# MiMo-V2-Omni vs Mistral Medium 3.1

> MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 31.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mimo-v2-omni-vs-mistral-medium-3-1
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where MiMo-V2-Omni leads 28.6 to 10.1.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
- MiMo-V2-Omni accepts more context: 262K tokens versus 131K.

## Snapshot

| | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 42.9 | 31.5 |
| Rank | 91 | 260 |
| Context | 262K | 131K |
| Input $/M | $0.14 | $0.40 |
| Output $/M | $0.28 | $2 |
| Weights | Proprietary | Proprietary |

## Coding

- MiMo-V2-Omni: 42.7 (#87)
- Mistral Medium 3.1: —

| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| LMArena Coding | 1467 | — |

## Reasoning

- MiMo-V2-Omni: 28.6 (#86)
- Mistral Medium 3.1: 10.1 (#336)

| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| NYT Connections (extended) | — | 6.5% |
| Thematic Generalization | — | 20.3% |
| LMArena Hard Prompts | 1445 | — |

## Math

- MiMo-V2-Omni: 36.4 (#112)
- Mistral Medium 3.1: —

| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| LMArena Math | 1432 | — |

## Knowledge

- MiMo-V2-Omni: 39.9 (#114)
- Mistral Medium 3.1: —

| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| LMArena Expert | 1449 | — |

## Multimodal

- MiMo-V2-Omni: 37.9 (#62)
- Mistral Medium 3.1: —

| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| LMArena Vision | 1228 | — |

## Multilingual

- MiMo-V2-Omni: 52.0 (#97)
- Mistral Medium 3.1: —

| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| 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)
- Mistral Medium 3.1: —

| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| LMArena Instruction Following | 1428 | — |

## Long Context

- MiMo-V2-Omni: 44.1 (#72)
- Mistral Medium 3.1: —

| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| LMArena Longer Query | 1442 | — |

## Writing & Preference

- MiMo-V2-Omni: 61.6 (#83)
- Mistral Medium 3.1: 55.6 (#140)

| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| LMArena Text | 1424 | — |
| LMArena Creative Writing | 1393 | — |
| EQ-Bench Creative Writing | — | 1476 |
| LMArena Multi-Turn | 1446 | — |

## FAQ

### Is MiMo-V2-Omni better than Mistral Medium 3.1?

MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 31.5 on the Noometry Index.

### Which is cheaper, MiMo-V2-Omni or Mistral Medium 3.1?

MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.

### Which has the bigger context window?

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

### How many benchmarks do MiMo-V2-Omni and Mistral Medium 3.1 share?

0 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Mistral Medium 3.1 has 3.