# Mixtral 8x22B vs Qwen3.5 27B

> Qwen3.5 27B is the stronger model overall, scoring 41.9 to 27.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mixtral-8x22b-vs-qwen3-5-27b
- Last updated: 2026-10-12
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Mixtral 8x22B scores higher in 0 categories and Qwen3.5 27B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 27B leads 38.0 to 15.1.
- The biggest single-benchmark swing is WeirdML: 3.2% for Mixtral 8x22B and 39.5% for Qwen3.5 27B.
- Qwen3.5 27B is cheaper at $0.30 / $2.40 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- Qwen3.5 27B accepts more context: 262K tokens versus 64K.

## Snapshot

| | Mixtral 8x22B | Qwen3.5 27B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 27.1 | 41.9 |
| Rank | 333 | 127 |
| Context | 64K | 262K |
| Input $/M | $2 | $0.30 |
| Output $/M | $6 | $2.40 |
| Weights | Open | Open |

## Coding

- Mixtral 8x22B: 24.2 (#329)
- Qwen3.5 27B: 38.9 (#168)

| Benchmark | Mixtral 8x22B | Qwen3.5 27B |
|---|---|---|
| WeirdML | 3.2% | 39.5% |
| LMArena Coding | 1166 | 1427 |
| LMArena WebDev | — | 1358 |
| BigCodeBench Instruct | 40.6% | — |
| BigCodeBench Complete | 50.2% | — |
| ALE-Bench | — | 349.45 |
| HumanEval+ | 72% | — |
| MBPP+ | 64.3% | — |

## Agentic & Tool Use

- Mixtral 8x22B: 23.1 (#127)
- Qwen3.5 27B: —

| Benchmark | Mixtral 8x22B | Qwen3.5 27B |
|---|---|---|
| Cybench | 7.5% | — |
| Vending-Bench 2 | — | 201.98 |

## Reasoning

- Mixtral 8x22B: 19.9 (#248)
- Qwen3.5 27B: 27.5 (#117)

| Benchmark | Mixtral 8x22B | Qwen3.5 27B |
|---|---|---|
| LMArena Hard Prompts | 1150 | 1414 |
| DTBench | 55.1% | 82.4% |
| NYT Connections (extended) | — | 47.9% |
| Thematic Generalization | — | 45.5% |
| LMCA | — | 34% |
| Epoch Capabilities Index | 122.03 | — |
| ForecastBench | 56.3 | — |

## Math

- Mixtral 8x22B: 22.9 (#275)
- Qwen3.5 27B: 38.8 (#127)

| Benchmark | Mixtral 8x22B | Qwen3.5 27B |
|---|---|---|
| LMArena Math | 1184 | 1429 |
| MathArena Final-Answer Competitions | — | 56.7% |
| Omni-MATH | 16.3% | — |
| MATH Level 5 | 24.2% | — |

## Knowledge

- Mixtral 8x22B: 15.1 (#293)
- Qwen3.5 27B: 38.0 (#150)

| Benchmark | Mixtral 8x22B | Qwen3.5 27B |
|---|---|---|
| LMArena Expert | 1113 | 1428 |
| GPQA Diamond | 34.1% | — |
| MMLU-Pro | 46% | — |
| Vectara Hallucination Rate | — | 12.1% |
| GPQA (HELM) | 33.4% | — |
| MMLU | 77.8% | — |

## Multimodal

- Mixtral 8x22B: —
- Qwen3.5 27B: 39.4 (#59)

| Benchmark | Mixtral 8x22B | Qwen3.5 27B |
|---|---|---|
| LMArena Vision | — | 1241 |

## Multilingual

- Mixtral 8x22B: 32.8 (#255)
- Qwen3.5 27B: 50.8 (#115)

| Benchmark | Mixtral 8x22B | Qwen3.5 27B |
|---|---|---|
| LMArena Non-English | 1128 | 1390 |
| LMArena Chinese | 1116 | 1478 |
| LMArena French | 1166 | 1410 |
| LMArena German | 1141 | 1393 |
| LMArena Japanese | 1037 | 1345 |
| LMArena Korean | 1057 | 1358 |
| LMArena Russian | 1158 | 1390 |
| LMArena Spanish | 1151 | 1407 |

## Instruction Following

- Mixtral 8x22B: 57.7 (#266)
- Qwen3.5 27B: 73.5 (#119)

| Benchmark | Mixtral 8x22B | Qwen3.5 27B |
|---|---|---|
| LMArena Instruction Following | 1147 | 1393 |
| IFEval | 72.4% | — |

## Long Context

- Mixtral 8x22B: 34.7 (#247)
- Qwen3.5 27B: 43.1 (#106)

| Benchmark | Mixtral 8x22B | Qwen3.5 27B |
|---|---|---|
| LMArena Longer Query | 1144 | 1413 |

## Writing & Preference

- Mixtral 8x22B: 36.9 (#262)
- Qwen3.5 27B: 59.3 (#111)

| Benchmark | Mixtral 8x22B | Qwen3.5 27B |
|---|---|---|
| LMArena Text | 1162 | 1409 |
| LMArena Creative Writing | 1141 | 1362 |
| LMArena Multi-Turn | 1130 | 1410 |
| WildBench | 71.1% | — |

## FAQ

### Is Mixtral 8x22B better than Qwen3.5 27B?

Qwen3.5 27B is the stronger model overall, scoring 41.9 to 27.1 on the Noometry Index.

### Which is cheaper, Mixtral 8x22B or Qwen3.5 27B?

Qwen3.5 27B is cheaper. It lists at $0.30 per million input tokens and $2.40 per million output tokens; Mixtral 8x22B lists at $2 and $6.

### Is Mixtral 8x22B or Qwen3.5 27B better for coding?

Qwen3.5 27B scores higher on coding benchmarks: 38.9 versus 24.2 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.5 27B does, with 262K tokens against 64K.

### How many benchmarks do Mixtral 8x22B and Qwen3.5 27B share?

19 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Qwen3.5 27B has 28.