Model comparison
Mistral vs Qwen2.5 32B Instruct
Mistral and Qwen2.5 32B Instruct score almost the same on the Noometry Index (29.9 vs 30.1), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen2.5 32B Instruct leads 24.9 to 16.6.
- Qwen2.5 32B Instruct has downloadable open weights; the other is API-only.
Side by side
| Mistral | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.9 | 30.1 |
| Released | — | 2024-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 22 | 7 |
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Category by category
Coding Qwen2.5 32B Instruct leads
Mistral: 33.8 (#250), Qwen2.5 32B Instruct: 38.7 (#169)
| Benchmark | Mistral | Qwen2.5 32B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 45% |
| LMArena Coding | 1162 | — |
| BigCodeBench Complete | — | 52.3% |
Reasoning Mistral leads
Mistral: 22.2 (#200), Qwen2.5 32B Instruct: 19.2 (#266)
| Benchmark | Mistral | Qwen2.5 32B Instruct |
|---|---|---|
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1149 | — |
| Epoch Capabilities Index | — | 128.52 |
Math Mistral leads
Mistral: 22.3 (#278), Qwen2.5 32B Instruct: 16.2 (#296)
| Benchmark | Mistral | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 7.4% |
| Omni-MATH | 7.2% | — |
| LMArena Math | 1180 | — |
| MATH Level 5 | — | 56.1% |
Knowledge Qwen2.5 32B Instruct leads
Mistral: 16.6 (#288), Qwen2.5 32B Instruct: 24.9 (#266)
| Benchmark | Mistral | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | — | 46.1% |
| MMLU-Pro | 27.7% | — |
| GPQA (HELM) | 30.3% | — |
| LMArena Expert | 1125 | — |
Multilingual Not comparable
Mistral: 32.8 (#254), Qwen2.5 32B Instruct: —
| Benchmark | Mistral | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Non-English | 1129 | — |
| LMArena Chinese | 1109 | — |
| LMArena French | 1180 | — |
| LMArena German | 1155 | — |
| LMArena Japanese | 1013 | — |
| LMArena Korean | 1032 | — |
| LMArena Russian | 1168 | — |
| LMArena Spanish | 1143 | — |
Instruction Following Not comparable
Mistral: 52.6 (#288), Qwen2.5 32B Instruct: —
| Benchmark | Mistral | Qwen2.5 32B Instruct |
|---|---|---|
| IFEval | 56.8% | — |
| LMArena Instruction Following | 1152 | — |
Long Context Not comparable
Mistral: 35.0 (#245), Qwen2.5 32B Instruct: —
| Benchmark | Mistral | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Longer Query | 1153 | — |
Writing & Preference Not comparable
Mistral: 37.0 (#260), Qwen2.5 32B Instruct: —
| Benchmark | Mistral | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Text | 1165 | — |
| LMArena Creative Writing | 1158 | — |
| WildBench | 66% | — |
| LMArena Multi-Turn | 1147 | — |
Frequently asked questions
Is Mistral better than Qwen2.5 32B Instruct?
Mistral and Qwen2.5 32B Instruct score almost the same on the Noometry Index (29.9 vs 30.1), so choose on price, context window or the category you care about most.
Is Mistral or Qwen2.5 32B Instruct better for coding?
Qwen2.5 32B Instruct scores higher on coding benchmarks: 38.7 versus 33.8 in the Noometry coding category.
How many benchmarks do Mistral and Qwen2.5 32B Instruct share?
0 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen2.5 32B Instruct has 7.