Qwen3.7 Max vs Mistral Large 3 2512
Qwen3.7 Max vs Mistral Large 3 2512: which AI model is cheaper, has the larger context window and more capabilities? Side-by-side comparison updated daily.
Quick verdict
- Mistral Large 3 2512 is 2.9× cheaper than Qwen3.7 Max for the same mix of input and output tokens.
- Qwen3.7 Max has the larger context window (1M), useful for long documents and big codebases.
- Qwen3.7 Max is the more recent release (May 21, 2026).
- Only Qwen3.7 Max supports extended reasoning.
- Only Mistral Large 3 2512 accepts images as input.
- Qwen3.7 Max scores higher on independent tests (overall index 153.7 vs 122.0).
- Choose Mistral Large 3 2512 if cost matters most; choose Qwen3.7 Max if you need its specific strengths above. For the best results, test both on your own prompts.
| Qwen3.7 Max | Mistral Large 3 2512 | |
|---|---|---|
| Company | Alibaba Qwen | Mistral AI |
| Released | May 21, 2026 ● | Dec 1, 2025 |
| Overall index | 153.7 ● | 122.0 |
| SWE-bench Verified | 77.3% | — |
| GPQA Diamond | 90.9% ● | 51.3% |
| AIME math | 95.6% ● | 8.5% |
| FrontierMath | 64.6% | — |
| SimpleQA Verified | 55.8% | — |
| Input (per 1M tokens) | $1.48 | $0.50 ● |
| Output (per 1M tokens) | $4.43 | $1.50 ● |
| Cost for 1M input + 1M output tokens | $5.90 | $2.00 ● |
| Providers | 1 | 2 ● |
| Context | 1M ● | 256K |
| Max output | 128K | 210K ● |
| Inputs | Text | Text, Image, Files ● |
| Outputs | Text | Text |
| Reasoning | ✓ | — |
| Tool use | ✓ | ✓ |
| Structured output | ✓ | ✓ |
| Open weights | — | — |
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