# Mixtral 8x22B vs Qwen3.6 Max Preview

> Qwen3.6 Max Preview is the stronger model overall, scoring 51.5 to 27.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mixtral-8x22b-vs-qwen3-6-max-preview
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Mixtral 8x22B scores higher in 0 categories and Qwen3.6 Max Preview in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 Max Preview leads 57.6 to 15.1.
- The biggest single-benchmark swing is GPQA Diamond: 34.1% for Mixtral 8x22B and 87.4% for Qwen3.6 Max Preview.
- Both cost about the same: $2 input and $6 output per million tokens.
- Qwen3.6 Max Preview accepts more context: 262K tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.

## Snapshot

| | Mixtral 8x22B | Qwen3.6 Max Preview |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 27.1 | 51.5 |
| Rank | 333 | 43 |
| Context | 64K | 262K |
| Input $/M | $2 | $1.30 |
| Output $/M | $6 | $7.80 |
| Weights | Open | Proprietary |

## Coding

- Mixtral 8x22B: 24.2 (#329)
- Qwen3.6 Max Preview: 48.7 (#54)

| Benchmark | Mixtral 8x22B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Coding | 1166 | 1471 |
| SWE-bench Verified | — | 76.7% |
| LMArena WebDev | — | 1482 |
| WeirdML | 3.2% | — |
| BigCodeBench Instruct | 40.6% | — |
| BigCodeBench Complete | 50.2% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 64.3% | — |

## Agentic & Tool Use

- Mixtral 8x22B: 23.1 (#127)
- Qwen3.6 Max Preview: —

| Benchmark | Mixtral 8x22B | Qwen3.6 Max Preview |
|---|---|---|
| Cybench | 7.5% | — |
| Vending-Bench 2 | — | 4,254 |

## Reasoning

- Mixtral 8x22B: 19.9 (#248)
- Qwen3.6 Max Preview: 41.7 (#53)

| Benchmark | Mixtral 8x22B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Hard Prompts | 1150 | 1457 |
| DTBench | 55.1% | 87.2% |
| Epoch Capabilities Index | 122.03 | 149.24 |
| SimpleBench | — | 63% |
| NYT Connections (extended) | — | 74.1% |
| Chess Puzzles | — | 20% |
| Mystery Game Puzzles | — | 19% |
| LMCA | — | 42.5% |
| ForecastBench | 56.3 | — |

## Math

- Mixtral 8x22B: 22.9 (#275)
- Qwen3.6 Max Preview: 54.1 (#46)

| Benchmark | Mixtral 8x22B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Math | 1184 | 1465 |
| OTIS Mock AIME 2024-2025 | — | 91.1% |
| Omni-MATH | 16.3% | — |
| MATH Level 5 | 24.2% | — |
| FrontierMath (Feb 2025 set) | — | 23.1% |
| FrontierMath Tier 4 (v1) | — | 4.2% |

## Knowledge

- Mixtral 8x22B: 15.1 (#293)
- Qwen3.6 Max Preview: 57.6 (#39)

| Benchmark | Mixtral 8x22B | Qwen3.6 Max Preview |
|---|---|---|
| GPQA Diamond | 34.1% | 87.4% |
| LMArena Expert | 1113 | 1478 |
| SimpleQA Verified | — | 52% |
| MMLU-Pro | 46% | — |
| GPQA (HELM) | 33.4% | — |
| MMLU | 77.8% | — |

## Multilingual

- Mixtral 8x22B: 32.8 (#255)
- Qwen3.6 Max Preview: 54.2 (#48)

| Benchmark | Mixtral 8x22B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Non-English | 1128 | 1437 |
| LMArena Chinese | 1116 | 1487 |
| LMArena French | 1166 | 1449 |
| LMArena Russian | 1158 | 1445 |
| LMArena Spanish | 1151 | 1454 |
| LMArena German | 1141 | — |
| LMArena Japanese | 1037 | — |
| LMArena Korean | 1057 | — |

## Instruction Following

- Mixtral 8x22B: 57.7 (#266)
- Qwen3.6 Max Preview: 75.7 (#55)

| Benchmark | Mixtral 8x22B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Instruction Following | 1147 | 1438 |
| IFEval | 72.4% | — |

## Long Context

- Mixtral 8x22B: 34.7 (#247)
- Qwen3.6 Max Preview: 44.6 (#61)

| Benchmark | Mixtral 8x22B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Longer Query | 1144 | 1457 |

## Writing & Preference

- Mixtral 8x22B: 36.9 (#262)
- Qwen3.6 Max Preview: 63.8 (#60)

| Benchmark | Mixtral 8x22B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Text | 1162 | 1447 |
| LMArena Creative Writing | 1141 | 1435 |
| LMArena Multi-Turn | 1130 | 1456 |
| WildBench | 71.1% | — |

## FAQ

### Is Mixtral 8x22B better than Qwen3.6 Max Preview?

Qwen3.6 Max Preview is the stronger model overall, scoring 51.5 to 27.1 on the Noometry Index.

### Which is cheaper, Mixtral 8x22B or Qwen3.6 Max Preview?

Qwen3.6 Max Preview is cheaper. It lists at $1.30 per million input tokens and $7.80 per million output tokens; Mixtral 8x22B lists at $2 and $6.

### Is Mixtral 8x22B or Qwen3.6 Max Preview better for coding?

Qwen3.6 Max Preview scores higher on coding benchmarks: 48.7 versus 24.2 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.6 Max Preview does, with 262K tokens against 64K.

### How many benchmarks do Mixtral 8x22B and Qwen3.6 Max Preview share?

17 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Qwen3.6 Max Preview has 29.