# Devstral Small 2505 vs Qwen3 14B

> Qwen3 14B is the stronger model overall, scoring 35.0 to 33.9 on the Noometry Index. Devstral Small 2505 costs 4.1× less per token, which makes it the better buy when Qwen3 14B's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/devstral-small-vs-qwen3-14b
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. Devstral Small 2505 scores higher in 2 categories and Qwen3 14B in 0 categories; 2 gaps are clear of the uncertainty.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 37.7% for Devstral Small 2505 and 49.1% for Qwen3 14B.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.35 / $1.40 for Qwen3 14B.
- Qwen3 14B accepts more context: 131K tokens versus 128K.

## Snapshot

| | Devstral Small 2505 | Qwen3 14B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 33.9 | 35.0 |
| Rank | 228 | 222 |
| Context | 128K | 131K |
| Input $/M | $0.10 | $0.35 |
| Output $/M | $0.30 | $1.40 |
| Weights | Open | Open |

## Coding

- Devstral Small 2505: 38.6 (#160)
- Qwen3 14B: 36.7 (#191)

| Benchmark | Devstral Small 2505 | Qwen3 14B |
|---|---|---|
| SciCode | 28.8% | 31.6% |
| SWE-bench Verified (bash only) | 56.4% | — |

## Agentic & Tool Use

- Devstral Small 2505: —
- Qwen3 14B: 29.4 (#78)

| Benchmark | Devstral Small 2505 | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |

## Reasoning

- Devstral Small 2505: 19.1 (#243)
- Qwen3 14B: 18.1 (#272)

| Benchmark | Devstral Small 2505 | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | 49.1% |
| CritPt | 0% | 0% |
| Chess Puzzles | — | 4% |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |

## Math

- Devstral Small 2505: —
- Qwen3 14B: 37.0 (#102)

| Benchmark | Devstral Small 2505 | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |

## Knowledge

- Devstral Small 2505: —
- Qwen3 14B: 39.2 (#124)

| Benchmark | Devstral Small 2505 | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |

## Long Context

- Devstral Small 2505: —
- Qwen3 14B: 38.0 (#201)

| Benchmark | Devstral Small 2505 | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |

## FAQ

### Is Devstral Small 2505 better than Qwen3 14B?

Qwen3 14B is the stronger model overall, scoring 35.0 to 33.9 on the Noometry Index. Devstral Small 2505 costs 4.1× less per token, which makes it the better buy when Qwen3 14B's lead doesn't matter for your workload.

### Which is cheaper, Devstral Small 2505 or Qwen3 14B?

Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Qwen3 14B lists at $0.35 and $1.40.

### Is Devstral Small 2505 or Qwen3 14B better for coding?

Devstral Small 2505 scores higher on coding benchmarks: 38.6 versus 36.7 in the Noometry coding category.

### Which has the bigger context window?

Qwen3 14B does, with 131K tokens against 128K.

### How many benchmarks do Devstral Small 2505 and Qwen3 14B share?

3 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and Qwen3 14B has 12.