# Mistral 7B vs Qwen2.5 32B Instruct

> Qwen2.5 32B Instruct is the stronger model overall, scoring 29.7 to 22.9 on the Noometry Index. Mistral 7B costs 4.9× less per token, which makes it the better buy when Qwen2.5 32B Instruct's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mistral-7b-vs-qwen2-5-32b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 7

## Summary

- They share 7 benchmarks with published results for both. Mistral 7B scores higher in 0 categories and Qwen2.5 32B Instruct in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen2.5 32B Instruct leads 24.9 to 7.3.
- The biggest single-benchmark swing is MATH Level 5: 3.7% for Mistral 7B and 56.1% for Qwen2.5 32B Instruct.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.70 / $2.80 for Qwen2.5 32B Instruct.
- Qwen2.5 32B Instruct accepts more context: 131K tokens versus 8K.

## Snapshot

| | Mistral 7B | Qwen2.5 32B Instruct |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 22.9 | 29.7 |
| Rank | 346 | 291 |
| Context | 8K | 131K |
| Input $/M | $0.25 | $0.70 |
| Output $/M | $0.25 | $2.80 |
| Weights | Open | Open |

## Coding

- Mistral 7B: 25.9 (#321)
- Qwen2.5 32B Instruct: 38.1 (#165)

| Benchmark | Mistral 7B | Qwen2.5 32B Instruct |
|---|---|---|
| BigCodeBench Instruct | 19.5% | 45% |
| BigCodeBench Complete | 27.3% | 52.3% |
| LMArena Coding | 1082 | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |

## Reasoning

- Mistral 7B: 12.6 (#331)
- Qwen2.5 32B Instruct: 18.5 (#262)

| Benchmark | Mistral 7B | Qwen2.5 32B Instruct |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| Epoch Capabilities Index | 111.97 | 128.52 |
| LMArena Hard Prompts | 1067 | — |
| DTBench | 42.5% | — |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |

## Math

- Mistral 7B: 7.6 (#319)
- Qwen2.5 32B Instruct: 15.3 (#289)

| Benchmark | Mistral 7B | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | 7.4% |
| MATH Level 5 | 3.7% | 56.1% |
| LMArena Math | 1085 | — |
| GSM8K | 54.4% | — |

## Knowledge

- Mistral 7B: 7.3 (#306)
- Qwen2.5 32B Instruct: 24.9 (#259)

| Benchmark | Mistral 7B | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | 15.2% | 46.1% |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |

## Multilingual

- Mistral 7B: 26.0 (#278)
- Qwen2.5 32B Instruct: —

| Benchmark | Mistral 7B | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Non-English | 1012 | — |
| LMArena Chinese | 1009 | — |
| LMArena French | 1036 | — |
| LMArena German | 987 | — |
| LMArena Japanese | 878 | — |
| LMArena Russian | 1018 | — |
| LMArena Spanish | 1026 | — |

## Instruction Following

- Mistral 7B: 54.5 (#275)
- Qwen2.5 32B Instruct: —

| Benchmark | Mistral 7B | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Instruction Following | 1060 | — |

## Long Context

- Mistral 7B: 32.2 (#266)
- Qwen2.5 32B Instruct: —

| Benchmark | Mistral 7B | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Longer Query | 1060 | — |

## Writing & Preference

- Mistral 7B: 30.9 (#281)
- Qwen2.5 32B Instruct: —

| Benchmark | Mistral 7B | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Text | 1090 | — |
| LMArena Creative Writing | 1068 | — |
| LMArena Multi-Turn | 1062 | — |

## FAQ

### Is Mistral 7B better than Qwen2.5 32B Instruct?

Qwen2.5 32B Instruct is the stronger model overall, scoring 29.7 to 22.9 on the Noometry Index. Mistral 7B costs 4.9× less per token, which makes it the better buy when Qwen2.5 32B Instruct's lead doesn't matter for your workload.

### Which is cheaper, Mistral 7B or Qwen2.5 32B Instruct?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Qwen2.5 32B Instruct lists at $0.70 and $2.80.

### Is Mistral 7B or Qwen2.5 32B Instruct better for coding?

Qwen2.5 32B Instruct scores higher on coding benchmarks: 38.1 versus 25.9 in the Noometry coding category.

### Which has the bigger context window?

Qwen2.5 32B Instruct does, with 131K tokens against 8K.

### How many benchmarks do Mistral 7B and Qwen2.5 32B Instruct share?

7 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Qwen2.5 32B Instruct has 7.