# Devstral Small 2505 vs Qwen3.7 Flash

> Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 33.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/devstral-small-vs-qwen3-7-flash
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where Qwen3.7 Flash leads 27.3 to 19.1.
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.10 / $0.30 for Devstral Small 2505.
- Qwen3.7 Flash accepts more context: 1M tokens versus 128K.
- Devstral Small 2505 has downloadable open weights; the other is API-only.

## Snapshot

| | Devstral Small 2505 | Qwen3.7 Flash |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 33.9 | 39.5 |
| Rank | 228 | 152 |
| Context | 128K | 1M |
| Input $/M | $0.10 | $0.03 |
| Output $/M | $0.30 | $0.13 |
| Weights | Open | Proprietary |

## Coding

- Devstral Small 2505: 38.6 (#160)
- Qwen3.7 Flash: —

| Benchmark | Devstral Small 2505 | Qwen3.7 Flash |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | — |
| SciCode | 28.8% | — |

## Reasoning

- Devstral Small 2505: 19.1 (#243)
- Qwen3.7 Flash: 27.3 (#108)

| Benchmark | Devstral Small 2505 | Qwen3.7 Flash |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | — |
| NYT Connections (extended) | — | 43.8% |
| CritPt | 0% | — |
| Chess Puzzles | — | 23% |
| Mystery Game Puzzles | — | 15% |
| Epoch Capabilities Index | — | 144.62 |

## Math

- Devstral Small 2505: —
- Qwen3.7 Flash: 37.3 (#100)

| Benchmark | Devstral Small 2505 | Qwen3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 19.3% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |

## Knowledge

- Devstral Small 2505: —
- Qwen3.7 Flash: 48.9 (#69)

| Benchmark | Devstral Small 2505 | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | — | 82.3% |

## FAQ

### Is Devstral Small 2505 better than Qwen3.7 Flash?

Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 33.9 on the Noometry Index.

### Which is cheaper, Devstral Small 2505 or Qwen3.7 Flash?

Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; Devstral Small 2505 lists at $0.10 and $0.30.

### Which has the bigger context window?

Qwen3.7 Flash does, with 1M tokens against 128K.

### How many benchmarks do Devstral Small 2505 and Qwen3.7 Flash share?

0 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and Qwen3.7 Flash has 7.