Model comparison
Mistral Small 3.2 vs Qwen-7B
Mistral Small 3.2 has enough public results to be ranked (#271); Qwen-7B does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both.
Side by side
| Mistral Small 3.2 | Qwen-7B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 30.8 | — |
| Released | 2025-06-20 | 2023-09-28 |
| Weights | Open | Open |
| Context window | 256K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.0938 | — |
| Output $ / M tokens | $0.25 | — |
| Results tracked | 6 | 8 |
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Category by category
Reasoning Not comparable
Mistral Small 3.2: 17.5 (#282), Qwen-7B: —
| Benchmark | Mistral Small 3.2 | Qwen-7B |
|---|---|---|
| Epoch Capabilities Index | 131.73 | 106.47 |
| Kagi LLM Benchmark | 40.4% | — |
| Chess Puzzles | 1% | — |
| BIG-Bench Hard | — | 45% |
| LAMBADA | — | 67.9% |
| PIQA | — | 77.9% |
Math Not comparable
Mistral Small 3.2: 24.9 (#251), Qwen-7B: —
| Benchmark | Mistral Small 3.2 | Qwen-7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | — |
| GSM8K | — | 51.7% |
Knowledge Not comparable
Mistral Small 3.2: 26.8 (#249), Qwen-7B: —
| Benchmark | Mistral Small 3.2 | Qwen-7B |
|---|---|---|
| GPQA Diamond | 49.1% | — |
| ARC (AI2) Challenge | — | 75.3% |
| BoolQ | — | 76.4% |
| MMLU | — | 45% |
Writing & Preference Not comparable
Mistral Small 3.2: 45.1 (#219), Qwen-7B: —
| Benchmark | Mistral Small 3.2 | Qwen-7B |
|---|---|---|
| EQ-Bench Creative Writing | 1255 | — |
Frequently asked questions
Is Mistral Small 3.2 better than Qwen-7B?
Mistral Small 3.2 has enough public results to be ranked (#271); Qwen-7B does not yet, so treat this comparison as directional.
How many benchmarks do Mistral Small 3.2 and Qwen-7B share?
1 benchmark has published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Qwen-7B has 8.