# GLM-4.5-Air vs MiMo-V2-Pro

> MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 38.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5-air-vs-mimo-v2-pro
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GLM-4.5-Air scores higher in 2 categories and MiMo-V2-Pro in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiMo-V2-Pro leads 43.4 to 34.5.
- GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 131K.
- GLM-4.5-Air has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.5-Air | MiMo-V2-Pro |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 38.7 | 42.4 |
| Rank | 169 | 102 |
| Context | 131K | 1.05M |
| Input $/M | $0.20 | $0.43 |
| Output $/M | $1.10 | $0.87 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.5-Air: 34.5 (#225)
- MiMo-V2-Pro: 43.4 (#76)

| Benchmark | GLM-4.5-Air | MiMo-V2-Pro |
|---|---|---|
| LMArena Coding | 1397 | 1476 |
| LMArena WebDev | — | 1433 |
| GSO | 2.9% | — |
| ALE-Bench | — | 785.17 |

## Reasoning

- GLM-4.5-Air: 23.3 (#166)
- MiMo-V2-Pro: 21.3 (#200)

| Benchmark | GLM-4.5-Air | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1379 | 1457 |
| Kagi LLM Benchmark | 43% | — |
| NYT Connections (extended) | — | 25.8% |
| Thematic Generalization | — | 45.9% |
| ForecastBench | 59.2 | — |

## Math

- GLM-4.5-Air: 33.8 (#166)
- MiMo-V2-Pro: 36.7 (#104)

| Benchmark | GLM-4.5-Air | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1396 | 1447 |
| Omni-MATH | 39.1% | — |

## Knowledge

- GLM-4.5-Air: 34.6 (#184)
- MiMo-V2-Pro: 40.8 (#106)

| Benchmark | GLM-4.5-Air | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1370 | 1479 |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |

## Multilingual

- GLM-4.5-Air: 49.4 (#130)
- MiMo-V2-Pro: 52.9 (#77)

| Benchmark | GLM-4.5-Air | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1366 | 1416 |
| LMArena Chinese | 1427 | 1455 |
| LMArena French | 1399 | 1470 |
| LMArena German | 1376 | 1417 |
| LMArena Japanese | 1348 | 1366 |
| LMArena Korean | 1306 | 1401 |
| LMArena Russian | 1373 | 1427 |
| LMArena Spanish | 1385 | 1458 |

## Instruction Following

- GLM-4.5-Air: 69.8 (#165)
- MiMo-V2-Pro: 76.2 (#46)

| Benchmark | GLM-4.5-Air | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1353 | 1444 |
| IFEval | 81.2% | — |

## Long Context

- GLM-4.5-Air: 41.6 (#130)
- MiMo-V2-Pro: 41.5 (#133)

| Benchmark | GLM-4.5-Air | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1367 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |

## Writing & Preference

- GLM-4.5-Air: 56.1 (#134)
- MiMo-V2-Pro: 62.9 (#67)

| Benchmark | GLM-4.5-Air | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1384 | 1436 |
| LMArena Creative Writing | 1343 | 1415 |
| LMArena Multi-Turn | 1371 | 1456 |
| WildBench | 78.9% | — |

## FAQ

### Is GLM-4.5-Air better than MiMo-V2-Pro?

MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 38.7 on the Noometry Index.

### Which is cheaper, GLM-4.5-Air or MiMo-V2-Pro?

GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; MiMo-V2-Pro lists at $0.43 and $0.87.

### Is GLM-4.5-Air or MiMo-V2-Pro better for coding?

MiMo-V2-Pro scores higher on coding benchmarks: 43.4 versus 34.5 in the Noometry coding category.

### Which has the bigger context window?

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

### How many benchmarks do GLM-4.5-Air and MiMo-V2-Pro share?

17 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and MiMo-V2-Pro has 23.