Model comparison
Mistral Small 3.2 vs Qwen1.5-32B
Mistral Small 3.2 and Qwen1.5-32B score almost the same on the Noometry Index (30.8 vs 30.0), so choose on price, context window or the category you care about most.
Last verified . 1 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Mistral Small 3.2 scores higher in 2 categories and Qwen1.5-32B in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Small 3.2 leads 26.8 to 13.5.
- The biggest single-benchmark swing is GPQA Diamond: 49.1% for Mistral Small 3.2 and 30.7% for Qwen1.5-32B.
Side by side
| Mistral Small 3.2 | Qwen1.5-32B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 30.8 | 30.0 |
| Released | 2025-06-20 | 2024-02-04 |
| Weights | Open | Open |
| Context window | 256K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.0938 | — |
| Output $ / M tokens | $0.25 | — |
| Results tracked | 6 | 21 |
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Category by category
Coding Not comparable
Mistral Small 3.2: —, Qwen1.5-32B: 31.1 (#278)
| Benchmark | Mistral Small 3.2 | Qwen1.5-32B |
|---|---|---|
| BigCodeBench Instruct | — | 32.3% |
| LMArena Coding | — | 1155 |
| BigCodeBench Complete | — | 42% |
Reasoning Qwen1.5-32B leads
Mistral Small 3.2: 17.5 (#282), Qwen1.5-32B: 20.9 (#210)
| Benchmark | Mistral Small 3.2 | Qwen1.5-32B |
|---|---|---|
| Kagi LLM Benchmark | 40.4% | — |
| Chess Puzzles | 1% | — |
| LMArena Hard Prompts | — | 1131 |
| Epoch Capabilities Index | 131.73 | — |
Math Qwen1.5-32B leads
Mistral Small 3.2: 24.9 (#251), Qwen1.5-32B: 30.5 (#207)
| Benchmark | Mistral Small 3.2 | Qwen1.5-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | — |
| LMArena Math | — | 1155 |
Knowledge Mistral Small 3.2 leads
Mistral Small 3.2: 26.8 (#249), Qwen1.5-32B: 13.5 (#291)
| Benchmark | Mistral Small 3.2 | Qwen1.5-32B |
|---|---|---|
| GPQA Diamond | 49.1% | 30.7% |
| LMArena Expert | — | 1126 |
| MMLU | — | 74.4% |
Multilingual Not comparable
Mistral Small 3.2: —, Qwen1.5-32B: 31.6 (#254)
| Benchmark | Mistral Small 3.2 | Qwen1.5-32B |
|---|---|---|
| LMArena Non-English | — | 1106 |
| LMArena Chinese | — | 1176 |
| LMArena French | — | 1100 |
| LMArena German | — | 1058 |
| LMArena Japanese | — | 1027 |
| LMArena Korean | — | 1007 |
| LMArena Russian | — | 1073 |
| LMArena Spanish | — | 1089 |
Instruction Following Not comparable
Mistral Small 3.2: —, Qwen1.5-32B: 58.0 (#260)
| Benchmark | Mistral Small 3.2 | Qwen1.5-32B |
|---|---|---|
| LMArena Instruction Following | — | 1116 |
Long Context Not comparable
Mistral Small 3.2: —, Qwen1.5-32B: 34.7 (#241)
| Benchmark | Mistral Small 3.2 | Qwen1.5-32B |
|---|---|---|
| LMArena Longer Query | — | 1146 |
Writing & Preference Mistral Small 3.2 leads
Mistral Small 3.2: 45.1 (#219), Qwen1.5-32B: 34.4 (#266)
| Benchmark | Mistral Small 3.2 | Qwen1.5-32B |
|---|---|---|
| LMArena Text | — | 1137 |
| LMArena Creative Writing | — | 1083 |
| EQ-Bench Creative Writing | 1255 | — |
| LMArena Multi-Turn | — | 1140 |
Frequently asked questions
Is Mistral Small 3.2 better than Qwen1.5-32B?
Mistral Small 3.2 and Qwen1.5-32B score almost the same on the Noometry Index (30.8 vs 30.0), so choose on price, context window or the category you care about most.
How many benchmarks do Mistral Small 3.2 and Qwen1.5-32B share?
1 benchmark has published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Qwen1.5-32B has 21.