# Mixtral 8x22B vs Phi-3.5-MoE

> Mixtral 8x22B has enough public results to be ranked (#333); Phi-3.5-MoE does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/mixtral-8x22b-vs-phi-3-5-moe
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Snapshot

| | Mixtral 8x22B | Phi-3.5-MoE |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 27.1 | — |
| Rank | 333 | — |
| Context | 64K | — |
| Input $/M | $2 | — |
| Output $/M | $6 | — |
| Weights | Open | Open |

## Coding

- Mixtral 8x22B: 24.2 (#329)
- Phi-3.5-MoE: —

| Benchmark | Mixtral 8x22B | Phi-3.5-MoE |
|---|---|---|
| WeirdML | 3.2% | — |
| BigCodeBench Instruct | 40.6% | — |
| LMArena Coding | 1166 | — |
| BigCodeBench Complete | 50.2% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 64.3% | — |

## Agentic & Tool Use

- Mixtral 8x22B: 23.1 (#127)
- Phi-3.5-MoE: —

| Benchmark | Mixtral 8x22B | Phi-3.5-MoE |
|---|---|---|
| Cybench | 7.5% | — |

## Reasoning

- Mixtral 8x22B: 19.9 (#248)
- Phi-3.5-MoE: —

| Benchmark | Mixtral 8x22B | Phi-3.5-MoE |
|---|---|---|
| LMArena Hard Prompts | 1150 | — |
| DTBench | 55.1% | — |
| Epoch Capabilities Index | 122.03 | — |
| ForecastBench | 56.3 | — |
| PIQA | — | 88.6% |

## Math

- Mixtral 8x22B: 22.9 (#275)
- Phi-3.5-MoE: —

| Benchmark | Mixtral 8x22B | Phi-3.5-MoE |
|---|---|---|
| Omni-MATH | 16.3% | — |
| LMArena Math | 1184 | — |
| MATH Level 5 | 24.2% | — |
| GSM8K | — | 88.7% |

## Knowledge

- Mixtral 8x22B: 15.1 (#293)
- Phi-3.5-MoE: —

| Benchmark | Mixtral 8x22B | Phi-3.5-MoE |
|---|---|---|
| GPQA Diamond | 34.1% | — |
| MMLU-Pro | 46% | — |
| GPQA (HELM) | 33.4% | — |
| LMArena Expert | 1113 | — |
| BoolQ | — | 84.6% |
| MMLU | 77.8% | — |

## Multilingual

- Mixtral 8x22B: 32.8 (#255)
- Phi-3.5-MoE: —

| Benchmark | Mixtral 8x22B | Phi-3.5-MoE |
|---|---|---|
| LMArena Non-English | 1128 | — |
| LMArena Chinese | 1116 | — |
| LMArena French | 1166 | — |
| LMArena German | 1141 | — |
| LMArena Japanese | 1037 | — |
| LMArena Korean | 1057 | — |
| LMArena Russian | 1158 | — |
| LMArena Spanish | 1151 | — |

## Instruction Following

- Mixtral 8x22B: 57.7 (#266)
- Phi-3.5-MoE: —

| Benchmark | Mixtral 8x22B | Phi-3.5-MoE |
|---|---|---|
| IFEval | 72.4% | — |
| LMArena Instruction Following | 1147 | — |

## Long Context

- Mixtral 8x22B: 34.7 (#247)
- Phi-3.5-MoE: —

| Benchmark | Mixtral 8x22B | Phi-3.5-MoE |
|---|---|---|
| LMArena Longer Query | 1144 | — |

## Writing & Preference

- Mixtral 8x22B: 36.9 (#262)
- Phi-3.5-MoE: —

| Benchmark | Mixtral 8x22B | Phi-3.5-MoE |
|---|---|---|
| LMArena Text | 1162 | — |
| LMArena Creative Writing | 1141 | — |
| WildBench | 71.1% | — |
| LMArena Multi-Turn | 1130 | — |

## FAQ

### Is Mixtral 8x22B better than Phi-3.5-MoE?

Mixtral 8x22B has enough public results to be ranked (#333); Phi-3.5-MoE does not yet, so treat this comparison as directional.

### How many benchmarks do Mixtral 8x22B and Phi-3.5-MoE share?

0 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Phi-3.5-MoE has 3.