# Mistral Medium 3.1 vs Qwen2.5 72B Instruct

> Mistral Medium 3.1 and Qwen2.5 72B Instruct score almost the same on the Noometry Index (31.9 vs 31.9), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/mistral-medium-3-1-vs-qwen2-5-72b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where Qwen2.5 72B Instruct leads 22.3 to 10.6.
- Mistral Medium 3.1 is cheaper at $0.40 / $2 per million input/output tokens, against $1.40 / $5.60 for Qwen2.5 72B Instruct.
- Qwen2.5 72B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral Medium 3.1 | Qwen2.5 72B Instruct |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.9 | 31.9 |
| Rank | 266 | 267 |
| Context | 131K | 131K |
| Input $/M | $0.40 | $1.40 |
| Output $/M | $2 | $5.60 |
| Weights | Proprietary | Open |

## Coding

- Mistral Medium 3.1: —
- Qwen2.5 72B Instruct: 33.2 (#260)

| Benchmark | Mistral Medium 3.1 | Qwen2.5 72B Instruct |
|---|---|---|
| WeirdML | — | 16% |
| BigCodeBench Instruct | — | 45.8% |
| LMArena Coding | — | 1292 |
| BigCodeBench Complete | — | 55.9% |

## Agentic & Tool Use

- Mistral Medium 3.1: —
- Qwen2.5 72B Instruct: 22.1 (#133)

| Benchmark | Mistral Medium 3.1 | Qwen2.5 72B Instruct |
|---|---|---|
| TheAgentCompany | — | 5.7% |
| BALROG | — | 16.2% |
| METR Time Horizons | — | 35.8% |

## Reasoning

- Mistral Medium 3.1: 10.6 (#341)
- Qwen2.5 72B Instruct: 22.3 (#199)

| Benchmark | Mistral Medium 3.1 | Qwen2.5 72B Instruct |
|---|---|---|
| NYT Connections (extended) | 6.5% | — |
| Thematic Generalization | 20.3% | — |
| LMArena Hard Prompts | — | 1271 |
| DTBench | — | 62.9% |
| LMCA | — | 13.4% |
| BIG-Bench Hard | — | 79.8% |
| Epoch Capabilities Index | — | 129 |
| ForecastBench | — | 57.5 |
| HellaSwag | — | 84.8% |
| PIQA | — | 82.6% |
| WinoGrande | — | 82.3% |

## Math

- Mistral Medium 3.1: —
- Qwen2.5 72B Instruct: 19.3 (#287)

| Benchmark | Mistral Medium 3.1 | Qwen2.5 72B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| Omni-MATH | — | 33% |
| LMArena Math | — | 1283 |
| MATH Level 5 | — | 63.2% |

## Knowledge

- Mistral Medium 3.1: —
- Qwen2.5 72B Instruct: 27.0 (#253)

| Benchmark | Mistral Medium 3.1 | Qwen2.5 72B Instruct |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| MMLU-Pro | — | 63.1% |
| Confabulations | — | 19.1% |
| GPQA (HELM) | — | 42.6% |
| LMArena Expert | — | 1245 |
| ARC (AI2) Challenge | — | 94.5% |
| MMLU | — | 85.3% |
| TriviaQA | — | 71.9% |

## Multilingual

- Mistral Medium 3.1: —
- Qwen2.5 72B Instruct: 41.0 (#213)

| Benchmark | Mistral Medium 3.1 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Non-English | — | 1252 |
| LMArena Chinese | — | 1272 |
| LMArena French | — | 1280 |
| LMArena German | — | 1234 |
| LMArena Japanese | — | 1180 |
| LMArena Korean | — | 1188 |
| LMArena Russian | — | 1264 |
| LMArena Spanish | — | 1256 |

## Instruction Following

- Mistral Medium 3.1: —
- Qwen2.5 72B Instruct: 65.5 (#221)

| Benchmark | Mistral Medium 3.1 | Qwen2.5 72B Instruct |
|---|---|---|
| IFEval | — | 80.6% |
| LMArena Instruction Following | — | 1254 |

## Long Context

- Mistral Medium 3.1: —
- Qwen2.5 72B Instruct: 38.9 (#188)

| Benchmark | Mistral Medium 3.1 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | — | 1282 |

## Writing & Preference

- Mistral Medium 3.1: 55.5 (#145)
- Qwen2.5 72B Instruct: 46.7 (#215)

| Benchmark | Mistral Medium 3.1 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Text | — | 1269 |
| LMArena Creative Writing | — | 1221 |
| EQ-Bench Creative Writing | 1476 | — |
| WildBench | — | 80.2% |
| LMArena Multi-Turn | — | 1272 |

## FAQ

### Is Mistral Medium 3.1 better than Qwen2.5 72B Instruct?

Mistral Medium 3.1 and Qwen2.5 72B Instruct score almost the same on the Noometry Index (31.9 vs 31.9), so choose on price, context window or the category you care about most.

### Which is cheaper, Mistral Medium 3.1 or Qwen2.5 72B Instruct?

Mistral Medium 3.1 is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; Qwen2.5 72B Instruct lists at $1.40 and $5.60.

### Which has the bigger context window?

Both accept 131K tokens.

### How many benchmarks do Mistral Medium 3.1 and Qwen2.5 72B Instruct share?

0 benchmarks have published results for both models. Mistral Medium 3.1 has 3 scored results on Noometry and Qwen2.5 72B Instruct has 43.