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

> Mistral Small and Qwen2.5-Coder-32B score almost the same on the Noometry Index (33.4 vs 33.4), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/mistral-small-vs-qwen2-5-coder-32b
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Mistral Small scores higher in 5 categories and Qwen2.5-Coder-32B in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen2.5-Coder-32B leads 33.3 to 16.4.
- The biggest single-benchmark swing is LiveBench Coding: 36.2% for Mistral Small and 56.9% for Qwen2.5-Coder-32B.
- Mistral Small is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.66 / $1 for Qwen2.5-Coder-32B.
- Mistral Small accepts more context: 262K tokens versus 33K.

## Snapshot

| | Mistral Small | Qwen2.5-Coder-32B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 33.4 | 33.4 |
| Rank | 243 | 245 |
| Context | 262K | 33K |
| Input $/M | $0.15 | $0.66 |
| Output $/M | $0.60 | $1 |
| Weights | Open | Open |

## Coding

- Mistral Small: 34.0 (#247)
- Qwen2.5-Coder-32B: 22.6 (#333)

| Benchmark | Mistral Small | Qwen2.5-Coder-32B |
|---|---|---|
| BigCodeBench Instruct | 36.1% | 49% |
| LiveBench Coding | 36.2% | 56.9% |
| LMArena Coding | 1362 | 1276 |
| BigCodeBench Complete | 46.6% | 58% |
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| SciCode | 26.5% | — |
| ALE-Bench | 497.62 | — |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |

## Agentic & Tool Use

- Mistral Small: 28.1 (#93)
- Qwen2.5-Coder-32B: —

| Benchmark | Mistral Small | Qwen2.5-Coder-32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.1% | — |

## Reasoning

- Mistral Small: 19.8 (#250)
- Qwen2.5-Coder-32B: 21.2 (#225)

| Benchmark | Mistral Small | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Reasoning | 44.8% | 42.1% |
| LMArena Hard Prompts | 1335 | 1251 |
| LiveBench Data Analysis | 53.7% | 49.9% |
| LiveBench | 44% | 46.2% |
| Kagi LLM Benchmark | 37.8% | — |
| CritPt | 0% | — |
| DTBench | 70.9% | — |
| LMCA | 20.6% | — |
| Epoch Capabilities Index | — | 119.49 |
| HellaSwag | — | 83% |
| WinoGrande | — | 80.8% |

## Math

- Mistral Small: 16.4 (#293)
- Qwen2.5-Coder-32B: 33.3 (#204)

| Benchmark | Mistral Small | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Math | 39.9% | 46.6% |
| LMArena Math | 1341 | 1251 |
| OTIS Mock AIME 2024-2025 | 5.8% | — |
| MATH Level 5 | 46.8% | — |
| GSM8K | — | 93% |

## Knowledge

- Mistral Small: 31.0 (#222)
- Qwen2.5-Coder-32B: 33.4 (#203)

| Benchmark | Mistral Small | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | 1291 | 1221 |
| MMLU | 68.7% | 79.1% |
| GPQA Diamond | 47.5% | — |
| Vectara Hallucination Rate | 5.1% | — |
| ARC (AI2) Challenge | — | 70.5% |

## Multimodal

- Mistral Small: 33.5 (#96)
- Qwen2.5-Coder-32B: —

| Benchmark | Mistral Small | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Vision | 1142 | — |

## Multilingual

- Mistral Small: 45.5 (#169)
- Qwen2.5-Coder-32B: 37.8 (#235)

| Benchmark | Mistral Small | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | 1315 | 1205 |
| LMArena Chinese | 1340 | 1222 |
| LMArena Russian | 1324 | 1228 |
| LMArena French | 1337 | — |
| LMArena German | 1340 | — |
| LMArena Japanese | 1275 | — |
| LMArena Korean | 1259 | — |
| LMArena Spanish | 1346 | — |

## Instruction Following

- Mistral Small: 66.4 (#209)
- Qwen2.5-Coder-32B: 61.4 (#245)

| Benchmark | Mistral Small | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Instruction Following | 63.7% | 58.7% |
| LMArena Instruction Following | 1310 | 1223 |

## Long Context

- Mistral Small: 40.4 (#156)
- Qwen2.5-Coder-32B: 38.0 (#208)

| Benchmark | Mistral Small | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | 1327 | 1251 |

## Writing & Preference

- Mistral Small: 52.5 (#171)
- Qwen2.5-Coder-32B: 41.6 (#240)

| Benchmark | Mistral Small | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | 1338 | 1230 |
| LMArena Creative Writing | 1305 | 1174 |
| LMArena Multi-Turn | 1344 | 1222 |
| LiveBench Language | 30.5% | 23.3% |

## FAQ

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

Mistral Small and Qwen2.5-Coder-32B score almost the same on the Noometry Index (33.4 vs 33.4), so choose on price, context window or the category you care about most.

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

Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Qwen2.5-Coder-32B lists at $0.66 and $1.

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

Mistral Small scores higher on coding benchmarks: 34.0 versus 22.6 in the Noometry coding category.

### Which has the bigger context window?

Mistral Small does, with 262K tokens against 33K.

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

22 benchmarks have published results for both models. Mistral Small has 39 scored results on Noometry and Qwen2.5-Coder-32B has 31.