Model comparison
Mistral vs Qwen2.5-Max
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 29.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Mistral scores higher in 0 categories and Qwen2.5-Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen2.5-Max leads 35.3 to 16.6.
Side by side
| Mistral | Qwen2.5-Max | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.9 | 40.7 |
| Released | — | 2025-01-25 |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 27 |
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Category by category
Coding Qwen2.5-Max leads
Mistral: 33.8 (#250), Qwen2.5-Max: 41.8 (#117)
| Benchmark | Mistral | Qwen2.5-Max |
|---|---|---|
| LMArena Coding | 1162 | 1359 |
| LiveBench Coding | — | 64.4% |
Reasoning Qwen2.5-Max leads
Mistral: 22.2 (#200), Qwen2.5-Max: 25.6 (#147)
| Benchmark | Mistral | Qwen2.5-Max |
|---|---|---|
| LMArena Hard Prompts | 1149 | 1360 |
| LiveBench Reasoning | — | 51.4% |
| LiveBench Data Analysis | — | 67.9% |
| Epoch Capabilities Index | — | 132.53 |
| LiveBench | — | 62.3% |
Math Qwen2.5-Max leads
Mistral: 22.3 (#278), Qwen2.5-Max: 36.9 (#162)
| Benchmark | Mistral | Qwen2.5-Max |
|---|---|---|
| LMArena Math | 1180 | 1369 |
| Omni-MATH | 7.2% | — |
| LiveBench Math | — | 58.4% |
Knowledge Qwen2.5-Max leads
Mistral: 16.6 (#288), Qwen2.5-Max: 35.3 (#186)
| Benchmark | Mistral | Qwen2.5-Max |
|---|---|---|
| LMArena Expert | 1125 | 1337 |
| MMLU-Pro | 27.7% | — |
| Confabulations | — | 21.8% |
| GPQA (HELM) | 30.3% | — |
Multilingual Qwen2.5-Max leads
Mistral: 32.8 (#254), Qwen2.5-Max: 48.1 (#146)
| Benchmark | Mistral | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1129 | 1352 |
| LMArena Chinese | 1109 | 1382 |
| LMArena French | 1180 | 1396 |
| LMArena German | 1155 | 1350 |
| LMArena Japanese | 1013 | 1300 |
| LMArena Korean | 1032 | 1304 |
| LMArena Russian | 1168 | 1353 |
| LMArena Spanish | 1143 | 1377 |
Instruction Following Qwen2.5-Max leads
Mistral: 52.6 (#288), Qwen2.5-Max: 71.3 (#152)
| Benchmark | Mistral | Qwen2.5-Max |
|---|---|---|
| LMArena Instruction Following | 1152 | 1335 |
| LiveBench Instruction Following | — | 75.3% |
| IFEval | 56.8% | — |
Long Context Qwen2.5-Max leads
Mistral: 35.0 (#245), Qwen2.5-Max: 41.4 (#142)
| Benchmark | Mistral | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1153 | 1358 |
Writing & Preference Qwen2.5-Max leads
Mistral: 37.0 (#260), Qwen2.5-Max: 55.4 (#146)
| Benchmark | Mistral | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1165 | 1367 |
| LMArena Creative Writing | 1158 | 1339 |
| LMArena Multi-Turn | 1147 | 1364 |
| Short-Story Creative Writing | — | 72.9% |
| WildBench | 66% | — |
| LiveBench Language | — | 56.3% |
Frequently asked questions
Is Mistral better than Qwen2.5-Max?
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 29.9 on the Noometry Index.
Is Mistral or Qwen2.5-Max better for coding?
Qwen2.5-Max scores higher on coding benchmarks: 41.8 versus 33.8 in the Noometry coding category.
How many benchmarks do Mistral and Qwen2.5-Max share?
17 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen2.5-Max has 27.