Model comparison
Mistral vs Qwen1.5-32B
Mistral and Qwen1.5-32B score almost the same on the Noometry Index (29.4 vs 30.0), so choose on price, context window or the category you care about most.
Last verified . 17 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Mistral scores higher in 6 categories and Qwen1.5-32B in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen1.5-32B leads 30.5 to 20.5.
- Qwen1.5-32B has downloadable open weights; the other is API-only.
Side by side
| Mistral | Qwen1.5-32B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.4 | 30.0 |
| Released | — | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 21 |
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Category by category
Coding Mistral leads
Mistral: 33.2 (#249), Qwen1.5-32B: 31.1 (#278)
| Benchmark | Mistral | Qwen1.5-32B |
|---|---|---|
| LMArena Coding | 1162 | 1155 |
| BigCodeBench Instruct | — | 32.3% |
| BigCodeBench Complete | — | 42% |
Reasoning Too close to call
Mistral: 21.3 (#199), Qwen1.5-32B: 20.9 (#210)
| Benchmark | Mistral | Qwen1.5-32B |
|---|---|---|
| LMArena Hard Prompts | 1149 | 1131 |
Math Qwen1.5-32B leads
Mistral: 20.5 (#275), Qwen1.5-32B: 30.5 (#207)
| Benchmark | Mistral | Qwen1.5-32B |
|---|---|---|
| LMArena Math | 1180 | 1155 |
| Omni-MATH | 7.2% | — |
Knowledge Mistral leads
Mistral: 16.3 (#283), Qwen1.5-32B: 13.5 (#291)
| Benchmark | Mistral | Qwen1.5-32B |
|---|---|---|
| LMArena Expert | 1125 | 1126 |
| GPQA Diamond | — | 30.7% |
| MMLU-Pro | 27.7% | — |
| GPQA (HELM) | 30.3% | — |
| MMLU | — | 74.4% |
Multilingual Mistral leads
Mistral: 33.0 (#249), Qwen1.5-32B: 31.6 (#254)
| Benchmark | Mistral | Qwen1.5-32B |
|---|---|---|
| LMArena Non-English | 1129 | 1106 |
| LMArena Chinese | 1109 | 1176 |
| LMArena French | 1179 | 1100 |
| LMArena German | 1155 | 1058 |
| LMArena Japanese | 1012 | 1027 |
| LMArena Korean | 1032 | 1007 |
| LMArena Russian | 1168 | 1073 |
| LMArena Spanish | 1143 | 1089 |
Instruction Following Qwen1.5-32B leads
Mistral: 52.9 (#283), Qwen1.5-32B: 58.0 (#260)
| Benchmark | Mistral | Qwen1.5-32B |
|---|---|---|
| LMArena Instruction Following | 1152 | 1116 |
| IFEval | 56.8% | — |
Long Context Too close to call
Mistral: 35.0 (#240), Qwen1.5-32B: 34.7 (#241)
| Benchmark | Mistral | Qwen1.5-32B |
|---|---|---|
| LMArena Longer Query | 1154 | 1146 |
Writing & Preference Mistral leads
Mistral: 37.2 (#255), Qwen1.5-32B: 34.4 (#266)
| Benchmark | Mistral | Qwen1.5-32B |
|---|---|---|
| LMArena Text | 1165 | 1137 |
| LMArena Creative Writing | 1158 | 1083 |
| LMArena Multi-Turn | 1147 | 1140 |
| WildBench | 66% | — |
Frequently asked questions
Is Mistral better than Qwen1.5-32B?
Mistral and Qwen1.5-32B score almost the same on the Noometry Index (29.4 vs 30.0), so choose on price, context window or the category you care about most.
Is Mistral or Qwen1.5-32B better for coding?
Mistral scores higher on coding benchmarks: 33.2 versus 31.1 in the Noometry coding category.
How many benchmarks do Mistral and Qwen1.5-32B share?
17 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen1.5-32B has 21.