# Gemma 2 27B vs Mixtral 8x22B

> Gemma 2 27B is the stronger model overall, scoring 29.4 to 27.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-2-27b-vs-mixtral-8x22b
- Last updated: 2026-10-11
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. Gemma 2 27B scores higher in 6 categories and Mixtral 8x22B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Mixtral 8x22B leads 22.9 to 10.7.
- The biggest single-benchmark swing is DTBench: 48% for Gemma 2 27B and 55.1% for Mixtral 8x22B.
- Gemma 2 27B is cheaper at $0.65 / $0.65 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- Mixtral 8x22B accepts more context: 64K tokens versus 8K.

## Snapshot

| | Gemma 2 27B | Mixtral 8x22B |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 29.4 | 27.1 |
| Rank | 312 | 333 |
| Context | 8K | 64K |
| Input $/M | $0.65 | $2 |
| Output $/M | $0.65 | $6 |
| Weights | Open | Open |

## Coding

- Gemma 2 27B: 34.1 (#246)
- Mixtral 8x22B: 24.2 (#329)

| Benchmark | Gemma 2 27B | Mixtral 8x22B |
|---|---|---|
| BigCodeBench Instruct | 42.8% | 40.6% |
| LMArena Coding | 1211 | 1166 |
| BigCodeBench Complete | 52.5% | 50.2% |
| WeirdML | — | 3.2% |
| LiveBench Coding | 36% | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |

## Agentic & Tool Use

- Gemma 2 27B: —
- Mixtral 8x22B: 23.1 (#127)

| Benchmark | Gemma 2 27B | Mixtral 8x22B |
|---|---|---|
| Cybench | — | 7.5% |

## Reasoning

- Gemma 2 27B: 15.3 (#315)
- Mixtral 8x22B: 19.9 (#248)

| Benchmark | Gemma 2 27B | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1198 | 1150 |
| DTBench | 48% | 55.1% |
| Epoch Capabilities Index | 122.08 | 122.03 |
| LiveBench Reasoning | 28.1% | — |
| LiveBench Data Analysis | 47.9% | — |
| LMCA | 7.1% | — |
| ForecastBench | — | 56.3 |
| LiveBench | 38.2% | — |

## Math

- Gemma 2 27B: 10.7 (#311)
- Mixtral 8x22B: 22.9 (#275)

| Benchmark | Gemma 2 27B | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1212 | 1184 |
| MATH Level 5 | 27.9% | 24.2% |
| OTIS Mock AIME 2024-2025 | 1.4% | — |
| Omni-MATH | — | 16.3% |
| LiveBench Math | 26.5% | — |

## Knowledge

- Gemma 2 27B: 19.0 (#280)
- Mixtral 8x22B: 15.1 (#293)

| Benchmark | Gemma 2 27B | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 36.5% | 34.1% |
| LMArena Expert | 1172 | 1113 |
| MMLU | 75.7% | 77.8% |
| MMLU-Pro | — | 46% |
| Confabulations | 27.1% | — |
| GPQA (HELM) | — | 33.4% |

## Multilingual

- Gemma 2 27B: 38.6 (#226)
- Mixtral 8x22B: 32.8 (#255)

| Benchmark | Gemma 2 27B | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1217 | 1128 |
| LMArena Chinese | 1221 | 1116 |
| LMArena French | 1247 | 1166 |
| LMArena German | 1209 | 1141 |
| LMArena Japanese | 1175 | 1037 |
| LMArena Korean | 1174 | 1057 |
| LMArena Russian | 1234 | 1158 |
| LMArena Spanish | 1228 | 1151 |

## Instruction Following

- Gemma 2 27B: 60.5 (#249)
- Mixtral 8x22B: 57.7 (#266)

| Benchmark | Gemma 2 27B | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1206 | 1147 |
| LiveBench Instruction Following | 58.1% | — |
| IFEval | — | 72.4% |

## Long Context

- Gemma 2 27B: 37.3 (#218)
- Mixtral 8x22B: 34.7 (#247)

| Benchmark | Gemma 2 27B | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1231 | 1144 |

## Writing & Preference

- Gemma 2 27B: 44.2 (#225)
- Mixtral 8x22B: 36.9 (#262)

| Benchmark | Gemma 2 27B | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1231 | 1162 |
| LMArena Creative Writing | 1241 | 1141 |
| LMArena Multi-Turn | 1224 | 1130 |
| WildBench | — | 71.1% |
| LiveBench Language | 32.6% | — |

## FAQ

### Is Gemma 2 27B better than Mixtral 8x22B?

Gemma 2 27B is the stronger model overall, scoring 29.4 to 27.1 on the Noometry Index.

### Which is cheaper, Gemma 2 27B or Mixtral 8x22B?

Gemma 2 27B is cheaper. It lists at $0.65 per million input tokens and $0.65 per million output tokens; Mixtral 8x22B lists at $2 and $6.

### Is Gemma 2 27B or Mixtral 8x22B better for coding?

Gemma 2 27B scores higher on coding benchmarks: 34.1 versus 24.2 in the Noometry coding category.

### Which has the bigger context window?

Mixtral 8x22B does, with 64K tokens against 8K.

### How many benchmarks do Gemma 2 27B and Mixtral 8x22B share?

24 benchmarks have published results for both models. Gemma 2 27B has 34 scored results on Noometry and Mixtral 8x22B has 34.
