# Mixtral 8x22B vs Qwen1.5-7B

> Qwen1.5-7B is the stronger model overall, scoring 30.8 to 26.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mixtral-8x22b-vs-qwen1-5-7b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Mixtral 8x22B scores higher in 4 categories and Qwen1.5-7B in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen1.5-7B leads 28.2 to 15.1.

## Snapshot

| | Mixtral 8x22B | Qwen1.5-7B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.7 | 30.8 |
| Rank | 330 | 270 |
| Context | 64K | — |
| Input $/M | $2 | — |
| Output $/M | $6 | — |
| Weights | Open | Open |

## Coding

- Mixtral 8x22B: 23.8 (#324)
- Qwen1.5-7B: 31.6 (#271)

| Benchmark | Mixtral 8x22B | Qwen1.5-7B |
|---|---|---|
| LMArena Coding | 1166 | 1107 |
| WeirdML | 3.2% | — |
| BigCodeBench Instruct | 40.6% | — |
| BigCodeBench Complete | 50.2% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 64.3% | — |

## Agentic & Tool Use

- Mixtral 8x22B: 22.8 (#119)
- Qwen1.5-7B: —

| Benchmark | Mixtral 8x22B | Qwen1.5-7B |
|---|---|---|
| Cybench | 7.5% | — |

## Reasoning

- Mixtral 8x22B: 19.1 (#246)
- Qwen1.5-7B: 19.5 (#237)

| Benchmark | Mixtral 8x22B | Qwen1.5-7B |
|---|---|---|
| LMArena Hard Prompts | 1150 | 1066 |
| DTBench | 55.1% | — |
| Epoch Capabilities Index | 122 | — |
| ForecastBench | 56.3 | — |

## Math

- Mixtral 8x22B: 21.2 (#271)
- Qwen1.5-7B: 29.0 (#222)

| Benchmark | Mixtral 8x22B | Qwen1.5-7B |
|---|---|---|
| LMArena Math | 1184 | 1080 |
| Omni-MATH | 16.3% | — |
| MATH Level 5 | 24.2% | — |

## Knowledge

- Mixtral 8x22B: 15.1 (#288)
- Qwen1.5-7B: 28.2 (#239)

| Benchmark | Mixtral 8x22B | Qwen1.5-7B |
|---|---|---|
| LMArena Expert | 1113 | 1055 |
| MMLU | 77.8% | 62.6% |
| GPQA Diamond | 34.1% | — |
| MMLU-Pro | 46% | — |
| GPQA (HELM) | 33.4% | — |

## Multilingual

- Mixtral 8x22B: 32.9 (#250)
- Qwen1.5-7B: 28.6 (#266)

| Benchmark | Mixtral 8x22B | Qwen1.5-7B |
|---|---|---|
| LMArena Non-English | 1128 | 1058 |
| LMArena Chinese | 1116 | 1140 |
| LMArena Russian | 1158 | 1006 |
| LMArena French | 1165 | — |
| LMArena German | 1141 | — |
| LMArena Japanese | 1037 | — |
| LMArena Korean | 1056 | — |
| LMArena Spanish | 1150 | — |

## Instruction Following

- Mixtral 8x22B: 57.9 (#261)
- Qwen1.5-7B: 54.4 (#276)

| Benchmark | Mixtral 8x22B | Qwen1.5-7B |
|---|---|---|
| LMArena Instruction Following | 1147 | 1058 |
| IFEval | 72.4% | — |

## Long Context

- Mixtral 8x22B: 34.6 (#242)
- Qwen1.5-7B: 33.1 (#261)

| Benchmark | Mixtral 8x22B | Qwen1.5-7B |
|---|---|---|
| LMArena Longer Query | 1144 | 1090 |

## Writing & Preference

- Mixtral 8x22B: 37.1 (#257)
- Qwen1.5-7B: 29.8 (#288)

| Benchmark | Mixtral 8x22B | Qwen1.5-7B |
|---|---|---|
| LMArena Text | 1162 | 1084 |
| LMArena Creative Writing | 1141 | 1035 |
| LMArena Multi-Turn | 1130 | 1061 |
| WildBench | 71.1% | — |

## FAQ

### Is Mixtral 8x22B better than Qwen1.5-7B?

Qwen1.5-7B is the stronger model overall, scoring 30.8 to 26.7 on the Noometry Index.

### Is Mixtral 8x22B or Qwen1.5-7B better for coding?

Qwen1.5-7B scores higher on coding benchmarks: 31.6 versus 23.8 in the Noometry coding category.

### How many benchmarks do Mixtral 8x22B and Qwen1.5-7B share?

13 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Qwen1.5-7B has 13.