GPT-5.2 Vision or Qwen3-Max Pro?
Qwen3-Max Pro is cheaper on a blended 3:1 basis at about $35.25 per million tokens, versus $35.70 for GPT-5.2 Vision.
Which has the larger context window?
GPT-5.2 Vision has the larger context window at 1,000,000 tokens. Qwen3-Max Pro has 400,000 tokens.
Are these models open weights?
GPT-5.2 Vision is proprietary; Qwen3-Max Pro is proprietary.
Which should I choose for production?
If you need a single default, start with GPT-5.2 Vision for quality-sensitive work and Qwen3-Max Pro for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.