# Mixtral 8x7B vs Qwen3.5-Flash

> Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 26.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mixtral-8x7b-vs-qwen3-5-flash
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Mixtral 8x7B scores higher in 0 categories and Qwen3.5-Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-Flash leads 43.2 to 11.0.
- The biggest single-benchmark swing is GPQA Diamond: 30.6% for Mixtral 8x7B and 82.3% for Qwen3.5-Flash.
- Qwen3.5-Flash is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
- Qwen3.5-Flash accepts more context: 1M tokens versus 32K.
- Mixtral 8x7B has downloadable open weights; the other is API-only.

## Snapshot

| | Mixtral 8x7B | Qwen3.5-Flash |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.8 | 42.3 |
| Rank | 328 | 105 |
| Context | 32K | 1M |
| Input $/M | $0.70 | $0.10 |
| Output $/M | $0.70 | $0.40 |
| Weights | Open | Proprietary |

## Coding

- Mixtral 8x7B: 32.2 (#265)
- Qwen3.5-Flash: 33.9 (#234)

| Benchmark | Mixtral 8x7B | Qwen3.5-Flash |
|---|---|---|
| LMArena Coding | 1127 | 1412 |
| LMArena WebDev | — | 1243 |
| ALE-Bench | — | 221.8 |
| HumanEval+ | 39.6% | — |
| MBPP+ | 49.7% | — |

## Agentic & Tool Use

- Mixtral 8x7B: —
- Qwen3.5-Flash: —

| Benchmark | Mixtral 8x7B | Qwen3.5-Flash |
|---|---|---|
| Vending-Bench 2 | — | 462.69 |

## Reasoning

- Mixtral 8x7B: 17.4 (#283)
- Qwen3.5-Flash: 32.9 (#63)

| Benchmark | Mixtral 8x7B | Qwen3.5-Flash |
|---|---|---|
| LMArena Hard Prompts | 1115 | 1404 |
| DTBench | 49.6% | 82.9% |
| Epoch Capabilities Index | 118.38 | 143.98 |
| Chess Puzzles | — | 21% |
| Mystery Game Puzzles | — | 20% |
| LMCA | — | 29.1% |
| Adversarial NLI | 55.2% | — |
| ForecastBench | 56.3 | — |
| HellaSwag | 86.7% | — |
| PIQA | 83.6% | — |
| WinoGrande | 77.2% | — |

## Math

- Mixtral 8x7B: 17.2 (#284)
- Qwen3.5-Flash: 36.3 (#117)

| Benchmark | Mixtral 8x7B | Qwen3.5-Flash |
|---|---|---|
| LMArena Math | 1147 | 1407 |
| FrontierMath (Tiers 1-3) | — | 18.2% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| Omni-MATH | 10.5% | — |
| MATH Level 5 | 10% | — |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |
| GSM8K | 74.4% | — |

## Knowledge

- Mixtral 8x7B: 11.0 (#296)
- Qwen3.5-Flash: 43.2 (#84)

| Benchmark | Mixtral 8x7B | Qwen3.5-Flash |
|---|---|---|
| GPQA Diamond | 30.6% | 82.3% |
| LMArena Expert | 1088 | 1408 |
| SimpleQA Verified | — | 20.3% |
| MMLU-Pro | 33.5% | — |
| Vectara Hallucination Rate | — | 10.5% |
| GPQA (HELM) | 29.6% | — |
| ARC (AI2) Challenge | 87.3% | — |
| MMLU | 70.6% | — |
| OpenBookQA | 85.8% | — |
| TriviaQA | 82.2% | — |

## Multilingual

- Mixtral 8x7B: 29.8 (#261)
- Qwen3.5-Flash: 50.7 (#116)

| Benchmark | Mixtral 8x7B | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 1077 | 1385 |
| LMArena Chinese | 1055 | 1446 |
| LMArena French | 1165 | 1412 |
| LMArena German | 1114 | 1389 |
| LMArena Japanese | 931 | 1369 |
| LMArena Korean | 968 | 1344 |
| LMArena Russian | 1090 | 1379 |
| LMArena Spanish | 1110 | 1399 |

## Instruction Following

- Mixtral 8x7B: 51.2 (#292)
- Qwen3.5-Flash: 72.8 (#133)

| Benchmark | Mixtral 8x7B | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1110 | 1374 |
| IFEval | 57.5% | — |

## Long Context

- Mixtral 8x7B: 33.4 (#255)
- Qwen3.5-Flash: 42.4 (#119)

| Benchmark | Mixtral 8x7B | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 1103 | 1392 |

## Writing & Preference

- Mixtral 8x7B: 34.4 (#265)
- Qwen3.5-Flash: 58.2 (#117)

| Benchmark | Mixtral 8x7B | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1132 | 1397 |
| LMArena Creative Writing | 1109 | 1343 |
| LMArena Multi-Turn | 1115 | 1393 |
| WildBench | 67.3% | — |

## FAQ

### Is Mixtral 8x7B better than Qwen3.5-Flash?

Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 26.8 on the Noometry Index.

### Which is cheaper, Mixtral 8x7B or Qwen3.5-Flash?

Qwen3.5-Flash is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.

### Is Mixtral 8x7B or Qwen3.5-Flash better for coding?

Qwen3.5-Flash scores higher on coding benchmarks: 33.9 versus 32.2 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.5-Flash does, with 1M tokens against 32K.

### How many benchmarks do Mixtral 8x7B and Qwen3.5-Flash share?

20 benchmarks have published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Qwen3.5-Flash has 32.