Gemini 3 Pro vs Qwen3-Max Reasoning: which model should you choose?
We compared Gemini 3 Pro and Qwen3-Max Reasoning on price, context window and 12 benchmarks. Gemini 3 Pro has the stronger average benchmark score; Qwen3-Max Reasoning 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 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 | Gemini 3 Pro | Qwen3-Max Reasoning | Edge |
|---|---|---|---|
| Input price / 1M | $18.24 | $18.12 | B |
| Output price / 1M | $82.93 | $81.94 | B |
| Context window | 2,000,000 | 2,000,000 | Tie |
| Max output | 8,192 | 8,192 | Tie |
| Average score | 86.1 | 85.9 | A |
| Arena Elo | 1460.7 | 1461.0 | B |
| Open weights | No | No | Tie |
Benchmark comparison
Gemini 3 Pro wins 5, Qwen3-Max Reasoning wins 6, and 1 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Gemini 3 Pro | Qwen3-Max Reasoning | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 88.2 | 88.1 | 0.1 | Gemini 3 Pro |
| GPQA Diamond | 79.0 | 79.8 | 0.8 | Qwen3-Max Reasoning |
| SWE-bench Verified | 78.5 | 75.3 | 3.2 | Gemini 3 Pro |
| HumanEval | 91.8 | 92.6 | 0.8 | Qwen3-Max Reasoning |
| MATH-500 | 89.9 | 93.0 | 3.1 | Qwen3-Max Reasoning |
| AIME 2025 | 84.3 | 83.1 | 1.2 | Gemini 3 Pro |
| LiveCodeBench | 83.3 | 78.0 | 5.3 | Gemini 3 Pro |
| IFEval | 93.7 | 92.2 | 1.5 | Gemini 3 Pro |
| TruthfulQA | 88.8 | 88.8 | 0.0 | Tie |
| HellaSwag | 91.3 | 91.5 | 0.2 | Qwen3-Max Reasoning |
| MMMU | 78.6 | 82.3 | 3.7 | Qwen3-Max Reasoning |
| Arena Elo | 1460.7 | 1461.0 | 0.3 | Qwen3-Max Reasoning |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 3 Pro costs about $34.41 per million tokens and Qwen3-Max Reasoning costs about $34.08. Qwen3-Max Reasoning is roughly 1% cheaper than Gemini 3 Pro. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Both models list a 2,000,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Gemini 3 Pro wins 5, Qwen3-Max Reasoning wins 6, and 1 are tied. On the index average, Gemini 3 Pro leads Qwen3-Max Reasoning by 0.2 points (86.1 versus 85.9).
The price picture favours Qwen3-Max Reasoning. 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 Gemini 3 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 Gemini 3 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.
FAQ
Is Gemini 3 Pro better than Qwen3-Max Reasoning?
On the index average, Gemini 3 Pro leads Qwen3-Max Reasoning by 0.2 points (86.1 versus 85.9). The better choice depends on price, context and your task. Gemini 3 Pro wins 5 benchmarks, Qwen3-Max Reasoning wins 6.
Which is cheaper, Gemini 3 Pro or Qwen3-Max Reasoning?
Qwen3-Max Reasoning is cheaper on a blended 3:1 basis at about $34.08 per million tokens, versus $34.41 for Gemini 3 Pro.
Which has the larger context window?
Both models list a 2,000,000-token context window.
Are these models open weights?
Gemini 3 Pro is proprietary; Qwen3-Max Reasoning is proprietary.
Which should I choose for production?
If you need a single default, start with Gemini 3 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.