# Llama 3.2 3B vs MiMo-V2-Omni

> MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 28.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-2-3b-vs-mimo-v2-omni
- Last updated: 2026-10-12
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Llama 3.2 3B scores higher in 0 categories and MiMo-V2-Omni in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Omni leads 61.4 to 24.7.
- Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2-Omni.
- MiMo-V2-Omni accepts more context: 262K tokens versus 131K.
- Llama 3.2 3B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 3.2 3B | MiMo-V2-Omni |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 28.9 | 43.6 |
| Rank | 321 | 88 |
| Context | 131K | 262K |
| Input $/M | $0.05 | $0.14 |
| Output $/M | $0.33 | $0.28 |
| Weights | Open | Proprietary |

## Coding

- Llama 3.2 3B: 27.6 (#319)
- MiMo-V2-Omni: 43.3 (#89)

| Benchmark | Llama 3.2 3B | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1098 | 1466 |
| BigCodeBench Instruct | 23.4% | — |
| BigCodeBench Complete | 28.3% | — |

## Agentic & Tool Use

- Llama 3.2 3B: 20.1 (#143)
- MiMo-V2-Omni: —

| Benchmark | Llama 3.2 3B | MiMo-V2-Omni |
|---|---|---|
| Berkeley Function Calling Leaderboard | 21.9% | — |
| BALROG | 10.1% | — |

## Reasoning

- Llama 3.2 3B: 21.0 (#228)
- MiMo-V2-Omni: 29.7 (#88)

| Benchmark | Llama 3.2 3B | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1095 | 1445 |

## Math

- Llama 3.2 3B: 32.4 (#214)
- MiMo-V2-Omni: 39.1 (#115)

| Benchmark | Llama 3.2 3B | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1126 | 1430 |

## Knowledge

- Llama 3.2 3B: 29.7 (#235)
- MiMo-V2-Omni: 40.5 (#118)

| Benchmark | Llama 3.2 3B | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1090 | 1449 |

## Multimodal

- Llama 3.2 3B: —
- MiMo-V2-Omni: 38.6 (#63)

| Benchmark | Llama 3.2 3B | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |

## Multilingual

- Llama 3.2 3B: 26.2 (#281)
- MiMo-V2-Omni: 51.8 (#102)

| Benchmark | Llama 3.2 3B | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1019 | 1404 |
| LMArena Chinese | 1017 | 1465 |
| LMArena German | 1056 | 1399 |
| LMArena Russian | 949 | 1412 |
| LMArena French | — | 1447 |
| LMArena Japanese | — | 1317 |
| LMArena Korean | — | 1355 |
| LMArena Spanish | — | 1434 |

## Instruction Following

- Llama 3.2 3B: 56.0 (#275)
- MiMo-V2-Omni: 75.2 (#66)

| Benchmark | Llama 3.2 3B | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1089 | 1428 |

## Long Context

- Llama 3.2 3B: 33.4 (#261)
- MiMo-V2-Omni: 44.1 (#76)

| Benchmark | Llama 3.2 3B | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1100 | 1442 |

## Writing & Preference

- Llama 3.2 3B: 24.7 (#307)
- MiMo-V2-Omni: 61.4 (#87)

| Benchmark | Llama 3.2 3B | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1110 | 1423 |
| LMArena Creative Writing | 1094 | 1392 |
| LMArena Multi-Turn | 1105 | 1445 |
| EQ-Bench Creative Writing | 595 | — |

## FAQ

### Is Llama 3.2 3B better than MiMo-V2-Omni?

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 28.9 on the Noometry Index.

### Which is cheaper, Llama 3.2 3B or MiMo-V2-Omni?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; MiMo-V2-Omni lists at $0.14 and $0.28.

### Is Llama 3.2 3B or MiMo-V2-Omni better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 27.6 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2-Omni does, with 262K tokens against 131K.

### How many benchmarks do Llama 3.2 3B and MiMo-V2-Omni share?

13 benchmarks have published results for both models. Llama 3.2 3B has 18 scored results on Noometry and MiMo-V2-Omni has 18.