# MiMo-V2-Pro vs Mistral Small 3.2

> MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 4.1× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.

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

## Summary

- The widest gap is in writing & preference, where MiMo-V2-Pro leads 62.8 to 45.0.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 256K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.

## Snapshot

| | MiMo-V2-Pro | Mistral Small 3.2 |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 43.0 | 31.2 |
| Rank | 103 | 280 |
| Context | 1.05M | 256K |
| Input $/M | $0.43 | $0.0938 |
| Output $/M | $0.87 | $0.25 |
| Weights | Proprietary | Open |

## Coding

- MiMo-V2-Pro: 43.8 (#83)
- Mistral Small 3.2: —

| Benchmark | MiMo-V2-Pro | Mistral Small 3.2 |
|---|---|---|
| LMArena WebDev | 1433 | — |
| LMArena Coding | 1476 | — |
| ALE-Bench | 785.17 | — |

## Reasoning

- MiMo-V2-Pro: 22.1 (#206)
- Mistral Small 3.2: 18.1 (#287)

| Benchmark | MiMo-V2-Pro | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | — | 40.4% |
| NYT Connections (extended) | 25.8% | — |
| Chess Puzzles | — | 1% |
| Thematic Generalization | 45.9% | — |
| LMArena Hard Prompts | 1457 | — |
| Epoch Capabilities Index | — | 131.74 |

## Math

- MiMo-V2-Pro: 39.5 (#102)
- Mistral Small 3.2: 26.3 (#260)

| Benchmark | MiMo-V2-Pro | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| LMArena Math | 1447 | — |

## Knowledge

- MiMo-V2-Pro: 41.4 (#111)
- Mistral Small 3.2: 26.7 (#256)

| Benchmark | MiMo-V2-Pro | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| LMArena Expert | 1478 | — |

## Multilingual

- MiMo-V2-Pro: 52.7 (#81)
- Mistral Small 3.2: —

| Benchmark | MiMo-V2-Pro | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1416 | — |
| LMArena Chinese | 1456 | — |
| LMArena French | 1469 | — |
| LMArena German | 1417 | — |
| LMArena Japanese | 1366 | — |
| LMArena Korean | 1400 | — |
| LMArena Russian | 1427 | — |
| LMArena Spanish | 1457 | — |

## Instruction Following

- MiMo-V2-Pro: 76.0 (#49)
- Mistral Small 3.2: —

| Benchmark | MiMo-V2-Pro | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1445 | — |

## Long Context

- MiMo-V2-Pro: 41.5 (#138)
- Mistral Small 3.2: —

| Benchmark | MiMo-V2-Pro | Mistral Small 3.2 |
|---|---|---|
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |
| LMArena Longer Query | 1455 | — |

## Writing & Preference

- MiMo-V2-Pro: 62.8 (#70)
- Mistral Small 3.2: 45.0 (#224)

| Benchmark | MiMo-V2-Pro | Mistral Small 3.2 |
|---|---|---|
| LMArena Text | 1436 | — |
| LMArena Creative Writing | 1415 | — |
| EQ-Bench Creative Writing | — | 1255 |
| LMArena Multi-Turn | 1456 | — |

## FAQ

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

MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 4.1× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.

### Which is cheaper, MiMo-V2-Pro 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-Pro lists at $0.43 and $0.87.

### Which has the bigger context window?

MiMo-V2-Pro does, with 1.05M tokens against 256K.

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

0 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Mistral Small 3.2 has 6.