# Mistral Medium vs Qwen2.5-VL 72B Instruct

> Mistral Medium is the stronger model overall, scoring 36.0 to 29.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-medium-vs-qwen2-5-vl-72b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Mistral Medium scores higher in 3 categories and Qwen2.5-VL 72B Instruct in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Mistral Medium leads 28.1 to 18.4.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 50% for Mistral Medium and 36% for Qwen2.5-VL 72B Instruct.
- Mistral Medium is cheaper at $1.50 / $7.50 per million input/output tokens, against $2.80 / $8.40 for Qwen2.5-VL 72B Instruct.
- Mistral Medium accepts more context: 262K tokens versus 131K.

## Snapshot

| | Mistral Medium | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 36.0 | 29.4 |
| Rank | 211 | 298 |
| Context | 262K | 131K |
| Input $/M | $1.50 | $2.80 |
| Output $/M | $7.50 | $8.40 |
| Weights | Open | Open |

## Coding

- Mistral Medium: 33.8 (#241)
- Qwen2.5-VL 72B Instruct: —

| Benchmark | Mistral Medium | Qwen2.5-VL 72B Instruct |
|---|---|---|
| FrontierCode | 8% | — |
| SciCode | 40.2% | — |
| WeirdML | 43.7% | — |
| LMArena Coding | 1434 | — |
| ALE-Bench | 763.98 | — |

## Agentic & Tool Use

- Mistral Medium: 28.1 (#84)
- Qwen2.5-VL 72B Instruct: 18.4 (#136)

| Benchmark | Mistral Medium | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |
| OSWorld | — | 5% |

## Reasoning

- Mistral Medium: 23.3 (#165)
- Qwen2.5-VL 72B Instruct: 20.0 (#228)

| Benchmark | Mistral Medium | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 50% | 36% |
| CritPt | 0% | — |
| LMArena Hard Prompts | 1426 | — |
| DTBench | 75.5% | — |
| LMCA | 26.1% | — |
| Surface Evolver Bench | 26.9% | — |

## Math

- Mistral Medium: 27.2 (#238)
- Qwen2.5-VL 72B Instruct: —

| Benchmark | Mistral Medium | Qwen2.5-VL 72B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 32.2% | — |
| ProofBench | 9% | — |
| LMArena Math | 1409 | — |
| MATH Level 5 | 81.6% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |

## Knowledge

- Mistral Medium: 24.9 (#260)
- Qwen2.5-VL 72B Instruct: —

| Benchmark | Mistral Medium | Qwen2.5-VL 72B Instruct |
|---|---|---|
| GPQA Diamond | 59.5% | — |
| Humanity's Last Exam | 4.5% | — |
| Vectara Hallucination Rate | 22.7% | — |
| LMArena Expert | 1408 | — |

## Multimodal

- Mistral Medium: 34.6 (#82)
- Qwen2.5-VL 72B Instruct: 32.9 (#92)

| Benchmark | Mistral Medium | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Vision | 1172 | 1107 |
| Video-MME | — | 73.5% |
| GeoBench | — | 62% |
| SpatialViz-Bench | — | 33.3% |

## Multilingual

- Mistral Medium: 52.3 (#86)
- Qwen2.5-VL 72B Instruct: —

| Benchmark | Mistral Medium | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Non-English | 1408 | — |
| LMArena Chinese | 1448 | — |
| LMArena French | 1460 | — |
| LMArena German | 1433 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1382 | — |
| LMArena Russian | 1411 | — |
| LMArena Spanish | 1433 | — |

## Instruction Following

- Mistral Medium: 73.9 (#111)
- Qwen2.5-VL 72B Instruct: —

| Benchmark | Mistral Medium | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1398 | — |

## Long Context

- Mistral Medium: 42.9 (#108)
- Qwen2.5-VL 72B Instruct: —

| Benchmark | Mistral Medium | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1406 | — |

## Writing & Preference

- Mistral Medium: 60.2 (#97)
- Qwen2.5-VL 72B Instruct: —

| Benchmark | Mistral Medium | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Text | 1424 | — |
| LMArena Creative Writing | 1391 | — |
| Short-Story Creative Writing | 77.3% | — |
| LMArena Multi-Turn | 1418 | — |

## FAQ

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

Mistral Medium is the stronger model overall, scoring 36.0 to 29.4 on the Noometry Index.

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

Mistral Medium is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; Qwen2.5-VL 72B Instruct lists at $2.80 and $8.40.

### Which has the bigger context window?

Mistral Medium does, with 262K tokens against 131K.

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

2 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.