# MiMo-V2-Flash vs Mistral Small 3.2

> MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 31.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mimo-v2-flash-vs-mistral-small-3-2
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in writing & preference, where MiMo-V2-Flash leads 59.7 to 45.0.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2-Flash.
- MiMo-V2-Flash accepts more context: 262K tokens versus 256K.

## Snapshot

| | MiMo-V2-Flash | Mistral Small 3.2 |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 41.3 | 31.2 |
| Rank | 138 | 280 |
| Context | 262K | 256K |
| Input $/M | $0.14 | $0.0938 |
| Output $/M | $0.28 | $0.25 |
| Weights | Open | Open |

## Coding

- MiMo-V2-Flash: 36.1 (#211)
- Mistral Small 3.2: —

| Benchmark | MiMo-V2-Flash | Mistral Small 3.2 |
|---|---|---|
| LMArena WebDev | 1330 | — |
| SciCode | 25.9% | — |
| LMArena Coding | 1443 | — |
| ALE-Bench | 737.95 | — |

## Reasoning

- MiMo-V2-Flash: 24.9 (#157)
- Mistral Small 3.2: 18.1 (#287)

| Benchmark | MiMo-V2-Flash | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | — | 40.4% |
| CritPt | 0% | — |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1420 | — |
| Epoch Capabilities Index | — | 131.74 |

## Math

- MiMo-V2-Flash: 38.3 (#139)
- Mistral Small 3.2: 26.3 (#260)

| Benchmark | MiMo-V2-Flash | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| LMArena Math | 1396 | — |

## Knowledge

- MiMo-V2-Flash: 39.7 (#131)
- Mistral Small 3.2: 26.7 (#256)

| Benchmark | MiMo-V2-Flash | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| LMArena Expert | 1425 | — |

## Multilingual

- MiMo-V2-Flash: 51.0 (#113)
- Mistral Small 3.2: —

| Benchmark | MiMo-V2-Flash | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1392 | — |
| LMArena Chinese | 1462 | — |
| LMArena French | 1429 | — |
| LMArena German | 1395 | — |
| LMArena Japanese | 1325 | — |
| LMArena Korean | 1358 | — |
| LMArena Russian | 1387 | — |
| LMArena Spanish | 1420 | — |

## Instruction Following

- MiMo-V2-Flash: 73.5 (#120)
- Mistral Small 3.2: —

| Benchmark | MiMo-V2-Flash | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1392 | — |

## Long Context

- MiMo-V2-Flash: 43.0 (#110)
- Mistral Small 3.2: —

| Benchmark | MiMo-V2-Flash | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1409 | — |

## Writing & Preference

- MiMo-V2-Flash: 59.7 (#106)
- Mistral Small 3.2: 45.0 (#224)

| Benchmark | MiMo-V2-Flash | Mistral Small 3.2 |
|---|---|---|
| LMArena Text | 1411 | — |
| LMArena Creative Writing | 1375 | — |
| EQ-Bench Creative Writing | — | 1255 |
| LMArena Multi-Turn | 1404 | — |

## FAQ

### Is MiMo-V2-Flash better than Mistral Small 3.2?

MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 31.2 on the Noometry Index.

### Which is cheaper, MiMo-V2-Flash or Mistral Small 3.2?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; MiMo-V2-Flash lists at $0.14 and $0.28.

### Which has the bigger context window?

MiMo-V2-Flash does, with 262K tokens against 256K.

### How many benchmarks do MiMo-V2-Flash and Mistral Small 3.2 share?

0 benchmarks have published results for both models. MiMo-V2-Flash has 21 scored results on Noometry and Mistral Small 3.2 has 6.