Zhipu AI, now rebranded as “Z.ai” with its latest milestone — the launch of GLM 4.5.
Showed at World AI Conference in Shanghai on 29 July 2025, GLM-4.5 is Zhipu’s most advanced model to date, designed for agent-native intelligence, multi-modal reasoning, and cost-effective deployment. It also introduces a lightweight version, GLM-4.5 Air, built for high performance on low-power setups.
But what makes this launch truly disruptive is its open-source licensing and dual-mode reasoning. While challenging not just Chinese competitors like DeepSeek, but even GPT‑4o and Claude 3 on the global stage.
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GLM-4.5 is the latest large language model developed by Zhipu AI, a leading Chinese AI company with backing from institutions like Tsinghua University. While earlier GLM models gained attention for their bilingual (English–Chinese) proficiency, GLM-4.5 breaks new ground with:
This model family is designed to power intelligent agents, autonomous decision-making systems, and high-speed inference tasks across diverse environments—from cloud to edge devices.
| Basis | Basis | Description |
|---|---|---|
| Total Parameters | ~355B | ~106B |
| Active Parameters | ~32B | ~12B |
| Reasoning Modes | Thinking / Non-thinking | Thinking / Non-thinking |
| Deployment Target | Enterprise-grade setups | Consumer GPUs / edge devices |
| Speed | ~200 tokens/sec (non-thinking) | ~200 tokens/sec (non-thinking) |
| Cost Efficiency | Lower than GPT-4o & DeepSeek | Extremely low |
| License | MIT / Apache 2.0 | MIT / Apache 2.0 |
GLM-4.5 Air was specifically designed to make AI more accessible. It can run efficiently on just eight NVIDIA H20 GPUs, slashing infrastructure requirements in half compared to rivals like DeepSeek V2.
Thinking Mode with high-complexity reasoning, coding, agentic workflows. Non-Thinking Mode with ultra-fast response generation with minimal resource use (~200 tokens/sec).
It is tested that GLM 4.5 goes beyond conversation limit and support function calling, tool usage, multi-step task planning, and reasoning pipelines.
Both versions are released under MIT and Apache 2.0 licenses, boasting it sourceability for general use while being transparent, modifiable, and free to use commercially.

Studying the benchmark comparison chart, it showing how different large language models are perform in the areas of agentic, coding, and reasoning tasks. It highlights Zhipu AI’s new models — GLM-4.5 and GLM-4.5 Air and how they stack up against competitors like GPT-4, Claude 4, Grok, and DeepSeek.
Overall, the model GLM-4.5 ranks 3rd overall, and GLM-4.5 Air ranks 6th, showing impressive performance.
| Basis | Input Tokens ($/million) | Output Tokens ($/million) |
|---|---|---|
| GPT‑4o | ~$5–10 | ~$15–20 |
| Claude 3 | ~$25 | ~$75 |
| DeepSeek | ~$0.14 | ~$0.30 |
| GLM-4.5 | ~$0.11 | ~$0.18 |
With such low-budget pricing, it opens serious possibilities for startups, educators, and IT companies to deploy models at scale without burning cloud credits.
Access GLM 4.5 model via Hugging Face platform. At GitHub, you can access source code, training methods, and tools. At official website (z.ai) developers explore model API, agent SDKs, and Sandbox environment.
Real-world applications developers can build using GLM‑4.5 and GLM‑4.5 Air are as followed.
Also Read: How I Download & Use GLM 4.5 Locally?
Healthcare industries can take major benefit for GLM 4.5 for instance AI-powered symptom checker, health advise, and summarization. In Education, AI tutors for math, science, and language learning. In finance, it may act as finance advisor via fine-tune datasets.
Yes, Zhipu AI’s GLM 4.5 have a developer and open-source community to share learning and updates. Additional resources such as code examples, fine-tuning scripts, model weight, and instructions for local deployment can be found at official platform.
The crown of best open source model was previously at Kimi K2, then Qwen3, and now it goes to GLM 4.5 with super contrary achievement. For developers, researchers, and enterprises watching the AI cost curve, GLM-4.5 offers power at a fraction of the price.
The real questions is how would your organization use GLM 4.5 LLM? Share your thoughts in the comment. Thanks for reading 🙂
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