# GLM-4.5-Air (106B)

> Compact GLM-4.5 companion that keeps the same agent-oriented sparse MoE recipe at a smaller serving footprint.

| Property | Value |
| --- | --- |
| Lab | Z.ai (China) |
| Released | 2025-07-28 |
| Decoder type | Sparse MoE |
| Family | Sparse MoE |
| Scale | 106B total, 12B active (11.3% active) |
| Context window | 128,000 tokens |
| Attention | GQA |
| Layer mix | 46 GQA |
| KV cache / token (bf16) | 184 KiB (High) |
| License | MIT License |

**Key detail:** Shrinks the GLM-4.5 layout to 46 layers, keeps the dense warmup, and inherits the MTP training recipe.

## Architecture concepts

- [Grouped-Query Attention (GQA)](https://llm-atlas-7or.pages.dev/concepts/gqa.md): Several query heads share one key/value head, shrinking the KV cache with little quality loss.
- [Mixture of Experts (MoE)](https://llm-atlas-7or.pages.dev/concepts/moe.md): Many feed-forward experts, but a router sends each token to only a few of them.
- [Multi-Token Prediction (MTP)](https://llm-atlas-7or.pages.dev/concepts/mtp.md): Extra heads learn to predict several future tokens, and can draft tokens at inference.

## Benchmark (Artificial Analysis Intelligence Index)

- AA Intelligence Index v4.3.2: total 11.1 (Scientific 3.5)

## Links

- Architecture diagram: https://sebastianraschka.com/llm-architecture-gallery/images/architectures/glm-4-5-air.webp
- config.json: https://huggingface.co/zai-org/GLM-4.5-Air/blob/main/config.json
- Tech report: https://arxiv.org/pdf/2508.06471
- Source card (source of truth): https://sebastianraschka.com/llm-architecture-gallery/#card-glm-4-5-air
- Web page: https://llm-atlas-7or.pages.dev/models/glm-4-5-air/
- JSON: https://llm-atlas-7or.pages.dev/api/models/glm-4-5-air.json

_Data from Sebastian Raschka's LLM Architecture Gallery (https://sebastianraschka.com/llm-architecture-gallery/). Synced 2026-11-04._