Z.AI Releases GLM-4.5 and GLM-4.5-Air AI Models for Agent Applications
By
vincirufus
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Summary
GLM-4.5 and GLM-4.5-Air are Z.AI's latest flagship AI models designed specifically for agent-oriented applications. Both utilize Mixture-of-Experts (MoE) architecture, with GLM-4.5 featuring 355B total parameters (32B active) and GLM-4.5-Air offering a streamlined 106B total parameters (12B active). The models were trained on 15 trillion tokens of general data followed by specialized fine-tuning for code, reasoning, and agent tasks. They support 128k token context length, hybrid reasoning modes (Thinking and Non-Thinking), and are optimized for tool invocation, web browsing, software engineering, and front-end development.
Key quotes
· 5 pulledGLM-4.5 and GLM-4.5-Air are our latest flagship models, purpose-built as foundational models for agent-oriented applications
Both leverage a Mixture-of-Experts (MoE) architecture
Both models share a similar training pipeline: an initial pretraining phase on 15 trillion tokens of general-domain data, followed by targeted fine-tuning
GLM-4.5 and GLM-4.5-Air are optimized for tool invocation, web browsing, software engineering, and front-end development
Both models support hybrid reasoning modes, offering two execution modes: Thinking Mode for complex reasoning and tool usage, and Non-Thinking Mode for instant responses
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