# Codestral vs Qwen3 14B

> Qwen3 14B is the stronger model overall, scoring 35.5 to 30.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codestral-vs-qwen3-14b
- Last updated: 2026-10-11
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Codestral scores higher in 1 category and Qwen3 14B in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen3 14B leads 37.3 to 27.3.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 32.5% for Codestral and 49.1% for Qwen3 14B.
- Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.35 / $1.40 for Qwen3 14B.
- Codestral accepts more context: 256K tokens versus 131K.
- Qwen3 14B has downloadable open weights; the other is API-only.

## Snapshot

| | Codestral | Qwen3 14B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 30.6 | 35.5 |
| Rank | 290 | 225 |
| Context | 256K | 131K |
| Input $/M | $0.30 | $0.35 |
| Output $/M | $0.90 | $1.40 |
| Weights | Proprietary | Open |

## Coding

- Codestral: 27.3 (#321)
- Qwen3 14B: 37.3 (#195)

| Benchmark | Codestral | Qwen3 14B |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| SciCode | — | 31.6% |
| BigCodeBench Instruct | 41.8% | — |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |

## Agentic & Tool Use

- Codestral: —
- Qwen3 14B: 29.6 (#83)

| Benchmark | Codestral | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |

## Reasoning

- Codestral: 19.8 (#251)
- Qwen3 14B: 18.5 (#280)

| Benchmark | Codestral | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |

## Math

- Codestral: —
- Qwen3 14B: 38.6 (#133)

| Benchmark | Codestral | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |

## Knowledge

- Codestral: —
- Qwen3 14B: 39.3 (#134)

| Benchmark | Codestral | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |

## Long Context

- Codestral: —
- Qwen3 14B: 38.1 (#204)

| Benchmark | Codestral | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |

## FAQ

### Is Codestral better than Qwen3 14B?

Qwen3 14B is the stronger model overall, scoring 35.5 to 30.6 on the Noometry Index.

### Which is cheaper, Codestral or Qwen3 14B?

Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Qwen3 14B lists at $0.35 and $1.40.

### Is Codestral or Qwen3 14B better for coding?

Qwen3 14B scores higher on coding benchmarks: 37.3 versus 27.3 in the Noometry coding category.

### Which has the bigger context window?

Codestral does, with 256K tokens against 131K.

### How many benchmarks do Codestral and Qwen3 14B share?

1 benchmark has published results for both models. Codestral has 7 scored results on Noometry and Qwen3 14B has 12.