# Gemma 2 27B vs MiMo-V2-Omni

> MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 29.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-2-27b-vs-mimo-v2-omni
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Gemma 2 27B scores higher in 0 categories and MiMo-V2-Omni in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2-Omni leads 36.4 to 10.0.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.65 / $0.65 for Gemma 2 27B.
- MiMo-V2-Omni accepts more context: 262K tokens versus 8K.
- Gemma 2 27B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemma 2 27B | MiMo-V2-Omni |
|---|---|---|
| Provider | Google | Xiaomi |
| Noometry Index | 29.2 | 42.9 |
| Rank | 302 | 91 |
| Context | 8K | 262K |
| Input $/M | $0.65 | $0.14 |
| Output $/M | $0.65 | $0.28 |
| Weights | Open | Proprietary |

## Coding

- Gemma 2 27B: 33.5 (#243)
- MiMo-V2-Omni: 42.7 (#87)

| Benchmark | Gemma 2 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1211 | 1467 |
| BigCodeBench Instruct | 42.8% | — |
| LiveBench Coding | 36% | — |
| BigCodeBench Complete | 52.5% | — |

## Reasoning

- Gemma 2 27B: 14.8 (#313)
- MiMo-V2-Omni: 28.6 (#86)

| Benchmark | Gemma 2 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1199 | 1445 |
| LiveBench Reasoning | 28.1% | — |
| DTBench | 48% | — |
| LiveBench Data Analysis | 47.9% | — |
| LMCA | 7.1% | — |
| Epoch Capabilities Index | 122.06 | — |
| LiveBench | 38.2% | — |

## Math

- Gemma 2 27B: 10.0 (#306)
- MiMo-V2-Omni: 36.4 (#112)

| Benchmark | Gemma 2 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1212 | 1432 |
| OTIS Mock AIME 2024-2025 | 1.4% | — |
| LiveBench Math | 26.5% | — |
| MATH Level 5 | 27.9% | — |

## Knowledge

- Gemma 2 27B: 18.9 (#275)
- MiMo-V2-Omni: 39.9 (#114)

| Benchmark | Gemma 2 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1172 | 1449 |
| GPQA Diamond | 36.5% | — |
| Confabulations | 27.1% | — |
| MMLU | 75.7% | — |

## Multimodal

- Gemma 2 27B: —
- MiMo-V2-Omni: 37.9 (#62)

| Benchmark | Gemma 2 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |

## Multilingual

- Gemma 2 27B: 38.8 (#221)
- MiMo-V2-Omni: 52.0 (#97)

| Benchmark | Gemma 2 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1217 | 1404 |
| LMArena Chinese | 1221 | 1469 |
| LMArena French | 1246 | 1448 |
| LMArena German | 1209 | 1398 |
| LMArena Japanese | 1175 | 1318 |
| LMArena Korean | 1174 | 1355 |
| LMArena Russian | 1234 | 1412 |
| LMArena Spanish | 1228 | 1432 |

## Instruction Following

- Gemma 2 27B: 60.7 (#244)
- MiMo-V2-Omni: 75.4 (#62)

| Benchmark | Gemma 2 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1206 | 1428 |
| LiveBench Instruction Following | 58.1% | — |

## Long Context

- Gemma 2 27B: 37.3 (#213)
- MiMo-V2-Omni: 44.1 (#72)

| Benchmark | Gemma 2 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1231 | 1442 |

## Writing & Preference

- Gemma 2 27B: 44.4 (#220)
- MiMo-V2-Omni: 61.6 (#83)

| Benchmark | Gemma 2 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1231 | 1424 |
| LMArena Creative Writing | 1241 | 1393 |
| LMArena Multi-Turn | 1224 | 1446 |
| LiveBench Language | 32.6% | — |

## FAQ

### Is Gemma 2 27B better than MiMo-V2-Omni?

MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 29.2 on the Noometry Index.

### Which is cheaper, Gemma 2 27B or MiMo-V2-Omni?

MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Gemma 2 27B lists at $0.65 and $0.65.

### Is Gemma 2 27B or MiMo-V2-Omni better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 42.7 versus 33.5 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2-Omni does, with 262K tokens against 8K.

### How many benchmarks do Gemma 2 27B and MiMo-V2-Omni share?

17 benchmarks have published results for both models. Gemma 2 27B has 34 scored results on Noometry and MiMo-V2-Omni has 18.