GLM-4.5V is a next-generation visual reasoning model built on a Mixture-of-Experts (MoE) architecture. With a total of 106 billion parameters and 12 billion active parameters, it is designed to move beyond basic perception to achieve high-level multimodal intelligence. The model is engineered to excel in complex problem-solving scenarios, such as extracting deep insights from long-form video content, analyzing intricate documents, and navigating diverse digital interfaces. By combining robust visual understanding with advanced reasoning, it serves as a versatile foundation for building autonomous agents capable of executing multi-step tasks across web and desktop environments.

The model draws its lineage from the GLM-V family and incorporates technical approaches established in the GLM-4.1V-Thinking series, specifically leveraging scalable reinforcement learning to enhance its reasoning capabilities. Built upon the GLM-4.5-Air foundation, it is optimized for accuracy and comprehensiveness in real-world applications. Its design supports both thinking and non-thinking modes, allowing users to balance depth of analysis with operational speed. As a state-of-the-art open-source vision-language model, it provides developers with a powerful tool for creating innovative solutions that require precise visual interpretation and reliable, agent-driven action.