Model comparison
Mistral Small 3.2 vs Qwen3.7 Flash
Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 30.8 on the Noometry Index.
Last verified . 4 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. Mistral Small 3.2 scores higher in 0 categories and Qwen3.7 Flash in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Flash leads 48.9 to 26.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 30.3% for Mistral Small 3.2 and 86.7% for Qwen3.7 Flash.
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.0938 / $0.25 for Mistral Small 3.2.
- Qwen3.7 Flash accepts more context: 1M tokens versus 256K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.
Side by side
| Mistral Small 3.2 | Qwen3.7 Flash | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 30.8 | 39.5 |
| Released | 2025-06-20 | 2026-07-15 |
| Weights | Open | Proprietary |
| Context window | 256K | 1M |
| Max output | 16K | 131K |
| Input $ / M tokens | $0.0938 | $0.03 |
| Output $ / M tokens | $0.25 | $0.13 |
| Results tracked | 6 | 7 |
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Category by category
Reasoning Qwen3.7 Flash leads
Mistral Small 3.2: 17.5 (#282), Qwen3.7 Flash: 27.3 (#108)
| Benchmark | Mistral Small 3.2 | Qwen3.7 Flash |
|---|---|---|
| Chess Puzzles | 1% | 23% |
| Epoch Capabilities Index | 131.73 | 144.62 |
| Kagi LLM Benchmark | 40.4% | — |
| NYT Connections (extended) | — | 43.8% |
| Mystery Game Puzzles | — | 15% |
Math Qwen3.7 Flash leads
Mistral Small 3.2: 24.9 (#251), Qwen3.7 Flash: 37.3 (#100)
| Benchmark | Mistral Small 3.2 | Qwen3.7 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | 86.7% |
| FrontierMath (Tiers 1-3) | — | 19.3% |
Knowledge Qwen3.7 Flash leads
Mistral Small 3.2: 26.8 (#249), Qwen3.7 Flash: 48.9 (#69)
| Benchmark | Mistral Small 3.2 | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | 49.1% | 82.3% |
Writing & Preference Not comparable
Mistral Small 3.2: 45.1 (#219), Qwen3.7 Flash: —
| Benchmark | Mistral Small 3.2 | Qwen3.7 Flash |
|---|---|---|
| EQ-Bench Creative Writing | 1255 | — |
Frequently asked questions
Is Mistral Small 3.2 better than Qwen3.7 Flash?
Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 30.8 on the Noometry Index.
Which is cheaper, Mistral Small 3.2 or Qwen3.7 Flash?
Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; Mistral Small 3.2 lists at $0.0938 and $0.25.
Which has the bigger context window?
Qwen3.7 Flash does, with 1M tokens against 256K.
How many benchmarks do Mistral Small 3.2 and Qwen3.7 Flash share?
4 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Qwen3.7 Flash has 7.