GLM-4.5V (Reasoning) is a multimodal vision-language model developed by Z AI (formerly Zhipu AI), designed to integrate advanced perception with high-level cognitive reasoning. Built upon the GLM-4.5-Air architecture, the model is characterized by its native "Thinking Mode," which allows it to engage in explicit chain-of-thought processing to solve complex visual and logical tasks.
Architecture and Scaling
The model utilizes a Mixture-of-Experts (MoE) architecture with a total of 106 billion parameters, of which 12 billion are active during any single inference pass. This design balances high-tier performance with computational efficiency. It incorporates specialized components including a visual encoder, an MLP adapter, and a language decoder, and is trained using scalable reinforcement learning techniques to enhance its reasoning depth.
Key Capabilities
GLM-4.5V is optimized for a wide range of multimodal applications, including:
- Advanced Visual Reasoning: Utilizing 3D-RoPE (3D Rotational Positional Encoding), the model demonstrates improved spatial awareness and 3D scene understanding.
- Temporal Analysis: It employs 3D convolutions to process and reason across long-form video content, accurately identifying events and logical sequences.
- Agentic Operations: The model is capable of acting as a GUI agent, performing precise icon recognition and screen-based navigation tasks with high accuracy.
- Document Intelligence: It supports the analysis of long, complex documents, including chart extraction and cross-page reasoning within its 64,000-token context window.
Dual Processing Modes
A central feature of GLM-4.5V is the user-selectable toggle between "Thinking" and "Non-Thinking" modes. In Thinking Mode, the model prioritizes accuracy and depth for complex problem-solving, whereas the Non-Thinking mode provides rapid responses for standard conversational or descriptive tasks.