# Mistral 7B vs Qwen3-Next 80B-A3B Instruct

> Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 23.0 on the Noometry Index. Mistral 7B costs 3.5× less per token, which makes it the better buy when Qwen3-Next 80B-A3B Instruct's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mistral-7b-vs-qwen3-next-80b-a3b-instruct
- Last updated: 2026-10-12
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. Mistral 7B 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 41.8 to 7.4.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.50 / $2 for Qwen3-Next 80B-A3B Instruct.
- Qwen3-Next 80B-A3B Instruct accepts more context: 131K tokens versus 8K.

## Snapshot

| | Mistral 7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 23.0 | 43.0 |
| Rank | 351 | 102 |
| Context | 8K | 131K |
| Input $/M | $0.25 | $0.50 |
| Output $/M | $0.25 | $2 |
| Weights | Open | Open |

## Coding

- Mistral 7B: 26.4 (#326)
- Qwen3-Next 80B-A3B Instruct: 42.5 (#98)

| Benchmark | Mistral 7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1082 | 1440 |
| BigCodeBench Instruct | 19.5% | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |

## Reasoning

- Mistral 7B: 13.1 (#336)
- Qwen3-Next 80B-A3B Instruct: 31.1 (#81)

| Benchmark | Mistral 7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1067 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
| Chess Puzzles | 0% | — |
| DTBench | 42.5% | — |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| Epoch Capabilities Index | 112.21 | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |

## Math

- Mistral 7B: 8.1 (#325)
- Qwen3-Next 80B-A3B Instruct: 38.8 (#126)

| Benchmark | Mistral 7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1085 | 1440 |
| OTIS Mock AIME 2024-2025 | 0.3% | — |
| Omni-MATH | — | 46.7% |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |

## Knowledge

- Mistral 7B: 7.4 (#311)
- Qwen3-Next 80B-A3B Instruct: 41.8 (#106)

| Benchmark | Mistral 7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Expert | 1036 | 1417 |
| GPQA Diamond | 15.2% | — |
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |

## Multilingual

- Mistral 7B: 25.8 (#283)
- Qwen3-Next 80B-A3B Instruct: 52.1 (#93)

| Benchmark | Mistral 7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1012 | 1407 |
| LMArena Chinese | 1009 | 1460 |
| LMArena French | 1037 | 1413 |
| LMArena German | 987 | 1417 |
| LMArena Japanese | 878 | 1395 |
| LMArena Russian | 1018 | 1404 |
| LMArena Spanish | 1026 | 1435 |
| LMArena Korean | — | 1364 |

## Instruction Following

- Mistral 7B: 54.2 (#280)
- Qwen3-Next 80B-A3B Instruct: 70.8 (#159)

| Benchmark | Mistral 7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1060 | 1389 |
| IFEval | — | 81% |

## Long Context

- Mistral 7B: 32.2 (#271)
- Qwen3-Next 80B-A3B Instruct: 37.0 (#223)

| Benchmark | Mistral 7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1060 | 1403 |
| Fiction.LiveBench | — | 55.6% |

## Writing & Preference

- Mistral 7B: 30.7 (#286)
- Qwen3-Next 80B-A3B Instruct: 58.0 (#121)

| Benchmark | Mistral 7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1090 | 1417 |
| LMArena Creative Writing | 1068 | 1334 |
| LMArena Multi-Turn | 1062 | 1416 |
| WildBench | — | 80.7% |

## FAQ

### Is Mistral 7B better than Qwen3-Next 80B-A3B Instruct?

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 23.0 on the Noometry Index. Mistral 7B costs 3.5× less per token, which makes it the better buy when Qwen3-Next 80B-A3B Instruct's lead doesn't matter for your workload.

### Which is cheaper, Mistral 7B or Qwen3-Next 80B-A3B Instruct?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Qwen3-Next 80B-A3B Instruct lists at $0.50 and $2.

### Is Mistral 7B or Qwen3-Next 80B-A3B Instruct better for coding?

Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 26.4 in the Noometry coding category.

### Which has the bigger context window?

Qwen3-Next 80B-A3B Instruct does, with 131K tokens against 8K.

### How many benchmarks do Mistral 7B and Qwen3-Next 80B-A3B Instruct share?

16 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.