# Mixtral 8x7B vs Qwen2.5-Coder (1.5B)

> Mixtral 8x7B has enough public results to be ranked (#328); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/mixtral-8x7b-vs-qwen2-5-coder
- Last updated: 2026-10-10
- Shared benchmarks: 6

## Summary

- They share 6 benchmarks with published results for both.

## Snapshot

| | Mixtral 8x7B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.8 | — |
| Rank | 328 | — |
| Context | 32K | — |
| Input $/M | $0.70 | — |
| Output $/M | $0.70 | — |
| Weights | Open | Open |

## Coding

- Mixtral 8x7B: 32.2 (#265)
- Qwen2.5-Coder (1.5B): —

| Benchmark | Mixtral 8x7B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Coding | 1127 | — |
| HumanEval+ | 39.6% | — |
| MBPP+ | 49.7% | — |

## Reasoning

- Mixtral 8x7B: 17.4 (#283)
- Qwen2.5-Coder (1.5B): —

| Benchmark | Mixtral 8x7B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Epoch Capabilities Index | 118.38 | 112.93 |
| HellaSwag | 86.7% | 76.8% |
| WinoGrande | 77.2% | 72.9% |
| LMArena Hard Prompts | 1115 | — |
| DTBench | 49.6% | — |
| Adversarial NLI | 55.2% | — |
| ForecastBench | 56.3 | — |
| PIQA | 83.6% | — |

## Math

- Mixtral 8x7B: 17.2 (#284)
- Qwen2.5-Coder (1.5B): —

| Benchmark | Mixtral 8x7B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| GSM8K | 74.4% | 86.7% |
| Omni-MATH | 10.5% | — |
| LMArena Math | 1147 | — |
| MATH Level 5 | 10% | — |

## Knowledge

- Mixtral 8x7B: 11.0 (#296)
- Qwen2.5-Coder (1.5B): —

| Benchmark | Mixtral 8x7B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| ARC (AI2) Challenge | 87.3% | 60.9% |
| MMLU | 70.6% | 68% |
| GPQA Diamond | 30.6% | — |
| MMLU-Pro | 33.5% | — |
| GPQA (HELM) | 29.6% | — |
| LMArena Expert | 1088 | — |
| OpenBookQA | 85.8% | — |
| TriviaQA | 82.2% | — |

## Multilingual

- Mixtral 8x7B: 29.8 (#261)
- Qwen2.5-Coder (1.5B): —

| Benchmark | Mixtral 8x7B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Non-English | 1077 | — |
| LMArena Chinese | 1055 | — |
| LMArena French | 1165 | — |
| LMArena German | 1114 | — |
| LMArena Japanese | 931 | — |
| LMArena Korean | 968 | — |
| LMArena Russian | 1090 | — |
| LMArena Spanish | 1110 | — |

## Instruction Following

- Mixtral 8x7B: 51.2 (#292)
- Qwen2.5-Coder (1.5B): —

| Benchmark | Mixtral 8x7B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| IFEval | 57.5% | — |
| LMArena Instruction Following | 1110 | — |

## Long Context

- Mixtral 8x7B: 33.4 (#255)
- Qwen2.5-Coder (1.5B): —

| Benchmark | Mixtral 8x7B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Longer Query | 1103 | — |

## Writing & Preference

- Mixtral 8x7B: 34.4 (#265)
- Qwen2.5-Coder (1.5B): —

| Benchmark | Mixtral 8x7B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Text | 1132 | — |
| LMArena Creative Writing | 1109 | — |
| WildBench | 67.3% | — |
| LMArena Multi-Turn | 1115 | — |

## FAQ

### Is Mixtral 8x7B better than Qwen2.5-Coder (1.5B)?

Mixtral 8x7B has enough public results to be ranked (#328); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.

### How many benchmarks do Mixtral 8x7B and Qwen2.5-Coder (1.5B) share?

6 benchmarks have published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.