GLM-4.5-Air
Active Parameters
106B
Context Length
128K
Modality
Multimodal
Architecture
Mixture of Experts (MoE)
License
MIT License
Release Date
28 Jul 2025
Knowledge Cutoff
Mar 2025
API Pricing (per 1M)
Input: $0.17 · Output: $0.98
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
11x RTX 4090
24GB VRAM
Datacenter
4x NVIDIA A100
80GB VRAM
Apple Silicon
3x Apple M3 Max
128GB VRAM
128,000 tokens
Consumer
13x RTX 4090
24GB VRAM
Datacenter
4x NVIDIA A100
80GB VRAM
Apple Silicon
3x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
Rank
#96
| Benchmark | Score | Rank |
|---|---|---|
Professional Knowledge | 0.814 | 25 |
Graduate-Level QA | 0.75 | 74 |
General Text | 1373 | 110 |
Intelligence Index | 0.11 | 208 |
Rankings
Overall Rank
#96
Coding Rank
-
About GLM-4.5-Air
GLM-4.5-Air is a high-efficiency 106B Mixture-of-Experts model by Z.ai activating 12B parameters for responsive agentic workflows and code generation. It incorporates Multi-Token Prediction and hybrid reasoning modes across a 128K context window.
Technical Specifications
Attention
Attention Structure
Multi-Head Attention
Attention Heads
96
Key-Value Heads
8
Attention Head Dimension
128
Position Embedding
Absolute Position Embedding
RoPE Theta
1,000,000
Sliding Window Attention
No
Sliding Window Size
-
Sliding Window Ratio
-
Linear Attention
-
Linear Attention Ratio
-
Normalization
RMS Normalization
Activation Function
Swish
Dimensions
Hidden Dimension Size
4,096
Number of Layers
46
FFN Intermediate Size (Dense)
1,408
Multi-Token Prediction Heads
1
Tokenizer
Vocabulary Size
151,552
Mixture of Experts
Total Expert Parameters
12.0B
Number of Experts
129
Active Experts
9
Shared Experts
1
FFN Intermediate Size (per Expert)
1,408
Dense Layers Before MoE
1
About GLM Family
General Language Models from Z.ai