# Devstral Small 2505 vs Qwen3.6 27B

> Qwen3.6 27B is the stronger model overall, scoring 42.2 to 34.3 on the Noometry Index. Devstral Small 2505 costs 9.0× less per token, which makes it the better buy when Qwen3.6 27B's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/devstral-small-vs-qwen3-6-27b
- Last updated: 2026-10-12
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Devstral Small 2505 scores higher in 0 categories and Qwen3.6 27B in 2 categories; one gap is clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.6 27B leads 25.0 to 19.7.
- The biggest single-benchmark swing is SciCode: 28.8% for Devstral Small 2505 and 37.3% for Qwen3.6 27B.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.60 / $3.60 for Qwen3.6 27B.
- Qwen3.6 27B accepts more context: 262K tokens versus 128K.

## Snapshot

| | Devstral Small 2505 | Qwen3.6 27B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 34.3 | 42.2 |
| Rank | 233 | 117 |
| Context | 128K | 262K |
| Input $/M | $0.10 | $0.60 |
| Output $/M | $0.30 | $3.60 |
| Weights | Open | Open |

## Coding

- Devstral Small 2505: 38.9 (#166)
- Qwen3.6 27B: 39.1 (#163)

| Benchmark | Devstral Small 2505 | Qwen3.6 27B |
|---|---|---|
| SciCode | 28.8% | 37.3% |
| SWE-bench Verified (bash only) | 56.4% | — |

## Reasoning

- Devstral Small 2505: 19.7 (#252)
- Qwen3.6 27B: 25.0 (#153)

| Benchmark | Devstral Small 2505 | Qwen3.6 27B |
|---|---|---|
| CritPt | 0% | 0.9% |
| Kagi LLM Benchmark | 37.7% | — |
| Chess Puzzles | — | 22% |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 78.1% |
| LMCA | — | 34.5% |
| Epoch Capabilities Index | — | 146.5 |

## Math

- Devstral Small 2505: —
- Qwen3.6 27B: 48.5 (#62)

| Benchmark | Devstral Small 2505 | Qwen3.6 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 35.1% |
| OTIS Mock AIME 2024-2025 | — | 91.1% |

## Knowledge

- Devstral Small 2505: —
- Qwen3.6 27B: 52.4 (#63)

| Benchmark | Devstral Small 2505 | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | — | 85.9% |

## Writing & Preference

- Devstral Small 2505: —
- Qwen3.6 27B: 50.3 (#181)

| Benchmark | Devstral Small 2505 | Qwen3.6 27B |
|---|---|---|
| EQ-Bench 4 | — | 1026 |

## FAQ

### Is Devstral Small 2505 better than Qwen3.6 27B?

Qwen3.6 27B is the stronger model overall, scoring 42.2 to 34.3 on the Noometry Index. Devstral Small 2505 costs 9.0× less per token, which makes it the better buy when Qwen3.6 27B's lead doesn't matter for your workload.

### Which is cheaper, Devstral Small 2505 or Qwen3.6 27B?

Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Qwen3.6 27B lists at $0.60 and $3.60.

### Is Devstral Small 2505 or Qwen3.6 27B better for coding?

They score almost the same on coding (38.9 vs 39.1); test both on your own repository before choosing.

### Which has the bigger context window?

Qwen3.6 27B does, with 262K tokens against 128K.

### How many benchmarks do Devstral Small 2505 and Qwen3.6 27B share?

2 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and Qwen3.6 27B has 11.