# Mixtral 8x22B vs Qwen3-30B-A3B

> Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 27.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mixtral-8x22b-vs-qwen3-30b-a3b
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Mixtral 8x22B scores higher in 1 category and Qwen3-30B-A3B in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-30B-A3B leads 41.8 to 15.1.
- The biggest single-benchmark swing is GPQA Diamond: 34.1% for Mixtral 8x22B and 70.1% for Qwen3-30B-A3B.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- Mixtral 8x22B accepts more context: 64K tokens versus 41K.

## Snapshot

| | Mixtral 8x22B | Qwen3-30B-A3B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 27.1 | 38.9 |
| Rank | 333 | 179 |
| Context | 64K | 41K |
| Input $/M | $2 | $0.12 |
| Output $/M | $6 | $0.50 |
| Weights | Open | Open |

## Coding

- Mixtral 8x22B: 24.2 (#329)
- Qwen3-30B-A3B: 37.5 (#194)

| Benchmark | Mixtral 8x22B | Qwen3-30B-A3B |
|---|---|---|
| WeirdML | 3.2% | 29.8% |
| LMArena Coding | 1166 | 1416 |
| SciCode | — | 33.3% |
| BigCodeBench Instruct | 40.6% | — |
| BigCodeBench Complete | 50.2% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 64.3% | — |

## Agentic & Tool Use

- Mixtral 8x22B: 23.1 (#127)
- Qwen3-30B-A3B: 29.8 (#82)

| Benchmark | Mixtral 8x22B | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |
| Cybench | 7.5% | — |

## Reasoning

- Mixtral 8x22B: 19.9 (#248)
- Qwen3-30B-A3B: 22.2 (#204)

| Benchmark | Mixtral 8x22B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1150 | 1398 |
| DTBench | 55.1% | 69.3% |
| Epoch Capabilities Index | 122.03 | 139.63 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| LMCA | — | 22.4% |
| ForecastBench | 56.3 | — |

## Math

- Mixtral 8x22B: 22.9 (#275)
- Qwen3-30B-A3B: 37.4 (#157)

| Benchmark | Mixtral 8x22B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Math | 1184 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
| Omni-MATH | 16.3% | — |
| MATH Level 5 | 24.2% | — |

## Knowledge

- Mixtral 8x22B: 15.1 (#293)
- Qwen3-30B-A3B: 41.8 (#105)

| Benchmark | Mixtral 8x22B | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | 34.1% | 70.1% |
| LMArena Expert | 1113 | 1396 |
| MMLU-Pro | 46% | — |
| Confabulations | — | 12.3% |
| GPQA (HELM) | 33.4% | — |
| MMLU | 77.8% | — |

## Multilingual

- Mixtral 8x22B: 32.8 (#255)
- Qwen3-30B-A3B: 49.5 (#132)

| Benchmark | Mixtral 8x22B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1128 | 1372 |
| LMArena Chinese | 1116 | 1433 |
| LMArena French | 1166 | 1418 |
| LMArena German | 1141 | 1380 |
| LMArena Japanese | 1037 | 1337 |
| LMArena Korean | 1057 | 1331 |
| LMArena Russian | 1158 | 1370 |
| LMArena Spanish | 1151 | 1404 |

## Instruction Following

- Mixtral 8x22B: 57.7 (#266)
- Qwen3-30B-A3B: 72.0 (#142)

| Benchmark | Mixtral 8x22B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1147 | 1363 |
| IFEval | 72.4% | — |

## Long Context

- Mixtral 8x22B: 34.7 (#247)
- Qwen3-30B-A3B: 31.0 (#283)

| Benchmark | Mixtral 8x22B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1144 | 1379 |
| Fiction.LiveBench | — | 40.6% |

## Writing & Preference

- Mixtral 8x22B: 36.9 (#262)
- Qwen3-30B-A3B: 55.6 (#143)

| Benchmark | Mixtral 8x22B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1162 | 1384 |
| LMArena Creative Writing | 1141 | 1317 |
| LMArena Multi-Turn | 1130 | 1378 |
| Short-Story Creative Writing | — | 75.3% |
| WildBench | 71.1% | — |

## FAQ

### Is Mixtral 8x22B better than Qwen3-30B-A3B?

Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 27.1 on the Noometry Index.

### Which is cheaper, Mixtral 8x22B or Qwen3-30B-A3B?

Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; Mixtral 8x22B lists at $2 and $6.

### Is Mixtral 8x22B or Qwen3-30B-A3B better for coding?

Qwen3-30B-A3B scores higher on coding benchmarks: 37.5 versus 24.2 in the Noometry coding category.

### Which has the bigger context window?

Mixtral 8x22B does, with 64K tokens against 41K.

### How many benchmarks do Mixtral 8x22B and Qwen3-30B-A3B share?

21 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Qwen3-30B-A3B has 32.