Model comparison
Mistral Large 3 vs Qwen2.5-Max
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 39.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Mistral Large 3 scores higher in 6 categories and Qwen2.5-Max in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen2.5-Max leads 25.6 to 15.2.
- Mistral Large 3 has downloadable open weights; the other is API-only.
Side by side
| Mistral Large 3 | Qwen2.5-Max | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 39.1 | 40.7 |
| Released | 2025-12-02 | 2025-01-25 |
| Weights | Open | Proprietary |
| Context window | 262K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.75 | — |
| Results tracked | 24 | 27 |
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Category by category
Coding Qwen2.5-Max leads
Mistral Large 3: 34.4 (#237), Qwen2.5-Max: 41.8 (#117)
| Benchmark | Mistral Large 3 | Qwen2.5-Max |
|---|---|---|
| LMArena Coding | 1448 | 1359 |
| LMArena WebDev | 1230 | — |
| LiveBench Coding | — | 64.4% |
Reasoning Qwen2.5-Max leads
Mistral Large 3: 15.2 (#319), Qwen2.5-Max: 25.6 (#147)
| Benchmark | Mistral Large 3 | Qwen2.5-Max |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1360 |
| Kagi LLM Benchmark | 50.9% | — |
| NYT Connections (extended) | 7.5% | — |
| Thematic Generalization | 23% | — |
| LiveBench Reasoning | — | 51.4% |
| LiveBench Data Analysis | — | 67.9% |
| Epoch Capabilities Index | — | 132.53 |
| LiveBench | — | 62.3% |
Math Mistral Large 3 leads
Mistral Large 3: 38.7 (#129), Qwen2.5-Max: 36.9 (#162)
| Benchmark | Mistral Large 3 | Qwen2.5-Max |
|---|---|---|
| LMArena Math | 1414 | 1369 |
| LiveBench Math | — | 58.4% |
Knowledge Too close to call
Mistral Large 3: 36.0 (#177), Qwen2.5-Max: 35.3 (#186)
| Benchmark | Mistral Large 3 | Qwen2.5-Max |
|---|---|---|
| LMArena Expert | 1421 | 1337 |
| Confabulations | — | 21.8% |
| Vectara Hallucination Rate | 14.5% | — |
Multimodal Not comparable
Mistral Large 3: 38.2 (#66), Qwen2.5-Max: —
| Benchmark | Mistral Large 3 | Qwen2.5-Max |
|---|---|---|
| LMArena Vision | 1221 | — |
Multilingual Mistral Large 3 leads
Mistral Large 3: 52.5 (#84), Qwen2.5-Max: 48.1 (#146)
| Benchmark | Mistral Large 3 | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1413 | 1352 |
| LMArena Chinese | 1447 | 1382 |
| LMArena French | 1455 | 1396 |
| LMArena German | 1437 | 1350 |
| LMArena Japanese | 1394 | 1300 |
| LMArena Korean | 1384 | 1304 |
| LMArena Russian | 1411 | 1353 |
| LMArena Spanish | 1440 | 1377 |
Instruction Following Mistral Large 3 leads
Mistral Large 3: 74.0 (#108), Qwen2.5-Max: 71.3 (#152)
| Benchmark | Mistral Large 3 | Qwen2.5-Max |
|---|---|---|
| LMArena Instruction Following | 1403 | 1335 |
| LiveBench Instruction Following | — | 75.3% |
Long Context Mistral Large 3 leads
Mistral Large 3: 43.1 (#105), Qwen2.5-Max: 41.4 (#142)
| Benchmark | Mistral Large 3 | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1413 | 1358 |
Writing & Preference Mistral Large 3 leads
Mistral Large 3: 60.0 (#101), Qwen2.5-Max: 55.4 (#146)
| Benchmark | Mistral Large 3 | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1428 | 1367 |
| LMArena Creative Writing | 1386 | 1339 |
| LMArena Multi-Turn | 1429 | 1364 |
| Short-Story Creative Writing | — | 72.9% |
| EQ-Bench Creative Writing | 1412 | — |
| LiveBench Language | — | 56.3% |
Frequently asked questions
Is Mistral Large 3 better than Qwen2.5-Max?
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 39.1 on the Noometry Index.
Is Mistral Large 3 or Qwen2.5-Max better for coding?
Qwen2.5-Max scores higher on coding benchmarks: 41.8 versus 34.4 in the Noometry coding category.
How many benchmarks do Mistral Large 3 and Qwen2.5-Max share?
17 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Qwen2.5-Max has 27.