# Mistral Small 3.2 vs Qwen2.5-Coder-32B

> Qwen2.5-Coder-32B is the stronger model overall, scoring 32.9 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 5.6× less per token, which makes it the better buy when Qwen2.5-Coder-32B's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mistral-small-3-2-vs-qwen2-5-coder-32b
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Mistral Small 3.2 scores higher in 1 category and Qwen2.5-Coder-32B in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen2.5-Coder-32B leads 32.9 to 26.8.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.66 / $1 for Qwen2.5-Coder-32B.
- Mistral Small 3.2 accepts more context: 256K tokens versus 33K.

## Snapshot

| | Mistral Small 3.2 | Qwen2.5-Coder-32B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 30.8 | 32.9 |
| Rank | 271 | 239 |
| Context | 256K | 33K |
| Input $/M | $0.0938 | $0.66 |
| Output $/M | $0.25 | $1 |
| Weights | Open | Open |

## Coding

- Mistral Small 3.2: —
- Qwen2.5-Coder-32B: 22.4 (#328)

| Benchmark | Mistral Small 3.2 | Qwen2.5-Coder-32B |
|---|---|---|
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| BigCodeBench Instruct | — | 49% |
| LiveBench Coding | — | 56.9% |
| LMArena Coding | — | 1276 |
| BigCodeBench Complete | — | 58% |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |

## Reasoning

- Mistral Small 3.2: 17.5 (#282)
- Qwen2.5-Coder-32B: 20.4 (#220)

| Benchmark | Mistral Small 3.2 | Qwen2.5-Coder-32B |
|---|---|---|
| Epoch Capabilities Index | 131.73 | 119.41 |
| Kagi LLM Benchmark | 40.4% | — |
| Chess Puzzles | 1% | — |
| LiveBench Reasoning | — | 42.1% |
| LMArena Hard Prompts | — | 1251 |
| LiveBench Data Analysis | — | 49.9% |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |

## Math

- Mistral Small 3.2: 24.9 (#251)
- Qwen2.5-Coder-32B: 30.8 (#203)

| Benchmark | Mistral Small 3.2 | Qwen2.5-Coder-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | — |
| LiveBench Math | — | 46.6% |
| LMArena Math | — | 1251 |
| GSM8K | — | 93% |

## Knowledge

- Mistral Small 3.2: 26.8 (#249)
- Qwen2.5-Coder-32B: 32.9 (#200)

| Benchmark | Mistral Small 3.2 | Qwen2.5-Coder-32B |
|---|---|---|
| GPQA Diamond | 49.1% | — |
| LMArena Expert | — | 1221 |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |

## Multilingual

- Mistral Small 3.2: —
- Qwen2.5-Coder-32B: 38.0 (#230)

| Benchmark | Mistral Small 3.2 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | — | 1205 |
| LMArena Chinese | — | 1222 |
| LMArena Russian | — | 1228 |

## Instruction Following

- Mistral Small 3.2: —
- Qwen2.5-Coder-32B: 61.6 (#240)

| Benchmark | Mistral Small 3.2 | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Instruction Following | — | 58.7% |
| LMArena Instruction Following | — | 1223 |

## Long Context

- Mistral Small 3.2: —
- Qwen2.5-Coder-32B: 37.9 (#204)

| Benchmark | Mistral Small 3.2 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | — | 1251 |

## Writing & Preference

- Mistral Small 3.2: 45.1 (#219)
- Qwen2.5-Coder-32B: 41.8 (#235)

| Benchmark | Mistral Small 3.2 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | — | 1230 |
| LMArena Creative Writing | — | 1174 |
| EQ-Bench Creative Writing | 1255 | — |
| LMArena Multi-Turn | — | 1222 |
| LiveBench Language | — | 23.3% |

## FAQ

### Is Mistral Small 3.2 better than Qwen2.5-Coder-32B?

Qwen2.5-Coder-32B is the stronger model overall, scoring 32.9 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 5.6× less per token, which makes it the better buy when Qwen2.5-Coder-32B's lead doesn't matter for your workload.

### Which is cheaper, Mistral Small 3.2 or Qwen2.5-Coder-32B?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Qwen2.5-Coder-32B lists at $0.66 and $1.

### Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 33K.

### How many benchmarks do Mistral Small 3.2 and Qwen2.5-Coder-32B share?

1 benchmark has published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Qwen2.5-Coder-32B has 31.