Model comparison
Magistral Medium vs Qwen2.5-Max
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 35.2 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Magistral Medium scores higher in 0 categories and Qwen2.5-Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen2.5-Max leads 25.6 to 8.6.
- Magistral Medium has downloadable open weights; the other is API-only.
Side by side
| Magistral Medium | Qwen2.5-Max | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 35.2 | 40.7 |
| Released | 2025-03-17 | 2025-01-25 |
| Weights | Open | Proprietary |
| Context window | 262K | — |
| Max output | 16K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 22 | 27 |
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Category by category
Coding Qwen2.5-Max leads
Magistral Medium: 39.1 (#161), Qwen2.5-Max: 41.8 (#117)
| Benchmark | Magistral Medium | Qwen2.5-Max |
|---|---|---|
| LMArena Coding | 1319 | 1359 |
| SciCode | 39.2% | — |
| LiveBench Coding | — | 64.4% |
Reasoning Qwen2.5-Max leads
Magistral Medium: 8.6 (#348), Qwen2.5-Max: 25.6 (#147)
| Benchmark | Magistral Medium | Qwen2.5-Max |
|---|---|---|
| LMArena Hard Prompts | 1267 | 1360 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 16.2% | — |
| ARC-AGI-1 | 6.1% | — |
| CritPt | 0.3% | — |
| LiveBench Reasoning | — | 51.4% |
| LiveBench Data Analysis | — | 67.9% |
| Epoch Capabilities Index | — | 132.53 |
| LiveBench | — | 62.3% |
Math Qwen2.5-Max leads
Magistral Medium: 35.1 (#189), Qwen2.5-Max: 36.9 (#162)
| Benchmark | Magistral Medium | Qwen2.5-Max |
|---|---|---|
| LMArena Math | 1250 | 1369 |
| LiveBench Math | — | 58.4% |
Knowledge Qwen2.5-Max leads
Magistral Medium: 33.5 (#202), Qwen2.5-Max: 35.3 (#186)
| Benchmark | Magistral Medium | Qwen2.5-Max |
|---|---|---|
| LMArena Expert | 1223 | 1337 |
| Confabulations | — | 21.8% |
Multilingual Qwen2.5-Max leads
Magistral Medium: 39.6 (#224), Qwen2.5-Max: 48.1 (#146)
| Benchmark | Magistral Medium | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1232 | 1352 |
| LMArena Chinese | 1227 | 1382 |
| LMArena French | 1267 | 1396 |
| LMArena German | 1248 | 1350 |
| LMArena Japanese | 1175 | 1300 |
| LMArena Korean | 1125 | 1304 |
| LMArena Russian | 1224 | 1353 |
| LMArena Spanish | 1271 | 1377 |
Instruction Following Qwen2.5-Max leads
Magistral Medium: 66.0 (#211), Qwen2.5-Max: 71.3 (#152)
| Benchmark | Magistral Medium | Qwen2.5-Max |
|---|---|---|
| LMArena Instruction Following | 1254 | 1335 |
| LiveBench Instruction Following | — | 75.3% |
Long Context Qwen2.5-Max leads
Magistral Medium: 39.3 (#183), Qwen2.5-Max: 41.4 (#142)
| Benchmark | Magistral Medium | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1295 | 1358 |
Writing & Preference Qwen2.5-Max leads
Magistral Medium: 46.3 (#219), Qwen2.5-Max: 55.4 (#146)
| Benchmark | Magistral Medium | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1255 | 1367 |
| LMArena Creative Writing | 1245 | 1339 |
| LMArena Multi-Turn | 1275 | 1364 |
| Short-Story Creative Writing | — | 72.9% |
| LiveBench Language | — | 56.3% |
Frequently asked questions
Is Magistral Medium better than Qwen2.5-Max?
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 35.2 on the Noometry Index.
Is Magistral Medium or Qwen2.5-Max better for coding?
Qwen2.5-Max scores higher on coding benchmarks: 41.8 versus 39.1 in the Noometry coding category.
How many benchmarks do Magistral Medium and Qwen2.5-Max share?
17 benchmarks have published results for both models. Magistral Medium has 22 scored results on Noometry and Qwen2.5-Max has 27.