# Mistral vs Qwen3-30B-A3B

> Qwen3-30B-A3B is the stronger model overall, scoring 38.5 to 29.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-vs-qwen3-30b-a3b
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Mistral scores higher in 1 category and Qwen3-30B-A3B in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-30B-A3B leads 41.7 to 16.3.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral | Qwen3-30B-A3B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.4 | 38.5 |
| Rank | 297 | 174 |
| Context | — | 41K |
| Input $/M | — | $0.12 |
| Output $/M | — | $0.50 |
| Weights | Proprietary | Open |

## Coding

- Mistral: 33.2 (#249)
- Qwen3-30B-A3B: 37.0 (#188)

| Benchmark | Mistral | Qwen3-30B-A3B |
|---|---|---|
| LMArena Coding | 1162 | 1416 |
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |

## Agentic & Tool Use

- Mistral: —
- Qwen3-30B-A3B: 29.5 (#75)

| Benchmark | Mistral | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |

## Reasoning

- Mistral: 21.3 (#199)
- Qwen3-30B-A3B: 21.6 (#193)

| Benchmark | Mistral | Qwen3-30B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1149 | 1398 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| DTBench | — | 69.3% |
| LMCA | — | 22.4% |
| Epoch Capabilities Index | — | 139.63 |

## Math

- Mistral: 20.5 (#275)
- Qwen3-30B-A3B: 36.0 (#133)

| Benchmark | Mistral | Qwen3-30B-A3B |
|---|---|---|
| LMArena Math | 1180 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
| Omni-MATH | 7.2% | — |

## Knowledge

- Mistral: 16.3 (#283)
- Qwen3-30B-A3B: 41.7 (#96)

| Benchmark | Mistral | Qwen3-30B-A3B |
|---|---|---|
| LMArena Expert | 1125 | 1395 |
| GPQA Diamond | — | 70.1% |
| MMLU-Pro | 27.7% | — |
| Confabulations | — | 12.3% |
| GPQA (HELM) | 30.3% | — |

## Multilingual

- Mistral: 33.0 (#249)
- Qwen3-30B-A3B: 49.8 (#126)

| Benchmark | Mistral | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1129 | 1372 |
| LMArena Chinese | 1109 | 1434 |
| LMArena French | 1179 | 1419 |
| LMArena German | 1155 | 1379 |
| LMArena Japanese | 1012 | 1338 |
| LMArena Korean | 1032 | 1333 |
| LMArena Russian | 1168 | 1369 |
| LMArena Spanish | 1143 | 1403 |

## Instruction Following

- Mistral: 52.9 (#283)
- Qwen3-30B-A3B: 72.2 (#137)

| Benchmark | Mistral | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1152 | 1364 |
| IFEval | 56.8% | — |

## Long Context

- Mistral: 35.0 (#240)
- Qwen3-30B-A3B: 31.0 (#278)

| Benchmark | Mistral | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1154 | 1379 |
| Fiction.LiveBench | — | 40.6% |

## Writing & Preference

- Mistral: 37.2 (#255)
- Qwen3-30B-A3B: 55.9 (#138)

| Benchmark | Mistral | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1165 | 1384 |
| LMArena Creative Writing | 1158 | 1318 |
| LMArena Multi-Turn | 1147 | 1378 |
| Short-Story Creative Writing | — | 75.3% |
| WildBench | 66% | — |

## FAQ

### Is Mistral better than Qwen3-30B-A3B?

Qwen3-30B-A3B is the stronger model overall, scoring 38.5 to 29.4 on the Noometry Index.

### Is Mistral or Qwen3-30B-A3B better for coding?

Qwen3-30B-A3B scores higher on coding benchmarks: 37.0 versus 33.2 in the Noometry coding category.

### How many benchmarks do Mistral and Qwen3-30B-A3B share?

17 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen3-30B-A3B has 32.