Model comparison
Mistral vs Qwen2.5 Plus 1127
Qwen2.5 Plus 1127 is the stronger model overall, scoring 38.8 to 29.9 on the Noometry Index.
Last verified . 14 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 14 benchmarks with published results for both. Mistral scores higher in 0 categories and Qwen2.5 Plus 1127 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen2.5 Plus 1127 leads 35.5 to 16.6.
Side by side
| Mistral | Qwen2.5 Plus 1127 | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.9 | 38.8 |
| Released | — | — |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 14 |
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Category by category
Coding Qwen2.5 Plus 1127 leads
Mistral: 33.8 (#250), Qwen2.5 Plus 1127: 38.5 (#175)
| Benchmark | Mistral | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Coding | 1162 | 1314 |
Reasoning Qwen2.5 Plus 1127 leads
Mistral: 22.2 (#200), Qwen2.5 Plus 1127: 25.9 (#141)
| Benchmark | Mistral | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Hard Prompts | 1149 | 1299 |
Math Qwen2.5 Plus 1127 leads
Mistral: 22.3 (#278), Qwen2.5 Plus 1127: 36.1 (#174)
| Benchmark | Mistral | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Math | 1180 | 1298 |
| Omni-MATH | 7.2% | — |
Knowledge Qwen2.5 Plus 1127 leads
Mistral: 16.6 (#288), Qwen2.5 Plus 1127: 35.5 (#183)
| Benchmark | Mistral | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Expert | 1125 | 1289 |
| MMLU-Pro | 27.7% | — |
| GPQA (HELM) | 30.3% | — |
Multilingual Qwen2.5 Plus 1127 leads
Mistral: 32.8 (#254), Qwen2.5 Plus 1127: 41.9 (#201)
| Benchmark | Mistral | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Non-English | 1129 | 1265 |
| LMArena Chinese | 1109 | 1314 |
| LMArena German | 1155 | 1231 |
| LMArena Japanese | 1013 | 1207 |
| LMArena Russian | 1168 | 1271 |
| LMArena French | 1180 | — |
| LMArena Korean | 1032 | — |
| LMArena Spanish | 1143 | — |
Instruction Following Qwen2.5 Plus 1127 leads
Mistral: 52.6 (#288), Qwen2.5 Plus 1127: 67.2 (#199)
| Benchmark | Mistral | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Instruction Following | 1152 | 1275 |
| IFEval | 56.8% | — |
Long Context Qwen2.5 Plus 1127 leads
Mistral: 35.0 (#245), Qwen2.5 Plus 1127: 39.2 (#184)
| Benchmark | Mistral | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Longer Query | 1153 | 1292 |
Writing & Preference Qwen2.5 Plus 1127 leads
Mistral: 37.0 (#260), Qwen2.5 Plus 1127: 49.4 (#192)
| Benchmark | Mistral | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Text | 1165 | 1299 |
| LMArena Creative Writing | 1158 | 1262 |
| LMArena Multi-Turn | 1147 | 1299 |
| WildBench | 66% | — |
Frequently asked questions
Is Mistral better than Qwen2.5 Plus 1127?
Qwen2.5 Plus 1127 is the stronger model overall, scoring 38.8 to 29.9 on the Noometry Index.
Is Mistral or Qwen2.5 Plus 1127 better for coding?
Qwen2.5 Plus 1127 scores higher on coding benchmarks: 38.5 versus 33.8 in the Noometry coding category.
How many benchmarks do Mistral and Qwen2.5 Plus 1127 share?
14 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen2.5 Plus 1127 has 14.