# Mistral Medium 3.5 vs Qwen1.5-72B

> Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 30.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-medium-3-5-vs-qwen1-5-72b
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. Mistral Medium 3.5 scores higher in 7 categories and Qwen1.5-72B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Medium 3.5 leads 40.0 to 11.5.

## Snapshot

| | Mistral Medium 3.5 | Qwen1.5-72B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 40.2 | 30.8 |
| Rank | 152 | 285 |
| Context | 262K | — |
| Input $/M | $1.50 | — |
| Output $/M | $7.50 | — |
| Weights | Open | Open |

## Coding

- Mistral Medium 3.5: 36.0 (#213)
- Qwen1.5-72B: 31.9 (#277)

| Benchmark | Mistral Medium 3.5 | Qwen1.5-72B |
|---|---|---|
| LMArena Coding | 1461 | 1165 |
| LMArena WebDev | 1264 | — |
| BigCodeBench Instruct | — | 33.2% |
| BigCodeBench Complete | — | 40.3% |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 61.6% |

## Reasoning

- Mistral Medium 3.5: 17.3 (#295)
- Qwen1.5-72B: 22.2 (#203)

| Benchmark | Mistral Medium 3.5 | Qwen1.5-72B |
|---|---|---|
| LMArena Hard Prompts | 1436 | 1148 |
| Kagi LLM Benchmark | 41.4% | — |
| NYT Connections (extended) | 12.9% | — |
| Epoch Capabilities Index | 141.35 | — |

## Math

- Mistral Medium 3.5: 39.1 (#113)
- Qwen1.5-72B: 33.2 (#205)

| Benchmark | Mistral Medium 3.5 | Qwen1.5-72B |
|---|---|---|
| LMArena Math | 1431 | 1164 |

## Knowledge

- Mistral Medium 3.5: 40.0 (#126)
- Qwen1.5-72B: 11.5 (#300)

| Benchmark | Mistral Medium 3.5 | Qwen1.5-72B |
|---|---|---|
| LMArena Expert | 1432 | 1136 |
| GPQA Diamond | — | 28.8% |

## Multimodal

- Mistral Medium 3.5: 38.3 (#65)
- Qwen1.5-72B: —

| Benchmark | Mistral Medium 3.5 | Qwen1.5-72B |
|---|---|---|
| LMArena Vision | 1223 | — |

## Multilingual

- Mistral Medium 3.5: 51.9 (#100)
- Qwen1.5-72B: 33.2 (#253)

| Benchmark | Mistral Medium 3.5 | Qwen1.5-72B |
|---|---|---|
| LMArena Non-English | 1404 | 1135 |
| LMArena Chinese | 1442 | 1186 |
| LMArena French | 1448 | 1159 |
| LMArena German | 1451 | 1084 |
| LMArena Korean | 1385 | 1050 |
| LMArena Russian | 1395 | 1104 |
| LMArena Spanish | 1409 | 1110 |
| LMArena Japanese | — | 1061 |

## Instruction Following

- Mistral Medium 3.5: 74.6 (#90)
- Qwen1.5-72B: 59.3 (#256)

| Benchmark | Mistral Medium 3.5 | Qwen1.5-72B |
|---|---|---|
| LMArena Instruction Following | 1415 | 1141 |

## Long Context

- Mistral Medium 3.5: 43.2 (#103)
- Qwen1.5-72B: 35.1 (#243)

| Benchmark | Mistral Medium 3.5 | Qwen1.5-72B |
|---|---|---|
| LMArena Longer Query | 1415 | 1157 |

## Writing & Preference

- Mistral Medium 3.5: 58.5 (#117)
- Qwen1.5-72B: 37.3 (#258)

| Benchmark | Mistral Medium 3.5 | Qwen1.5-72B |
|---|---|---|
| LMArena Text | 1421 | 1166 |
| LMArena Creative Writing | 1374 | 1137 |
| LMArena Multi-Turn | 1423 | 1160 |
| EQ-Bench 4 | 993 | — |

## FAQ

### Is Mistral Medium 3.5 better than Qwen1.5-72B?

Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 30.8 on the Noometry Index.

### Is Mistral Medium 3.5 or Qwen1.5-72B better for coding?

Mistral Medium 3.5 scores higher on coding benchmarks: 36.0 versus 31.9 in the Noometry coding category.

### How many benchmarks do Mistral Medium 3.5 and Qwen1.5-72B share?

16 benchmarks have published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen1.5-72B has 22.