# MiMo-V2-Pro vs Qwen3.5 27B

> MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 41.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mimo-v2-pro-vs-qwen3-5-27b
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. MiMo-V2-Pro scores higher in 6 categories and Qwen3.5 27B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.5 27B leads 27.5 to 22.1.
- The biggest single-benchmark swing is NYT Connections (extended): 25.8% for MiMo-V2-Pro and 47.9% for Qwen3.5 27B.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.30 / $2.40 for Qwen3.5 27B.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 262K.
- Qwen3.5 27B has downloadable open weights; the other is API-only.

## Snapshot

| | MiMo-V2-Pro | Qwen3.5 27B |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 43.0 | 41.9 |
| Rank | 103 | 127 |
| Context | 1.05M | 262K |
| Input $/M | $0.43 | $0.30 |
| Output $/M | $0.87 | $2.40 |
| Weights | Proprietary | Open |

## Coding

- MiMo-V2-Pro: 43.8 (#83)
- Qwen3.5 27B: 38.9 (#168)

| Benchmark | MiMo-V2-Pro | Qwen3.5 27B |
|---|---|---|
| LMArena WebDev | 1433 | 1358 |
| LMArena Coding | 1476 | 1427 |
| ALE-Bench | 785.17 | 349.45 |
| WeirdML | — | 39.5% |

## Agentic & Tool Use

- MiMo-V2-Pro: —
- Qwen3.5 27B: —

| Benchmark | MiMo-V2-Pro | Qwen3.5 27B |
|---|---|---|
| Vending-Bench 2 | — | 201.98 |

## Reasoning

- MiMo-V2-Pro: 22.1 (#206)
- Qwen3.5 27B: 27.5 (#117)

| Benchmark | MiMo-V2-Pro | Qwen3.5 27B |
|---|---|---|
| NYT Connections (extended) | 25.8% | 47.9% |
| Thematic Generalization | 45.9% | 45.5% |
| LMArena Hard Prompts | 1457 | 1414 |
| DTBench | — | 82.4% |
| LMCA | — | 34% |

## Math

- MiMo-V2-Pro: 39.5 (#102)
- Qwen3.5 27B: 38.8 (#127)

| Benchmark | MiMo-V2-Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Math | 1447 | 1429 |
| MathArena Final-Answer Competitions | — | 56.7% |

## Knowledge

- MiMo-V2-Pro: 41.4 (#111)
- Qwen3.5 27B: 38.0 (#150)

| Benchmark | MiMo-V2-Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Expert | 1478 | 1428 |
| Vectara Hallucination Rate | — | 12.1% |

## Multimodal

- MiMo-V2-Pro: —
- Qwen3.5 27B: 39.4 (#59)

| Benchmark | MiMo-V2-Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Vision | — | 1241 |

## Multilingual

- MiMo-V2-Pro: 52.7 (#81)
- Qwen3.5 27B: 50.8 (#115)

| Benchmark | MiMo-V2-Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Non-English | 1416 | 1390 |
| LMArena Chinese | 1456 | 1478 |
| LMArena French | 1469 | 1410 |
| LMArena German | 1417 | 1393 |
| LMArena Japanese | 1366 | 1345 |
| LMArena Korean | 1400 | 1358 |
| LMArena Russian | 1427 | 1390 |
| LMArena Spanish | 1457 | 1407 |

## Instruction Following

- MiMo-V2-Pro: 76.0 (#49)
- Qwen3.5 27B: 73.5 (#119)

| Benchmark | MiMo-V2-Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Instruction Following | 1445 | 1393 |

## Long Context

- MiMo-V2-Pro: 41.5 (#138)
- Qwen3.5 27B: 43.1 (#106)

| Benchmark | MiMo-V2-Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Longer Query | 1455 | 1413 |
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |

## Writing & Preference

- MiMo-V2-Pro: 62.8 (#70)
- Qwen3.5 27B: 59.3 (#111)

| Benchmark | MiMo-V2-Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Text | 1436 | 1409 |
| LMArena Creative Writing | 1415 | 1362 |
| LMArena Multi-Turn | 1456 | 1410 |

## FAQ

### Is MiMo-V2-Pro better than Qwen3.5 27B?

MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 41.9 on the Noometry Index.

### Which is cheaper, MiMo-V2-Pro or Qwen3.5 27B?

MiMo-V2-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Qwen3.5 27B lists at $0.30 and $2.40.

### Is MiMo-V2-Pro or Qwen3.5 27B better for coding?

MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 38.9 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2-Pro does, with 1.05M tokens against 262K.

### How many benchmarks do MiMo-V2-Pro and Qwen3.5 27B share?

21 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Qwen3.5 27B has 28.