# Mistral vs Qwen3-Next 80B-A3B Instruct

> Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 29.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-vs-qwen3-next-80b-a3b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Mistral scores higher in 0 categories and Qwen3-Next 80B-A3B Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-Next 80B-A3B Instruct leads 41.3 to 16.3.
- The biggest single-benchmark swing is MMLU-Pro: 27.7% for Mistral and 78.6% for Qwen3-Next 80B-A3B Instruct.
- Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.4 | 42.5 |
| Rank | 297 | 100 |
| Context | — | 131K |
| Input $/M | — | $0.50 |
| Output $/M | — | $2 |
| Weights | Proprietary | Open |

## Coding

- Mistral: 33.2 (#249)
- Qwen3-Next 80B-A3B Instruct: 41.9 (#101)

| Benchmark | Mistral | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1162 | 1441 |

## Reasoning

- Mistral: 21.3 (#199)
- Qwen3-Next 80B-A3B Instruct: 30.1 (#79)

| Benchmark | Mistral | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1149 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |

## Math

- Mistral: 20.5 (#275)
- Qwen3-Next 80B-A3B Instruct: 36.3 (#118)

| Benchmark | Mistral | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Omni-MATH | 7.2% | 46.7% |
| LMArena Math | 1180 | 1440 |

## Knowledge

- Mistral: 16.3 (#283)
- Qwen3-Next 80B-A3B Instruct: 41.3 (#102)

| Benchmark | Mistral | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| MMLU-Pro | 27.7% | 78.6% |
| GPQA (HELM) | 30.3% | 63% |
| LMArena Expert | 1125 | 1416 |
| Vectara Hallucination Rate | — | 9.3% |

## Multilingual

- Mistral: 33.0 (#249)
- Qwen3-Next 80B-A3B Instruct: 52.3 (#88)

| Benchmark | Mistral | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1129 | 1407 |
| LMArena Chinese | 1109 | 1461 |
| LMArena French | 1179 | 1415 |
| LMArena German | 1155 | 1416 |
| LMArena Japanese | 1012 | 1398 |
| LMArena Korean | 1032 | 1366 |
| LMArena Russian | 1168 | 1403 |
| LMArena Spanish | 1143 | 1436 |

## Instruction Following

- Mistral: 52.9 (#283)
- Qwen3-Next 80B-A3B Instruct: 71.0 (#154)

| Benchmark | Mistral | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | 56.8% | 81% |
| LMArena Instruction Following | 1152 | 1388 |

## Long Context

- Mistral: 35.0 (#240)
- Qwen3-Next 80B-A3B Instruct: 37.0 (#218)

| Benchmark | Mistral | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1154 | 1403 |
| Fiction.LiveBench | — | 55.6% |

## Writing & Preference

- Mistral: 37.2 (#255)
- Qwen3-Next 80B-A3B Instruct: 58.2 (#116)

| Benchmark | Mistral | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1165 | 1417 |
| LMArena Creative Writing | 1158 | 1333 |
| WildBench | 66% | 80.7% |
| LMArena Multi-Turn | 1147 | 1415 |

## FAQ

### Is Mistral better than Qwen3-Next 80B-A3B Instruct?

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 29.4 on the Noometry Index.

### Is Mistral or Qwen3-Next 80B-A3B Instruct better for coding?

Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 41.9 versus 33.2 in the Noometry coding category.

### How many benchmarks do Mistral and Qwen3-Next 80B-A3B Instruct share?

22 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.