Model reference · open weights

GLM-4.5-Air

LLMs zai-org Text gen 2 builds Open weights 116k dl/mo

GLM-4.5-Air is an open-weight language model from zai-org. GLM-4.5-Air-FP8 (FP8) weighs 113 GB; the smallest configuration that runs it is 4× RTX 5090 32 GB.

  • GLM-4.5-Air is a foundation model developed by zai-org for intelligent agent applications, unifying reasoning, coding, and agent capabilities.
  • It features a compact design with 110.5B total parameters and 12B active parameters, supporting a context length of 131072 tokens.
  • The model operates in English and Chinese, offering hybrid reasoning modes for complex tasks or immediate responses, and is released under the MIT license.

Summary of the zai-org/GLM-4.5-Air model card, 2026-10-01. The estimate below is for another build of the family.

What it is

Released byzai-org
Released2025-07-20
Parameters110.5B
VRAM113 GB for the weights

What it runs on

Memory and cards for GLM-4.5-Air-FP8 (FP8)

113 GBweights, file size
188 MBcache per 1K tokens
1.7 GBruntime overhead, at least
131,072 tokenscontext max
CardRequests at onceContext maxMemory
8K each32K each
RTX 3060 12 GB … DGX Spark (GB10) 128 GB unified
10 smaller cards
———
H200 141 GB10286K138 GB
B200 180 GB328all 128K176 GB
4× RTX 5090 32 GB
tensor parallel
3—25K31.0 GB a card
2× H100 80 GB
tensor parallel
164all 128K78.1 GB a card
2× A100 80 GB
tensor parallel · FP8 without its speed-up here
266all 128K78.2 GB a card
4× L40S 48 GB
tensor parallel
369all 128K44.0 GB a card
2× RTX PRO 6000 Blackwell 96 GB
tensor parallel
379all 128K93.8 GB a card
2× H200 141 GB
tensor parallel
9423all 128K138 GB a card
Memory needed at each load
Requests at once8K tokens each32K tokens each
1116 GB120 GB
5122 GB145 GB
8127 GB164 GB
16139 GB213 GB
32164 GB312 GB
64213 GB509 GB

One card, with vLLM's small-card settings.

Builds

Sizes, precisions & builds

BuildParamsPrecisionWeightsSmallest setup
GLM-4.5-Air ↗ 110.5BBF16 221 GB2× H200 141 GB
GLM-4.5-Air-FP8 (above) ↗ 110.5BFP8 113 GB4× RTX 5090 32 GB

From the model card

What zai-org says about GLM-4.5-Air

Read the model card

📖 Check out the GLM-4.5 technical blog, technical report, and Zhipu AI technical documentation. 📍 Use GLM-4.5 API services on Z.ai API Platform (Global) or Zhipu AI Open Platform (Mainland China). 👉 One click to GLM-4.5.

Model Introduction

The GLM-4.5 series models are foundation models designed for intelligent agents. GLM-4.5 has 355 billion total parameters with 32 billion active parameters, while GLM-4.5-Air adopts a more compact design with 106 billion total parameters and 12 billion active parameters. GLM-4.5 models unify reasoning, coding, and intelligent agent capabilities to meet the complex demands of intelligent agent applications.

Both GLM-4.5 and GLM-4.5-Air are hybrid reasoning models that provide two modes: thinking mode for complex reasoning and tool usage, and non-thinking mode for immediate responses.

We have open-sourced the base models, hybrid reasoning models, and FP8 versions of the hybrid reasoning models for both GLM-4.5 and GLM-4.5-Air. They are released under the MIT open-source license and can be used commercially and for secondary development.

As demonstrated in our comprehensive evaluation across 12 industry-standard benchmarks, GLM-4.5 achieves exceptional performance with a score of 63.2, in the 3rd place among all the proprietary and open-source models. Notably, GLM-4.5-Air delivers competitive results at 59.8 while maintaining superior efficiency.

For more eval results, show cases, and technical details, please visit our technical blog or technical report.

The model code, tool parser and reasoning parser can be found in the implementation of transformers, vLLM and SGLang.

Quick Start

Please refer our github page for more detail.

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

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