Gemini 3 Pro vs Qwen3-Max Pro: which model should you choose?
We compared Gemini 3 Pro and Qwen3-Max Pro on price, context window and 12 benchmarks. Qwen3-Max Pro has the stronger average benchmark score; Gemini 3 Pro is cheaper on a blended 3:1 basis.
Gemini 3 Pro
Gemini 3 Pro is a frontier model from Google DeepMind. It offers a 2,000,000-token context window, costs $18.24 per million input tokens and $82.93 per million output tokens, and averages 86.1 across the index's benchmark suite.
- Input
- $18.24 / 1M
- Output
- $82.93 / 1M
- Context
- 2,000,000
- Avg score
- 86.1
- 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 | Gemini 3 Pro | Qwen3-Max Pro | Edge |
|---|---|---|---|
| Input price / 1M | $18.24 | $18.87 | A |
| Output price / 1M | $82.93 | $84.39 | A |
| Context window | 2,000,000 | 400,000 | A |
| Max output | 8,192 | 8,192 | Tie |
| Average score | 86.1 | 86.2 | B |
| Arena Elo | 1460.7 | 1466.4 | B |
| Open weights | No | No | Tie |
Benchmark comparison
Gemini 3 Pro wins 4, Qwen3-Max Pro wins 8, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Gemini 3 Pro | Qwen3-Max Pro | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 88.2 | 88.7 | 0.5 | Qwen3-Max Pro |
| GPQA Diamond | 79.0 | 80.0 | 1.0 | Qwen3-Max Pro |
| SWE-bench Verified | 78.5 | 75.6 | 2.9 | Gemini 3 Pro |
| HumanEval | 91.8 | 92.1 | 0.3 | Qwen3-Max Pro |
| MATH-500 | 89.9 | 91.8 | 1.9 | Qwen3-Max Pro |
| AIME 2025 | 84.3 | 85.4 | 1.1 | Qwen3-Max Pro |
| LiveCodeBench | 83.3 | 81.0 | 2.3 | Gemini 3 Pro |
| IFEval | 93.7 | 93.2 | 0.5 | Gemini 3 Pro |
| TruthfulQA | 88.8 | 88.6 | 0.2 | Gemini 3 Pro |
| HellaSwag | 91.3 | 92.4 | 1.1 | Qwen3-Max Pro |
| MMMU | 78.6 | 79.5 | 0.9 | Qwen3-Max Pro |
| Arena Elo | 1460.7 | 1466.4 | 5.7 | Qwen3-Max Pro |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 3 Pro costs about $34.41 per million tokens and Qwen3-Max Pro costs about $35.25. Gemini 3 Pro is roughly 2% cheaper than Qwen3-Max Pro. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Gemini 3 Pro 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, Gemini 3 Pro wins 4, Qwen3-Max Pro wins 8, and 0 are tied. On the index average, Qwen3-Max Pro leads Gemini 3 Pro by 0.1 points (86.2 versus 86.1).
The price picture favours Gemini 3 Pro. The context picture favours Gemini 3 Pro. 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 Gemini 3 Pro for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Gemini 3 Pro if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 2,000,000-token context window.
Choose Qwen3-Max Pro if
- You want the higher average benchmark score in this index.
FAQ
Is Gemini 3 Pro better than Qwen3-Max Pro?
On the index average, Qwen3-Max Pro leads Gemini 3 Pro by 0.1 points (86.2 versus 86.1). The better choice depends on price, context and your task. Gemini 3 Pro wins 4 benchmarks, Qwen3-Max Pro wins 8.
Which is cheaper, Gemini 3 Pro or Qwen3-Max Pro?
Gemini 3 Pro is cheaper on a blended 3:1 basis at about $34.41 per million tokens, versus $35.25 for Qwen3-Max Pro.
Which has the larger context window?
Gemini 3 Pro has the larger context window at 2,000,000 tokens. Qwen3-Max Pro has 400,000 tokens.
Are these models open weights?
Gemini 3 Pro 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 Gemini 3 Pro for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.