# Devstral Small 2505 vs Qwen2.5 7B Instruct

> Devstral Small 2505 is the stronger model overall, scoring 33.9 to 28.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/devstral-small-vs-qwen2-5-7b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where Devstral Small 2505 leads 19.1 to 14.3.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.17 / $0.70 for Qwen2.5 7B Instruct.
- Qwen2.5 7B Instruct accepts more context: 131K tokens versus 128K.

## Snapshot

| | Devstral Small 2505 | Qwen2.5 7B Instruct |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 33.9 | 28.6 |
| Rank | 228 | 314 |
| Context | 128K | 131K |
| Input $/M | $0.10 | $0.17 |
| Output $/M | $0.30 | $0.70 |
| Weights | Open | Open |

## Coding

- Devstral Small 2505: 38.6 (#160)
- Qwen2.5 7B Instruct: 35.9 (#204)

| Benchmark | Devstral Small 2505 | Qwen2.5 7B Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | — |
| SciCode | 28.8% | — |
| BigCodeBench Instruct | — | 37.6% |
| BigCodeBench Complete | — | 46.1% |

## Agentic & Tool Use

- Devstral Small 2505: —
- Qwen2.5 7B Instruct: 23.5 (#117)

| Benchmark | Devstral Small 2505 | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |

## Reasoning

- Devstral Small 2505: 19.1 (#243)
- Qwen2.5 7B Instruct: 14.3 (#317)

| Benchmark | Devstral Small 2505 | Qwen2.5 7B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | — |
| CritPt | 0% | — |
| Chess Puzzles | — | 0% |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| Epoch Capabilities Index | — | 118.44 |

## Math

- Devstral Small 2505: —
- Qwen2.5 7B Instruct: 11.8 (#300)

| Benchmark | Devstral Small 2505 | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |

## Knowledge

- Devstral Small 2505: —
- Qwen2.5 7B Instruct: 17.0 (#281)

| Benchmark | Devstral Small 2505 | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| MMLU | — | 72.9% |

## Instruction Following

- Devstral Small 2505: —
- Qwen2.5 7B Instruct: 63.4 (#226)

| Benchmark | Devstral Small 2505 | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |

## Writing & Preference

- Devstral Small 2505: —
- Qwen2.5 7B Instruct: 48.8 (#194)

| Benchmark | Devstral Small 2505 | Qwen2.5 7B Instruct |
|---|---|---|
| WildBench | — | 73.1% |

## FAQ

### Is Devstral Small 2505 better than Qwen2.5 7B Instruct?

Devstral Small 2505 is the stronger model overall, scoring 33.9 to 28.6 on the Noometry Index.

### Which is cheaper, Devstral Small 2505 or Qwen2.5 7B Instruct?

Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Qwen2.5 7B Instruct lists at $0.17 and $0.70.

### Is Devstral Small 2505 or Qwen2.5 7B Instruct better for coding?

Devstral Small 2505 scores higher on coding benchmarks: 38.6 versus 35.9 in the Noometry coding category.

### Which has the bigger context window?

Qwen2.5 7B Instruct does, with 131K tokens against 128K.

### How many benchmarks do Devstral Small 2505 and Qwen2.5 7B Instruct share?

0 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and Qwen2.5 7B Instruct has 15.