# MiMo-V2.5 vs Mistral 7B

> MiMo-V2.5 is the stronger model overall, scoring 43.4 to 23.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mimo-v2-5-vs-mistral-7b
- Last updated: 2026-10-11
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. MiMo-V2.5 scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiMo-V2.5 leads 40.8 to 7.4.
- MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.25 / $0.25 for Mistral 7B.
- MiMo-V2.5 accepts more context: 1.05M tokens versus 8K.

## Snapshot

| | MiMo-V2.5 | Mistral 7B |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 43.4 | 23.0 |
| Rank | 93 | 351 |
| Context | 1.05M | 8K |
| Input $/M | $0.14 | $0.25 |
| Output $/M | $0.28 | $0.25 |
| Weights | Open | Open |

## Coding

- MiMo-V2.5: 43.9 (#81)
- Mistral 7B: 26.4 (#326)

| Benchmark | MiMo-V2.5 | Mistral 7B |
|---|---|---|
| LMArena Coding | 1469 | 1082 |
| LMArena WebDev | 1438 | — |
| SciCode | 43.1% | — |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| ALE-Bench | 513.95 | — |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |

## Reasoning

- MiMo-V2.5: 28.6 (#101)
- Mistral 7B: 13.1 (#336)

| Benchmark | MiMo-V2.5 | Mistral 7B |
|---|---|---|
| LMArena Hard Prompts | 1450 | 1067 |
| CritPt | 3.7% | — |
| Chess Puzzles | — | 0% |
| DTBench | — | 42.5% |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| Epoch Capabilities Index | — | 112.21 |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |

## Math

- MiMo-V2.5: 36.8 (#163)
- Mistral 7B: 8.1 (#325)

| Benchmark | MiMo-V2.5 | Mistral 7B |
|---|---|---|
| LMArena Math | 1436 | 1085 |
| OTIS Mock AIME 2024-2025 | — | 0.3% |
| ProofBench | 16% | — |
| MATH Level 5 | — | 3.7% |
| GSM8K | — | 54.4% |

## Knowledge

- MiMo-V2.5: 40.8 (#115)
- Mistral 7B: 7.4 (#311)

| Benchmark | MiMo-V2.5 | Mistral 7B |
|---|---|---|
| LMArena Expert | 1460 | 1036 |
| GPQA Diamond | — | 15.2% |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |

## Multimodal

- MiMo-V2.5: 39.8 (#54)
- Mistral 7B: —

| Benchmark | MiMo-V2.5 | Mistral 7B |
|---|---|---|
| LMArena Vision | 1247 | — |

## Multilingual

- MiMo-V2.5: 51.9 (#99)
- Mistral 7B: 25.8 (#283)

| Benchmark | MiMo-V2.5 | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1404 | 1012 |
| LMArena Chinese | 1468 | 1009 |
| LMArena French | 1447 | 1037 |
| LMArena German | 1421 | 987 |
| LMArena Japanese | 1306 | 878 |
| LMArena Russian | 1395 | 1018 |
| LMArena Spanish | 1416 | 1026 |
| LMArena Korean | 1363 | — |

## Instruction Following

- MiMo-V2.5: 75.5 (#60)
- Mistral 7B: 54.2 (#280)

| Benchmark | MiMo-V2.5 | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1434 | 1060 |

## Long Context

- MiMo-V2.5: 44.2 (#73)
- Mistral 7B: 32.2 (#271)

| Benchmark | MiMo-V2.5 | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1445 | 1060 |

## Writing & Preference

- MiMo-V2.5: 61.6 (#86)
- Mistral 7B: 30.7 (#286)

| Benchmark | MiMo-V2.5 | Mistral 7B |
|---|---|---|
| LMArena Text | 1428 | 1090 |
| LMArena Creative Writing | 1393 | 1068 |
| LMArena Multi-Turn | 1445 | 1062 |

## FAQ

### Is MiMo-V2.5 better than Mistral 7B?

MiMo-V2.5 is the stronger model overall, scoring 43.4 to 23.0 on the Noometry Index.

### Which is cheaper, MiMo-V2.5 or Mistral 7B?

MiMo-V2.5 is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mistral 7B lists at $0.25 and $0.25.

### Is MiMo-V2.5 or Mistral 7B better for coding?

MiMo-V2.5 scores higher on coding benchmarks: 43.9 versus 26.4 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2.5 does, with 1.05M tokens against 8K.

### How many benchmarks do MiMo-V2.5 and Mistral 7B share?

16 benchmarks have published results for both models. MiMo-V2.5 has 23 scored results on Noometry and Mistral 7B has 37.