# Mistral Medium 3.5 vs Qwen2.5-Coder-32B

> Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 32.9 on the Noometry Index. Qwen2.5-Coder-32B costs 4.0× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mistral-medium-3-5-vs-qwen2-5-coder-32b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Mistral Medium 3.5 scores higher in 7 categories and Qwen2.5-Coder-32B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium 3.5 leads 58.6 to 41.8.
- Qwen2.5-Coder-32B is cheaper at $0.66 / $1 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- Mistral Medium 3.5 accepts more context: 262K tokens versus 33K.

## Snapshot

| | Mistral Medium 3.5 | Qwen2.5-Coder-32B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 39.6 | 32.9 |
| Rank | 151 | 239 |
| Context | 262K | 33K |
| Input $/M | $1.50 | $0.66 |
| Output $/M | $7.50 | $1 |
| Weights | Open | Open |

## Coding

- Mistral Medium 3.5: 35.7 (#208)
- Qwen2.5-Coder-32B: 22.4 (#328)

| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Coding | 1461 | 1276 |
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| LMArena WebDev | 1263 | — |
| BigCodeBench Instruct | — | 49% |
| LiveBench Coding | — | 56.9% |
| BigCodeBench Complete | — | 58% |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |

## Reasoning

- Mistral Medium 3.5: 16.6 (#290)
- Qwen2.5-Coder-32B: 20.4 (#220)

| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Hard Prompts | 1436 | 1251 |
| Epoch Capabilities Index | 141.42 | 119.41 |
| Kagi LLM Benchmark | 41.4% | — |
| NYT Connections (extended) | 12.9% | — |
| LiveBench Reasoning | — | 42.1% |
| LiveBench Data Analysis | — | 49.9% |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |

## Math

- Mistral Medium 3.5: 36.4 (#113)
- Qwen2.5-Coder-32B: 30.8 (#203)

| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Math | 1432 | 1251 |
| LiveBench Math | — | 46.6% |
| GSM8K | — | 93% |

## Knowledge

- Mistral Medium 3.5: 39.3 (#123)
- Qwen2.5-Coder-32B: 32.9 (#200)

| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | 1431 | 1221 |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |

## Multimodal

- Mistral Medium 3.5: 37.6 (#64)
- Qwen2.5-Coder-32B: —

| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Vision | 1222 | — |

## Multilingual

- Mistral Medium 3.5: 52.1 (#93)
- Qwen2.5-Coder-32B: 38.0 (#230)

| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | 1405 | 1205 |
| LMArena Chinese | 1443 | 1222 |
| LMArena Russian | 1396 | 1228 |
| LMArena French | 1448 | — |
| LMArena German | 1453 | — |
| LMArena Korean | 1387 | — |
| LMArena Spanish | 1406 | — |

## Instruction Following

- Mistral Medium 3.5: 74.7 (#87)
- Qwen2.5-Coder-32B: 61.6 (#240)

| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Instruction Following | 1414 | 1223 |
| LiveBench Instruction Following | — | 58.7% |

## Long Context

- Mistral Medium 3.5: 43.2 (#101)
- Qwen2.5-Coder-32B: 37.9 (#204)

| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | 1414 | 1251 |

## Writing & Preference

- Mistral Medium 3.5: 58.6 (#113)
- Qwen2.5-Coder-32B: 41.8 (#235)

| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | 1421 | 1230 |
| LMArena Creative Writing | 1372 | 1174 |
| LMArena Multi-Turn | 1423 | 1222 |
| EQ-Bench 4 | 993 | — |
| LiveBench Language | — | 23.3% |

## FAQ

### Is Mistral Medium 3.5 better than Qwen2.5-Coder-32B?

Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 32.9 on the Noometry Index. Qwen2.5-Coder-32B costs 4.0× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.

### Which is cheaper, Mistral Medium 3.5 or Qwen2.5-Coder-32B?

Qwen2.5-Coder-32B is cheaper. It lists at $0.66 per million input tokens and $1 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

### Is Mistral Medium 3.5 or Qwen2.5-Coder-32B better for coding?

Mistral Medium 3.5 scores higher on coding benchmarks: 35.7 versus 22.4 in the Noometry coding category.

### Which has the bigger context window?

Mistral Medium 3.5 does, with 262K tokens against 33K.

### How many benchmarks do Mistral Medium 3.5 and Qwen2.5-Coder-32B share?

13 benchmarks have published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen2.5-Coder-32B has 31.