# Mixtral 8x22B vs Qwen3-4B

> Qwen3-4B is the stronger model overall, scoring 31.5 to 26.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mixtral-8x22b-vs-qwen3-4b
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Mixtral 8x22B scores higher in 1 category and Qwen3-4B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-4B leads 33.0 to 15.1.
- The biggest single-benchmark swing is GPQA Diamond: 34.1% for Mixtral 8x22B and 52.3% for Qwen3-4B.

## Snapshot

| | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.7 | 31.5 |
| Rank | 330 | 261 |
| Context | 64K | — |
| Input $/M | $2 | — |
| Output $/M | $6 | — |
| Weights | Open | Open |

## Coding

- Mixtral 8x22B: 23.8 (#324)
- Qwen3-4B: —

| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| WeirdML | 3.2% | — |
| BigCodeBench Instruct | 40.6% | — |
| LMArena Coding | 1166 | — |
| BigCodeBench Complete | 50.2% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 64.3% | — |

## Agentic & Tool Use

- Mixtral 8x22B: 22.8 (#119)
- Qwen3-4B: 27.3 (#94)

| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |
| Cybench | 7.5% | — |

## Reasoning

- Mixtral 8x22B: 19.1 (#246)
- Qwen3-4B: 18.5 (#264)

| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1150 | — |
| DTBench | 55.1% | — |
| Epoch Capabilities Index | 122 | — |
| ForecastBench | 56.3 | — |

## Math

- Mixtral 8x22B: 21.2 (#271)
- Qwen3-4B: 28.5 (#228)

| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| Omni-MATH | 16.3% | — |
| LMArena Math | 1184 | — |
| MATH Level 5 | 24.2% | — |

## Knowledge

- Mixtral 8x22B: 15.1 (#288)
- Qwen3-4B: 33.0 (#198)

| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| GPQA Diamond | 34.1% | 52.3% |
| MMLU-Pro | 46% | — |
| Vectara Hallucination Rate | — | 5.7% |
| GPQA (HELM) | 33.4% | — |
| LMArena Expert | 1113 | — |
| MMLU | 77.8% | — |

## Multilingual

- Mixtral 8x22B: 32.9 (#250)
- Qwen3-4B: —

| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| LMArena Non-English | 1128 | — |
| LMArena Chinese | 1116 | — |
| LMArena French | 1165 | — |
| LMArena German | 1141 | — |
| LMArena Japanese | 1037 | — |
| LMArena Korean | 1056 | — |
| LMArena Russian | 1158 | — |
| LMArena Spanish | 1150 | — |

## Instruction Following

- Mixtral 8x22B: 57.9 (#261)
- Qwen3-4B: —

| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| IFEval | 72.4% | — |
| LMArena Instruction Following | 1147 | — |

## Long Context

- Mixtral 8x22B: 34.6 (#242)
- Qwen3-4B: —

| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 1144 | — |

## Writing & Preference

- Mixtral 8x22B: 37.1 (#257)
- Qwen3-4B: —

| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| LMArena Text | 1162 | — |
| LMArena Creative Writing | 1141 | — |
| WildBench | 71.1% | — |
| LMArena Multi-Turn | 1130 | — |

## FAQ

### Is Mixtral 8x22B better than Qwen3-4B?

Qwen3-4B is the stronger model overall, scoring 31.5 to 26.7 on the Noometry Index.

### How many benchmarks do Mixtral 8x22B and Qwen3-4B share?

1 benchmark has published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Qwen3-4B has 6.