# Devstral Small 2505 vs Qwen2.5-Max

> Qwen2.5-Max is the stronger model overall, scoring 40.1 to 33.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/devstral-small-vs-qwen2-5-max
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where Qwen2.5-Max leads 24.6 to 19.1.
- Devstral Small 2505 has downloadable open weights; the other is API-only.

## Snapshot

| | Devstral Small 2505 | Qwen2.5-Max |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 33.9 | 40.1 |
| Rank | 228 | 142 |
| Context | 128K | — |
| Input $/M | $0.10 | — |
| Output $/M | $0.30 | — |
| Weights | Open | Proprietary |

## Coding

- Devstral Small 2505: 38.6 (#160)
- Qwen2.5-Max: 41.2 (#118)

| Benchmark | Devstral Small 2505 | Qwen2.5-Max |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | — |
| SciCode | 28.8% | — |
| LiveBench Coding | — | 64.4% |
| LMArena Coding | — | 1359 |

## Reasoning

- Devstral Small 2505: 19.1 (#243)
- Qwen2.5-Max: 24.6 (#144)

| Benchmark | Devstral Small 2505 | Qwen2.5-Max |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | — | 51.4% |
| LMArena Hard Prompts | — | 1360 |
| LiveBench Data Analysis | — | 67.9% |
| Epoch Capabilities Index | — | 132.54 |
| LiveBench | — | 62.3% |

## Math

- Devstral Small 2505: —
- Qwen2.5-Max: 34.3 (#162)

| Benchmark | Devstral Small 2505 | Qwen2.5-Max |
|---|---|---|
| LiveBench Math | — | 58.4% |
| LMArena Math | — | 1369 |

## Knowledge

- Devstral Small 2505: —
- Qwen2.5-Max: 34.8 (#181)

| Benchmark | Devstral Small 2505 | Qwen2.5-Max |
|---|---|---|
| Confabulations | — | 21.8% |
| LMArena Expert | — | 1337 |

## Multilingual

- Devstral Small 2505: —
- Qwen2.5-Max: 48.3 (#140)

| Benchmark | Devstral Small 2505 | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | — | 1352 |
| LMArena Chinese | — | 1382 |
| LMArena French | — | 1396 |
| LMArena German | — | 1350 |
| LMArena Japanese | — | 1299 |
| LMArena Korean | — | 1304 |
| LMArena Russian | — | 1353 |
| LMArena Spanish | — | 1377 |

## Instruction Following

- Devstral Small 2505: —
- Qwen2.5-Max: 71.5 (#147)

| Benchmark | Devstral Small 2505 | Qwen2.5-Max |
|---|---|---|
| LiveBench Instruction Following | — | 75.3% |
| LMArena Instruction Following | — | 1335 |

## Long Context

- Devstral Small 2505: —
- Qwen2.5-Max: 41.3 (#137)

| Benchmark | Devstral Small 2505 | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | — | 1358 |

## Writing & Preference

- Devstral Small 2505: —
- Qwen2.5-Max: 55.6 (#141)

| Benchmark | Devstral Small 2505 | Qwen2.5-Max |
|---|---|---|
| LMArena Text | — | 1367 |
| LMArena Creative Writing | — | 1339 |
| Short-Story Creative Writing | — | 72.9% |
| LMArena Multi-Turn | — | 1364 |
| LiveBench Language | — | 56.3% |

## FAQ

### Is Devstral Small 2505 better than Qwen2.5-Max?

Qwen2.5-Max is the stronger model overall, scoring 40.1 to 33.9 on the Noometry Index.

### Is Devstral Small 2505 or Qwen2.5-Max better for coding?

Qwen2.5-Max scores higher on coding benchmarks: 41.2 versus 38.6 in the Noometry coding category.

### How many benchmarks do Devstral Small 2505 and Qwen2.5-Max share?

0 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and Qwen2.5-Max has 27.