# Llama 13b vs MiMo-V2-Omni

> MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 24.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-13b-vs-mimo-v2-omni
- Last updated: 2026-10-10
- Shared benchmarks: 8

## Summary

- They share 8 benchmarks with published results for both. Llama 13b scores higher in 0 categories and MiMo-V2-Omni in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Omni leads 61.4 to 13.8.
- Llama 13b has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 13b | MiMo-V2-Omni |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 24.4 | 43.6 |
| Rank | 348 | 88 |
| Context | — | 262K |
| Input $/M | — | $0.14 |
| Output $/M | — | $0.28 |
| Weights | Open | Proprietary |

## Coding

- Llama 13b: 21.4 (#337)
- MiMo-V2-Omni: 43.3 (#89)

| Benchmark | Llama 13b | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 683 | 1466 |

## Reasoning

- Llama 13b: 14.0 (#329)
- MiMo-V2-Omni: 29.7 (#88)

| Benchmark | Llama 13b | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 728 | 1445 |
| BIG-Bench Hard | 37.9% | — |
| Epoch Capabilities Index | 100.58 | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |

## Math

- Llama 13b: 26.7 (#256)
- MiMo-V2-Omni: 39.1 (#115)

| Benchmark | Llama 13b | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 838 | 1430 |
| GSM8K | 20.6% | — |

## Knowledge

- Llama 13b: —
- MiMo-V2-Omni: 40.5 (#118)

| Benchmark | Llama 13b | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | — | 1449 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |

## Multimodal

- Llama 13b: —
- MiMo-V2-Omni: 38.6 (#63)

| Benchmark | Llama 13b | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |
| ScienceQA | 43.3% | — |

## Multilingual

- Llama 13b: 16.6 (#297)
- MiMo-V2-Omni: 51.8 (#102)

| Benchmark | Llama 13b | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 819 | 1404 |
| LMArena Chinese | — | 1465 |
| LMArena French | — | 1447 |
| LMArena German | — | 1399 |
| LMArena Japanese | — | 1317 |
| LMArena Korean | — | 1355 |
| LMArena Russian | — | 1412 |
| LMArena Spanish | — | 1434 |

## Instruction Following

- Llama 13b: 36.7 (#305)
- MiMo-V2-Omni: 75.2 (#66)

| Benchmark | Llama 13b | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 781 | 1428 |

## Long Context

- Llama 13b: —
- MiMo-V2-Omni: 44.1 (#76)

| Benchmark | Llama 13b | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | — | 1442 |

## Writing & Preference

- Llama 13b: 13.8 (#312)
- MiMo-V2-Omni: 61.4 (#87)

| Benchmark | Llama 13b | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 834 | 1423 |
| LMArena Creative Writing | 794 | 1392 |
| LMArena Multi-Turn | 753 | 1445 |

## FAQ

### Is Llama 13b better than MiMo-V2-Omni?

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 24.4 on the Noometry Index.

### Is Llama 13b or MiMo-V2-Omni better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 21.4 in the Noometry coding category.

### How many benchmarks do Llama 13b and MiMo-V2-Omni share?

8 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and MiMo-V2-Omni has 18.