# Mistral vs Qwen2.5 14B Instruct

> Mistral has enough public results to be ranked (#297); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/mistral-vs-qwen2-5-14b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where Qwen2.5 14B Instruct leads 37.1 to 33.2.
- Qwen2.5 14B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral | Qwen2.5 14B Instruct |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.4 | 38.2 |
| Rank | 297 | — |
| Context | — | 131K |
| Input $/M | — | $0.35 |
| Output $/M | — | $1.40 |
| Weights | Proprietary | Open |

## Coding

- Mistral: 33.2 (#249)
- Qwen2.5 14B Instruct: 37.1 (#187)

| Benchmark | Mistral | Qwen2.5 14B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 39.8% |
| LMArena Coding | 1162 | — |
| BigCodeBench Complete | — | 52.2% |

## Reasoning

- Mistral: 21.3 (#199)
- Qwen2.5 14B Instruct: —

| Benchmark | Mistral | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1149 | — |

## Math

- Mistral: 20.5 (#275)
- Qwen2.5 14B Instruct: —

| Benchmark | Mistral | Qwen2.5 14B Instruct |
|---|---|---|
| Omni-MATH | 7.2% | — |
| LMArena Math | 1180 | — |

## Knowledge

- Mistral: 16.3 (#283)
- Qwen2.5 14B Instruct: —

| Benchmark | Mistral | Qwen2.5 14B Instruct |
|---|---|---|
| MMLU-Pro | 27.7% | — |
| GPQA (HELM) | 30.3% | — |
| LMArena Expert | 1125 | — |
| MMLU | — | 79.9% |

## Multilingual

- Mistral: 33.0 (#249)
- Qwen2.5 14B Instruct: —

| Benchmark | Mistral | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Non-English | 1129 | — |
| LMArena Chinese | 1109 | — |
| LMArena French | 1179 | — |
| LMArena German | 1155 | — |
| LMArena Japanese | 1012 | — |
| LMArena Korean | 1032 | — |
| LMArena Russian | 1168 | — |
| LMArena Spanish | 1143 | — |

## Instruction Following

- Mistral: 52.9 (#283)
- Qwen2.5 14B Instruct: —

| Benchmark | Mistral | Qwen2.5 14B Instruct |
|---|---|---|
| IFEval | 56.8% | — |
| LMArena Instruction Following | 1152 | — |

## Long Context

- Mistral: 35.0 (#240)
- Qwen2.5 14B Instruct: —

| Benchmark | Mistral | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Longer Query | 1154 | — |

## Writing & Preference

- Mistral: 37.2 (#255)
- Qwen2.5 14B Instruct: —

| Benchmark | Mistral | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Text | 1165 | — |
| LMArena Creative Writing | 1158 | — |
| WildBench | 66% | — |
| LMArena Multi-Turn | 1147 | — |

## FAQ

### Is Mistral better than Qwen2.5 14B Instruct?

Mistral has enough public results to be ranked (#297); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.

### Is Mistral or Qwen2.5 14B Instruct better for coding?

Qwen2.5 14B Instruct scores higher on coding benchmarks: 37.1 versus 33.2 in the Noometry coding category.

### How many benchmarks do Mistral and Qwen2.5 14B Instruct share?

0 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen2.5 14B Instruct has 3.
