Model comparison
Mistral Small 3.2 vs Qwen2.5-Max
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 31.2 on the Noometry Index.
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 0 categories and Qwen2.5-Max in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen2.5-Max leads 36.9 to 26.3.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.
Side by side
| Mistral Small 3.2 | Qwen2.5-Max | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.2 | 40.7 |
| Released | 2025-06-20 | 2025-01-25 |
| Weights | Open | Proprietary |
| Context window | 256K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.0938 | — |
| Output $ / M tokens | $0.25 | — |
| Results tracked | 6 | 27 |
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Category by category
Coding Not comparable
Mistral Small 3.2: —, Qwen2.5-Max: 41.8 (#117)
| Benchmark | Mistral Small 3.2 | Qwen2.5-Max |
|---|---|---|
| LiveBench Coding | — | 64.4% |
| LMArena Coding | — | 1359 |
Reasoning Qwen2.5-Max leads
Mistral Small 3.2: 18.1 (#287), Qwen2.5-Max: 25.6 (#147)
| Benchmark | Mistral Small 3.2 | Qwen2.5-Max |
|---|---|---|
| Epoch Capabilities Index | 131.74 | 132.53 |
| Kagi LLM Benchmark | 40.4% | — |
| Chess Puzzles | 1% | — |
| LiveBench Reasoning | — | 51.4% |
| LMArena Hard Prompts | — | 1360 |
| LiveBench Data Analysis | — | 67.9% |
| LiveBench | — | 62.3% |
Math Qwen2.5-Max leads
Mistral Small 3.2: 26.3 (#260), Qwen2.5-Max: 36.9 (#162)
| Benchmark | Mistral Small 3.2 | Qwen2.5-Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | — |
| LiveBench Math | — | 58.4% |
| LMArena Math | — | 1369 |
Knowledge Qwen2.5-Max leads
Mistral Small 3.2: 26.7 (#256), Qwen2.5-Max: 35.3 (#186)
| Benchmark | Mistral Small 3.2 | Qwen2.5-Max |
|---|---|---|
| GPQA Diamond | 49.1% | — |
| Confabulations | — | 21.8% |
| LMArena Expert | — | 1337 |
Multilingual Not comparable
Mistral Small 3.2: —, Qwen2.5-Max: 48.1 (#146)
| Benchmark | Mistral Small 3.2 | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | — | 1352 |
| LMArena Chinese | — | 1382 |
| LMArena French | — | 1396 |
| LMArena German | — | 1350 |
| LMArena Japanese | — | 1300 |
| LMArena Korean | — | 1304 |
| LMArena Russian | — | 1353 |
| LMArena Spanish | — | 1377 |
Instruction Following Not comparable
Mistral Small 3.2: —, Qwen2.5-Max: 71.3 (#152)
| Benchmark | Mistral Small 3.2 | Qwen2.5-Max |
|---|---|---|
| LiveBench Instruction Following | — | 75.3% |
| LMArena Instruction Following | — | 1335 |
Long Context Not comparable
Mistral Small 3.2: —, Qwen2.5-Max: 41.4 (#142)
| Benchmark | Mistral Small 3.2 | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | — | 1358 |
Writing & Preference Qwen2.5-Max leads
Mistral Small 3.2: 45.0 (#224), Qwen2.5-Max: 55.4 (#146)
| Benchmark | Mistral Small 3.2 | Qwen2.5-Max |
|---|---|---|
| LMArena Text | — | 1367 |
| LMArena Creative Writing | — | 1339 |
| Short-Story Creative Writing | — | 72.9% |
| EQ-Bench Creative Writing | 1255 | — |
| LMArena Multi-Turn | — | 1364 |
| LiveBench Language | — | 56.3% |
Frequently asked questions
Is Mistral Small 3.2 better than Qwen2.5-Max?
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 31.2 on the Noometry Index.
How many benchmarks do Mistral Small 3.2 and Qwen2.5-Max share?
1 benchmark has published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Qwen2.5-Max has 27.