# Mistral Small vs Qwen Turbo

> Mistral Small is the stronger model overall, scoring 33.4 to 27.1 on the Noometry Index. Qwen Turbo costs 3.0× less per token, which makes it the better buy when Mistral Small's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mistral-small-vs-qwen-turbo
- Last updated: 2026-10-12
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. Mistral Small scores higher in 2 categories and Qwen Turbo in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Small leads 31.0 to 22.2.
- The biggest single-benchmark swing is MATH Level 5: 46.8% for Mistral Small and 56.2% for Qwen Turbo.
- Qwen Turbo is cheaper at $0.05 / $0.20 per million input/output tokens, against $0.15 / $0.60 for Mistral Small.
- Qwen Turbo accepts more context: 1M tokens versus 262K.
- Mistral Small has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral Small | Qwen Turbo |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 33.4 | 27.1 |
| Rank | 243 | 335 |
| Context | 262K | 1M |
| Input $/M | $0.15 | $0.05 |
| Output $/M | $0.60 | $0.20 |
| Weights | Open | Proprietary |

## Coding

- Mistral Small: 34.0 (#247)
- Qwen Turbo: —

| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| SciCode | 26.5% | — |
| BigCodeBench Instruct | 36.1% | — |
| LiveBench Coding | 36.2% | — |
| LMArena Coding | 1362 | — |
| BigCodeBench Complete | 46.6% | — |
| ALE-Bench | 497.62 | — |

## Agentic & Tool Use

- Mistral Small: 28.1 (#93)
- Qwen Turbo: —

| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.1% | — |

## Reasoning

- Mistral Small: 19.8 (#250)
- Qwen Turbo: —

| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 44.8% | — |
| LMArena Hard Prompts | 1335 | — |
| DTBench | 70.9% | — |
| LiveBench Data Analysis | 53.7% | — |
| LMCA | 20.6% | — |
| LiveBench | 44% | — |

## Math

- Mistral Small: 16.4 (#293)
- Qwen Turbo: 15.3 (#297)

| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 5.8% | 6.1% |
| MATH Level 5 | 46.8% | 56.2% |
| LiveBench Math | 39.9% | — |
| LMArena Math | 1341 | — |

## Knowledge

- Mistral Small: 31.0 (#222)
- Qwen Turbo: 22.2 (#272)

| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| GPQA Diamond | 47.5% | 41.8% |
| Vectara Hallucination Rate | 5.1% | — |
| LMArena Expert | 1291 | — |
| MMLU | 68.7% | — |

## Multimodal

- Mistral Small: 33.5 (#96)
- Qwen Turbo: —

| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| LMArena Vision | 1142 | — |

## Multilingual

- Mistral Small: 45.5 (#169)
- Qwen Turbo: —

| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| LMArena Non-English | 1315 | — |
| LMArena Chinese | 1340 | — |
| LMArena French | 1337 | — |
| LMArena German | 1340 | — |
| LMArena Japanese | 1275 | — |
| LMArena Korean | 1259 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1346 | — |

## Instruction Following

- Mistral Small: 66.4 (#209)
- Qwen Turbo: —

| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| LiveBench Instruction Following | 63.7% | — |
| LMArena Instruction Following | 1310 | — |

## Long Context

- Mistral Small: 40.4 (#156)
- Qwen Turbo: —

| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| LMArena Longer Query | 1327 | — |

## Writing & Preference

- Mistral Small: 52.5 (#171)
- Qwen Turbo: —

| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| LMArena Text | 1338 | — |
| LMArena Creative Writing | 1305 | — |
| LMArena Multi-Turn | 1344 | — |
| LiveBench Language | 30.5% | — |

## FAQ

### Is Mistral Small better than Qwen Turbo?

Mistral Small is the stronger model overall, scoring 33.4 to 27.1 on the Noometry Index. Qwen Turbo costs 3.0× less per token, which makes it the better buy when Mistral Small's lead doesn't matter for your workload.

### Which is cheaper, Mistral Small or Qwen Turbo?

Qwen Turbo is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; Mistral Small lists at $0.15 and $0.60.

### Which has the bigger context window?

Qwen Turbo does, with 1M tokens against 262K.

### How many benchmarks do Mistral Small and Qwen Turbo share?

3 benchmarks have published results for both models. Mistral Small has 39 scored results on Noometry and Qwen Turbo has 3.