Model comparison
Mistral vs Qwen3 32B
Qwen3 32B is the stronger model overall, scoring 38.8 to 29.4 on the Noometry Index.
Last verified . 13 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Mistral scores higher in 1 category and Qwen3 32B in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 32B leads 40.0 to 16.3.
- Qwen3 32B has downloadable open weights; the other is API-only.
Side by side
| Mistral | Qwen3 32B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.4 | 38.8 |
| Released | — | 2025-04 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 22 | 26 |
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Category by category
Coding Qwen3 32B leads
Mistral: 33.2 (#249), Qwen3 32B: 37.3 (#184)
| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| LMArena Coding | 1162 | 1358 |
| Aider Polyglot | — | 40% |
| SciCode | — | 35.4% |
Agentic & Tool Use Not comparable
Mistral: —, Qwen3 32B: 32.3 (#58)
| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |
Reasoning Mistral leads
Mistral: 21.3 (#199), Qwen3 32B: 19.6 (#233)
| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| LMArena Hard Prompts | 1149 | 1335 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 5% |
| DTBench | — | 67.5% |
| LMCA | — | 17.3% |
| Epoch Capabilities Index | — | 138.51 |
Math Qwen3 32B leads
Mistral: 20.5 (#275), Qwen3 32B: 37.9 (#89)
| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| LMArena Math | 1180 | 1399 |
| OTIS Mock AIME 2024-2025 | — | 66.9% |
| Omni-MATH | 7.2% | — |
Knowledge Qwen3 32B leads
Mistral: 16.3 (#283), Qwen3 32B: 40.0 (#112)
| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| LMArena Expert | 1125 | 1362 |
| GPQA Diamond | — | 65.7% |
| MMLU-Pro | 27.7% | — |
| Vectara Hallucination Rate | — | 5.9% |
| GPQA (HELM) | 30.3% | — |
Multilingual Qwen3 32B leads
Mistral: 33.0 (#249), Qwen3 32B: 45.8 (#162)
| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1129 | 1317 |
| LMArena Chinese | 1109 | 1357 |
| LMArena German | 1155 | 1341 |
| LMArena Russian | 1168 | 1311 |
| LMArena French | 1179 | — |
| LMArena Japanese | 1012 | — |
| LMArena Korean | 1032 | — |
| LMArena Spanish | 1143 | — |
Instruction Following Qwen3 32B leads
Mistral: 52.9 (#283), Qwen3 32B: 69.1 (#174)
| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1152 | 1305 |
| IFEval | 56.8% | — |
Long Context Qwen3 32B leads
Mistral: 35.0 (#240), Qwen3 32B: 43.7 (#83)
| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1154 | 1327 |
| Fiction.LiveBench | — | 74.2% |
Writing & Preference Qwen3 32B leads
Mistral: 37.2 (#255), Qwen3 32B: 53.1 (#158)
| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| LMArena Text | 1165 | 1340 |
| LMArena Creative Writing | 1158 | 1297 |
| LMArena Multi-Turn | 1147 | 1331 |
| WildBench | 66% | — |
Frequently asked questions
Is Mistral better than Qwen3 32B?
Qwen3 32B is the stronger model overall, scoring 38.8 to 29.4 on the Noometry Index.
Is Mistral or Qwen3 32B better for coding?
Qwen3 32B scores higher on coding benchmarks: 37.3 versus 33.2 in the Noometry coding category.
How many benchmarks do Mistral and Qwen3 32B share?
13 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen3 32B has 26.