# MiMo-V2.6-Flash vs Qwen3.5 27B

> MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 41.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mimo-v2-6-flash-vs-qwen3-5-27b
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. MiMo-V2.6-Flash scores higher in 9 categories and Qwen3.5 27B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiMo-V2.6-Flash leads 53.4 to 38.9.
- MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.30 / $2.40 for Qwen3.5 27B.
- MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 262K.

## Snapshot

| | MiMo-V2.6-Flash | Qwen3.5 27B |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 48.5 | 41.9 |
| Rank | 55 | 127 |
| Context | 1.05M | 262K |
| Input $/M | $0.14 | $0.30 |
| Output $/M | $0.28 | $2.40 |
| Weights | Open | Open |

## Coding

- MiMo-V2.6-Flash: 53.4 (#30)
- Qwen3.5 27B: 38.9 (#168)

| Benchmark | MiMo-V2.6-Flash | Qwen3.5 27B |
|---|---|---|
| LMArena WebDev | 1637 | 1358 |
| LMArena Coding | 1504 | 1427 |
| SciCode | 51.3% | — |
| WeirdML | — | 39.5% |
| ALE-Bench | — | 349.45 |

## Agentic & Tool Use

- MiMo-V2.6-Flash: —
- Qwen3.5 27B: —

| Benchmark | MiMo-V2.6-Flash | Qwen3.5 27B |
|---|---|---|
| Vending-Bench 2 | — | 201.98 |

## Reasoning

- MiMo-V2.6-Flash: 36.5 (#66)
- Qwen3.5 27B: 27.5 (#117)

| Benchmark | MiMo-V2.6-Flash | Qwen3.5 27B |
|---|---|---|
| LMArena Hard Prompts | 1482 | 1414 |
| NYT Connections (extended) | — | 47.9% |
| CritPt | 12% | — |
| Thematic Generalization | — | 45.5% |
| DTBench | — | 82.4% |
| LMCA | — | 34% |

## Math

- MiMo-V2.6-Flash: 51.9 (#52)
- Qwen3.5 27B: 38.8 (#127)

| Benchmark | MiMo-V2.6-Flash | Qwen3.5 27B |
|---|---|---|
| LMArena Math | 1468 | 1429 |
| MathArena Final-Answer Competitions | — | 56.7% |
| ProofBench | 63% | — |

## Knowledge

- MiMo-V2.6-Flash: 42.2 (#99)
- Qwen3.5 27B: 38.0 (#150)

| Benchmark | MiMo-V2.6-Flash | Qwen3.5 27B |
|---|---|---|
| LMArena Expert | 1501 | 1428 |
| Vectara Hallucination Rate | — | 12.1% |

## Multimodal

- MiMo-V2.6-Flash: 40.5 (#47)
- Qwen3.5 27B: 39.4 (#59)

| Benchmark | MiMo-V2.6-Flash | Qwen3.5 27B |
|---|---|---|
| LMArena Vision | 1259 | 1241 |

## Multilingual

- MiMo-V2.6-Flash: 54.0 (#51)
- Qwen3.5 27B: 50.8 (#115)

| Benchmark | MiMo-V2.6-Flash | Qwen3.5 27B |
|---|---|---|
| LMArena Non-English | 1434 | 1390 |
| LMArena Chinese | 1511 | 1478 |
| LMArena French | 1475 | 1410 |
| LMArena Russian | 1409 | 1390 |
| LMArena Spanish | 1456 | 1407 |
| LMArena German | — | 1393 |
| LMArena Japanese | — | 1345 |
| LMArena Korean | — | 1358 |

## Instruction Following

- MiMo-V2.6-Flash: 76.8 (#35)
- Qwen3.5 27B: 73.5 (#119)

| Benchmark | MiMo-V2.6-Flash | Qwen3.5 27B |
|---|---|---|
| LMArena Instruction Following | 1463 | 1393 |

## Long Context

- MiMo-V2.6-Flash: 44.8 (#57)
- Qwen3.5 27B: 43.1 (#106)

| Benchmark | MiMo-V2.6-Flash | Qwen3.5 27B |
|---|---|---|
| LMArena Longer Query | 1463 | 1413 |

## Writing & Preference

- MiMo-V2.6-Flash: 63.1 (#67)
- Qwen3.5 27B: 59.3 (#111)

| Benchmark | MiMo-V2.6-Flash | Qwen3.5 27B |
|---|---|---|
| LMArena Text | 1455 | 1409 |
| LMArena Creative Writing | 1400 | 1362 |
| LMArena Multi-Turn | 1451 | 1410 |

## FAQ

### Is MiMo-V2.6-Flash better than Qwen3.5 27B?

MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 41.9 on the Noometry Index.

### Which is cheaper, MiMo-V2.6-Flash or Qwen3.5 27B?

MiMo-V2.6-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Qwen3.5 27B lists at $0.30 and $2.40.

### Is MiMo-V2.6-Flash or Qwen3.5 27B better for coding?

MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 38.9 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2.6-Flash does, with 1.05M tokens against 262K.

### How many benchmarks do MiMo-V2.6-Flash and Qwen3.5 27B share?

16 benchmarks have published results for both models. MiMo-V2.6-Flash has 19 scored results on Noometry and Qwen3.5 27B has 28.