# MiMo-V2.5 vs Mistral Small

> MiMo-V2.5 is the stronger model overall, scoring 43.0 to 33.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mimo-v2-5-vs-mistral-small
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. MiMo-V2.5 scores higher in 9 categories and Mistral Small in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2.5 leads 35.4 to 15.4.
- The biggest single-benchmark swing is SciCode: 43.1% for MiMo-V2.5 and 26.5% for Mistral Small.
- MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.15 / $0.60 for Mistral Small.
- MiMo-V2.5 accepts more context: 1.05M tokens versus 256K.

## Snapshot

| | MiMo-V2.5 | Mistral Small |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 43.0 | 33.1 |
| Rank | 89 | 238 |
| Context | 1.05M | 256K |
| Input $/M | $0.14 | $0.15 |
| Output $/M | $0.28 | $0.60 |
| Weights | Open | Open |

## Coding

- MiMo-V2.5: 43.6 (#75)
- Mistral Small: 33.5 (#242)

| Benchmark | MiMo-V2.5 | Mistral Small |
|---|---|---|
| SciCode | 43.1% | 26.5% |
| LMArena Coding | 1469 | 1363 |
| ALE-Bench | 513.95 | 497.62 |
| LMArena WebDev | 1438 | — |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| BigCodeBench Complete | — | 46.6% |

## Agentic & Tool Use

- MiMo-V2.5: —
- Mistral Small: 27.9 (#87)

| Benchmark | MiMo-V2.5 | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |

## Reasoning

- MiMo-V2.5: 27.8 (#98)
- Mistral Small: 19.3 (#238)

| Benchmark | MiMo-V2.5 | Mistral Small |
|---|---|---|
| CritPt | 3.7% | 0% |
| LMArena Hard Prompts | 1450 | 1336 |
| Kagi LLM Benchmark | — | 37.8% |
| LiveBench Reasoning | — | 44.8% |
| DTBench | — | 70.9% |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| LiveBench | — | 44% |

## Math

- MiMo-V2.5: 35.4 (#145)
- Mistral Small: 15.4 (#287)

| Benchmark | MiMo-V2.5 | Mistral Small |
|---|---|---|
| LMArena Math | 1436 | 1341 |
| OTIS Mock AIME 2024-2025 | — | 5.8% |
| ProofBench | 16% | — |
| LiveBench Math | — | 39.9% |
| MATH Level 5 | — | 46.8% |

## Knowledge

- MiMo-V2.5: 40.2 (#109)
- Mistral Small: 30.9 (#214)

| Benchmark | MiMo-V2.5 | Mistral Small |
|---|---|---|
| LMArena Expert | 1459 | 1293 |
| GPQA Diamond | — | 47.5% |
| Vectara Hallucination Rate | — | 5.1% |
| MMLU | — | 68.7% |

## Multimodal

- MiMo-V2.5: 39.0 (#53)
- Mistral Small: 32.9 (#91)

| Benchmark | MiMo-V2.5 | Mistral Small |
|---|---|---|
| LMArena Vision | 1245 | 1142 |

## Multilingual

- MiMo-V2.5: 52.0 (#96)
- Mistral Small: 45.7 (#164)

| Benchmark | MiMo-V2.5 | Mistral Small |
|---|---|---|
| LMArena Non-English | 1404 | 1315 |
| LMArena Chinese | 1467 | 1342 |
| LMArena French | 1447 | 1337 |
| LMArena German | 1421 | 1341 |
| LMArena Japanese | 1304 | 1275 |
| LMArena Korean | 1363 | 1260 |
| LMArena Russian | 1395 | 1324 |
| LMArena Spanish | 1412 | 1346 |

## Instruction Following

- MiMo-V2.5: 75.7 (#55)
- Mistral Small: 66.6 (#204)

| Benchmark | MiMo-V2.5 | Mistral Small |
|---|---|---|
| LMArena Instruction Following | 1433 | 1310 |
| LiveBench Instruction Following | — | 63.7% |

## Long Context

- MiMo-V2.5: 44.1 (#69)
- Mistral Small: 40.4 (#151)

| Benchmark | MiMo-V2.5 | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1444 | 1327 |

## Writing & Preference

- MiMo-V2.5: 61.8 (#82)
- Mistral Small: 52.6 (#165)

| Benchmark | MiMo-V2.5 | Mistral Small |
|---|---|---|
| LMArena Text | 1427 | 1338 |
| LMArena Creative Writing | 1392 | 1304 |
| LMArena Multi-Turn | 1445 | 1344 |
| LiveBench Language | — | 30.5% |

## FAQ

### Is MiMo-V2.5 better than Mistral Small?

MiMo-V2.5 is the stronger model overall, scoring 43.0 to 33.1 on the Noometry Index.

### Which is cheaper, MiMo-V2.5 or Mistral Small?

MiMo-V2.5 is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mistral Small lists at $0.15 and $0.60.

### Is MiMo-V2.5 or Mistral Small better for coding?

MiMo-V2.5 scores higher on coding benchmarks: 43.6 versus 33.5 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2.5 does, with 1.05M tokens against 256K.

### How many benchmarks do MiMo-V2.5 and Mistral Small share?

21 benchmarks have published results for both models. MiMo-V2.5 has 23 scored results on Noometry and Mistral Small has 39.