GLM-4.5

About

What GLM-4.5 is

GLM-4.5 👋 Join our <a href="https://discord.gg/QR7SARHRxK" target="blank"Discord</a community. 📖 Check out the GLM-4.5 <a href="https://z.ai/blog/glm-4.5" target="blank"technical blog</a, <a href="https://arxiv.org/abs/2508.06471" target="blank"technical report</a, and <a href="https://zhipu-ai.feishu.cn/wiki/Gv3swM0Yci7w7Zke9E0crhU7n7D" target="blank"Zhipu AI technical documentation</a. 📍 Use GLM-4.5 API services on <a href="https://docs.z.ai/guides/llm/glm-4.5"Z.ai API Platform (Global)</a or <br <a href="https://docs.bigmodel.cn/cn/guide/models/text/glm-4.5"Zhipu AI Open Platform (Mainland China)</a. 👉 One click to <a href="https://chat.z.ai"GLM-4.5</a. 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. Model Downloads You can directly experience the model on Hugging Face or ModelScope or download the model by following the li

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

How it works

How language models work

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys glm-4-5 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (glm-4-5 below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/chat/completions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"glm-4-5","messages":[{"role":"user","content":"Hello"}]}'

Details

Languages, data & research

Papers

Licence

Open weights

Sources

Weights & code

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