# MiMo-V2.5-Pro vs Qwen2.5 7B Instruct

> MiMo-V2.5-Pro is the stronger model overall, scoring 44.8 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 1.8× less per token, which makes it the better buy when MiMo-V2.5-Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mimo-v2-5-pro-vs-qwen2-5-7b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. MiMo-V2.5-Pro scores higher in 6 categories and Qwen2.5 7B Instruct in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2.5-Pro leads 38.6 to 11.8.
- The biggest single-benchmark swing is DTBench: 84.5% for MiMo-V2.5-Pro and 47.7% for Qwen2.5 7B Instruct.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 131K.

## Snapshot

| | MiMo-V2.5-Pro | Qwen2.5 7B Instruct |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 44.8 | 28.6 |
| Rank | 70 | 314 |
| Context | 1.05M | 131K |
| Input $/M | $0.43 | $0.17 |
| Output $/M | $0.87 | $0.70 |
| Weights | Open | Open |

## Coding

- MiMo-V2.5-Pro: 47.0 (#58)
- Qwen2.5 7B Instruct: 35.9 (#204)

| Benchmark | MiMo-V2.5-Pro | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena WebDev | 1477 | — |
| SciCode | 50.2% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1502 | — |
| BigCodeBench Complete | — | 46.1% |
| ALE-Bench | 899.8 | — |

## Agentic & Tool Use

- MiMo-V2.5-Pro: —
- Qwen2.5 7B Instruct: 23.5 (#117)

| Benchmark | MiMo-V2.5-Pro | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |

## Reasoning

- MiMo-V2.5-Pro: 25.9 (#124)
- Qwen2.5 7B Instruct: 14.3 (#317)

| Benchmark | MiMo-V2.5-Pro | Qwen2.5 7B Instruct |
|---|---|---|
| DTBench | 84.5% | 47.7% |
| LMCA | 29.5% | 6.4% |
| NYT Connections (extended) | 34.4% | — |
| CritPt | 4% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1487 | — |
| Epoch Capabilities Index | — | 118.44 |

## Math

- MiMo-V2.5-Pro: 38.6 (#84)
- Qwen2.5 7B Instruct: 11.8 (#300)

| Benchmark | MiMo-V2.5-Pro | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| ProofBench | 22% | — |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1480 | — |

## Knowledge

- MiMo-V2.5-Pro: 41.5 (#100)
- Qwen2.5 7B Instruct: 17.0 (#281)

| Benchmark | MiMo-V2.5-Pro | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1501 | — |
| MMLU | — | 72.9% |

## Multilingual

- MiMo-V2.5-Pro: 55.3 (#33)
- Qwen2.5 7B Instruct: —

| Benchmark | MiMo-V2.5-Pro | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1449 | — |
| LMArena Chinese | 1507 | — |
| LMArena French | 1489 | — |
| LMArena German | 1455 | — |
| LMArena Japanese | 1418 | — |
| LMArena Korean | 1436 | — |
| LMArena Russian | 1450 | — |
| LMArena Spanish | 1470 | — |

## Instruction Following

- MiMo-V2.5-Pro: 77.6 (#21)
- Qwen2.5 7B Instruct: 63.4 (#226)

| Benchmark | MiMo-V2.5-Pro | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1477 | — |

## Long Context

- MiMo-V2.5-Pro: 45.4 (#38)
- Qwen2.5 7B Instruct: —

| Benchmark | MiMo-V2.5-Pro | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1482 | — |

## Writing & Preference

- MiMo-V2.5-Pro: 65.5 (#47)
- Qwen2.5 7B Instruct: 48.8 (#194)

| Benchmark | MiMo-V2.5-Pro | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1465 | — |
| LMArena Creative Writing | 1440 | — |
| EQ-Bench Creative Writing | 1493 | — |
| WildBench | — | 73.1% |
| EQ-Bench 4 | 1208 | — |
| LMArena Multi-Turn | 1477 | — |

## FAQ

### Is MiMo-V2.5-Pro better than Qwen2.5 7B Instruct?

MiMo-V2.5-Pro is the stronger model overall, scoring 44.8 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 1.8× less per token, which makes it the better buy when MiMo-V2.5-Pro's lead doesn't matter for your workload.

### Which is cheaper, MiMo-V2.5-Pro or Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; MiMo-V2.5-Pro lists at $0.43 and $0.87.

### Is MiMo-V2.5-Pro or Qwen2.5 7B Instruct better for coding?

MiMo-V2.5-Pro scores higher on coding benchmarks: 47.0 versus 35.9 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2.5-Pro does, with 1.05M tokens against 131K.

### How many benchmarks do MiMo-V2.5-Pro and Qwen2.5 7B Instruct share?

2 benchmarks have published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and Qwen2.5 7B Instruct has 15.