# Mistral vs Qwen2.5-Max

> Qwen2.5-Max is the stronger model overall, scoring 40.7 to 29.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-vs-qwen2-5-max
- Last updated: 2026-10-11
- Shared benchmarks: 17

## 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.

## Snapshot

| | Mistral | Qwen2.5-Max |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.9 | 40.7 |
| Rank | 303 | 146 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Proprietary | Proprietary |

## Coding

- Mistral: 33.8 (#250)
- Qwen2.5-Max: 41.8 (#117)

| Benchmark | Mistral | Qwen2.5-Max |
|---|---|---|
| LMArena Coding | 1162 | 1359 |
| LiveBench Coding | — | 64.4% |

## Reasoning

- 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

- 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

- 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

- 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

- 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

- Mistral: 35.0 (#245)
- Qwen2.5-Max: 41.4 (#142)

| Benchmark | Mistral | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1153 | 1358 |

## Writing & Preference

- 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% |

## FAQ

### 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.