# MiMo-V2.5-Pro vs Pixtral Large

> MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 32.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mimo-v2-5-pro-vs-pixtral-large
- Last updated: 2026-10-11
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. MiMo-V2.5-Pro scores higher in 2 categories and Pixtral Large in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.5-Pro leads 65.3 to 32.9.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $2 / $6 for Pixtral Large.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 128K.

## Snapshot

| | MiMo-V2.5-Pro | Pixtral Large |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 45.2 | 32.2 |
| Rank | 74 | 259 |
| Context | 1.05M | 128K |
| Input $/M | $0.43 | $2 |
| Output $/M | $0.87 | $6 |
| Weights | Open | Open |

## Coding

- MiMo-V2.5-Pro: 47.4 (#60)
- Pixtral Large: —

| Benchmark | MiMo-V2.5-Pro | Pixtral Large |
|---|---|---|
| LMArena WebDev | 1479 | — |
| SciCode | 50.2% | — |
| LMArena Coding | 1503 | — |
| ALE-Bench | 899.8 | — |

## Reasoning

- MiMo-V2.5-Pro: 26.8 (#130)
- Pixtral Large: 21.7 (#218)

| Benchmark | MiMo-V2.5-Pro | Pixtral Large |
|---|---|---|
| NYT Connections (extended) | 34.4% | — |
| CritPt | 4% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1488 | — |
| DTBench | 84.5% | — |
| LMCA | 29.5% | — |

## Math

- MiMo-V2.5-Pro: 40.0 (#96)
- Pixtral Large: —

| Benchmark | MiMo-V2.5-Pro | Pixtral Large |
|---|---|---|
| ProofBench | 22% | — |
| LMArena Math | 1481 | — |

## Knowledge

- MiMo-V2.5-Pro: 42.2 (#98)
- Pixtral Large: —

| Benchmark | MiMo-V2.5-Pro | Pixtral Large |
|---|---|---|
| LMArena Expert | 1503 | — |

## Multimodal

- MiMo-V2.5-Pro: —
- Pixtral Large: 30.6 (#111)

| Benchmark | MiMo-V2.5-Pro | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |

## Multilingual

- MiMo-V2.5-Pro: 55.1 (#34)
- Pixtral Large: —

| Benchmark | MiMo-V2.5-Pro | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1449 | — |
| LMArena Chinese | 1507 | — |
| LMArena French | 1488 | — |
| LMArena German | 1458 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1437 | — |
| LMArena Russian | 1450 | — |
| LMArena Spanish | 1471 | — |

## Instruction Following

- MiMo-V2.5-Pro: 77.5 (#21)
- Pixtral Large: —

| Benchmark | MiMo-V2.5-Pro | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1477 | — |

## Long Context

- MiMo-V2.5-Pro: 45.4 (#37)
- Pixtral Large: —

| Benchmark | MiMo-V2.5-Pro | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1483 | — |

## Writing & Preference

- MiMo-V2.5-Pro: 65.3 (#49)
- Pixtral Large: 32.9 (#278)

| Benchmark | MiMo-V2.5-Pro | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 1493 | 988 |
| LMArena Text | 1465 | — |
| LMArena Creative Writing | 1440 | — |
| EQ-Bench 4 | 1208 | — |
| LMArena Multi-Turn | 1477 | — |

## FAQ

### Is MiMo-V2.5-Pro better than Pixtral Large?

MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 32.2 on the Noometry Index.

### Which is cheaper, MiMo-V2.5-Pro or Pixtral Large?

MiMo-V2.5-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Pixtral Large lists at $2 and $6.

### Which has the bigger context window?

MiMo-V2.5-Pro does, with 1.05M tokens against 128K.

### How many benchmarks do MiMo-V2.5-Pro and Pixtral Large share?

1 benchmark has published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and Pixtral Large has 3.