# MiMo-V2-Omni vs Pixtral Large

> MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 31.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mimo-v2-omni-vs-pixtral-large
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. MiMo-V2-Omni scores higher in 3 categories and Pixtral Large in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Omni leads 61.6 to 32.9.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $2 / $6 for Pixtral Large.
- MiMo-V2-Omni accepts more context: 262K tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.

## Snapshot

| | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 42.9 | 31.7 |
| Rank | 91 | 257 |
| Context | 262K | 128K |
| Input $/M | $0.14 | $2 |
| Output $/M | $0.28 | $6 |
| Weights | Proprietary | Open |

## Coding

- MiMo-V2-Omni: 42.7 (#87)
- Pixtral Large: —

| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| LMArena Coding | 1467 | — |

## Reasoning

- MiMo-V2-Omni: 28.6 (#86)
- Pixtral Large: 20.9 (#208)

| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1445 | — |

## Math

- MiMo-V2-Omni: 36.4 (#112)
- Pixtral Large: —

| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| LMArena Math | 1432 | — |

## Knowledge

- MiMo-V2-Omni: 39.9 (#114)
- Pixtral Large: —

| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| LMArena Expert | 1449 | — |

## Multimodal

- MiMo-V2-Omni: 37.9 (#62)
- Pixtral Large: 30.0 (#105)

| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| LMArena Vision | 1228 | 1089 |

## Multilingual

- MiMo-V2-Omni: 52.0 (#97)
- Pixtral Large: —

| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1404 | — |
| LMArena Chinese | 1469 | — |
| LMArena French | 1448 | — |
| LMArena German | 1398 | — |
| LMArena Japanese | 1318 | — |
| LMArena Korean | 1355 | — |
| LMArena Russian | 1412 | — |
| LMArena Spanish | 1432 | — |

## Instruction Following

- MiMo-V2-Omni: 75.4 (#62)
- Pixtral Large: —

| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1428 | — |

## Long Context

- MiMo-V2-Omni: 44.1 (#72)
- Pixtral Large: —

| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1442 | — |

## Writing & Preference

- MiMo-V2-Omni: 61.6 (#83)
- Pixtral Large: 32.9 (#273)

| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| LMArena Text | 1424 | — |
| LMArena Creative Writing | 1393 | — |
| EQ-Bench Creative Writing | — | 988 |
| LMArena Multi-Turn | 1446 | — |

## FAQ

### Is MiMo-V2-Omni better than Pixtral Large?

MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 31.7 on the Noometry Index.

### Which is cheaper, MiMo-V2-Omni or Pixtral Large?

MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Pixtral Large lists at $2 and $6.

### Which has the bigger context window?

MiMo-V2-Omni does, with 262K tokens against 128K.

### How many benchmarks do MiMo-V2-Omni and Pixtral Large share?

1 benchmark has published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Pixtral Large has 3.