# GLM-4.5-Air vs MiMo-V2.6-Flash

> MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 38.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5-air-vs-mimo-v2-6-flash
- Last updated: 2026-10-12
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. GLM-4.5-Air scores higher in 0 categories and MiMo-V2.6-Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiMo-V2.6-Flash leads 53.4 to 33.3.
- MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.20 / $1.10 for GLM-4.5-Air.
- MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 131K.

## Snapshot

| | GLM-4.5-Air | MiMo-V2.6-Flash |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 38.9 | 48.5 |
| Rank | 177 | 55 |
| Context | 131K | 1.05M |
| Input $/M | $0.20 | $0.14 |
| Output $/M | $1.10 | $0.28 |
| Weights | Open | Open |

## Coding

- GLM-4.5-Air: 33.3 (#259)
- MiMo-V2.6-Flash: 53.4 (#30)

| Benchmark | GLM-4.5-Air | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Coding | 1397 | 1504 |
| LMArena WebDev | — | 1637 |
| SciCode | — | 51.3% |
| GSO | 2.9% | — |

## Reasoning

- GLM-4.5-Air: 24.1 (#166)
- MiMo-V2.6-Flash: 36.5 (#66)

| Benchmark | GLM-4.5-Air | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Hard Prompts | 1379 | 1482 |
| Kagi LLM Benchmark | 43% | — |
| CritPt | — | 12% |
| ForecastBench | 59.2 | — |

## Math

- GLM-4.5-Air: 36.2 (#170)
- MiMo-V2.6-Flash: 51.9 (#52)

| Benchmark | GLM-4.5-Air | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Math | 1396 | 1468 |
| ProofBench | — | 63% |
| Omni-MATH | 39.1% | — |

## Knowledge

- GLM-4.5-Air: 35.0 (#191)
- MiMo-V2.6-Flash: 42.2 (#99)

| Benchmark | GLM-4.5-Air | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Expert | 1370 | 1501 |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |

## Multimodal

- GLM-4.5-Air: —
- MiMo-V2.6-Flash: 40.5 (#47)

| Benchmark | GLM-4.5-Air | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Vision | — | 1259 |

## Multilingual

- GLM-4.5-Air: 49.1 (#135)
- MiMo-V2.6-Flash: 54.0 (#51)

| Benchmark | GLM-4.5-Air | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Non-English | 1366 | 1434 |
| LMArena Chinese | 1426 | 1511 |
| LMArena French | 1399 | 1475 |
| LMArena Russian | 1373 | 1409 |
| LMArena Spanish | 1386 | 1456 |
| LMArena German | 1377 | — |
| LMArena Japanese | 1348 | — |
| LMArena Korean | 1308 | — |

## Instruction Following

- GLM-4.5-Air: 69.6 (#171)
- MiMo-V2.6-Flash: 76.8 (#35)

| Benchmark | GLM-4.5-Air | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Instruction Following | 1354 | 1463 |
| IFEval | 81.2% | — |

## Long Context

- GLM-4.5-Air: 41.6 (#135)
- MiMo-V2.6-Flash: 44.8 (#57)

| Benchmark | GLM-4.5-Air | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Longer Query | 1366 | 1463 |

## Writing & Preference

- GLM-4.5-Air: 55.9 (#139)
- MiMo-V2.6-Flash: 63.1 (#67)

| Benchmark | GLM-4.5-Air | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Text | 1384 | 1455 |
| LMArena Creative Writing | 1343 | 1400 |
| LMArena Multi-Turn | 1371 | 1451 |
| WildBench | 78.9% | — |

## FAQ

### Is GLM-4.5-Air better than MiMo-V2.6-Flash?

MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 38.9 on the Noometry Index.

### Which is cheaper, GLM-4.5-Air or MiMo-V2.6-Flash?

MiMo-V2.6-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GLM-4.5-Air lists at $0.20 and $1.10.

### Is GLM-4.5-Air or MiMo-V2.6-Flash better for coding?

MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 33.3 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2.6-Flash does, with 1.05M tokens against 131K.

### How many benchmarks do GLM-4.5-Air and MiMo-V2.6-Flash share?

14 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and MiMo-V2.6-Flash has 19.