技术规格

GLM-4.7

GLM-4.7 is a large-scale Mixture of Experts (MoE) model developed by Z.ai, specifically architected to support advanced agentic coding, complex reasoning, and multi-step tool orchestration. Building upon the GLM-4 series, the model integrates a sophisticated reasoning system that prioritizes logical consistency and task completion across extended interactions. It is designed to function as a primary engine for coding agents and terminal-based automation, featuring optimizations for multi-language programming and autonomous execution within complex software environments.

The model's technical foundation includes a triple-tier thinking architecture designed to maintain reasoning coherence. Interleaved Thinking allows the model to perform internal reasoning steps before every response and tool invocation, ensuring that generated instructions align with logical constraints. Preserved Thinking facilitates the retention of these reasoning blocks across multi-turn conversations, preventing the context decay typically seen in long-horizon tasks. Additionally, Turn-level Thinking provides a granular control mechanism, allowing developers to adjust reasoning depth based on the specific requirements of each interaction to manage computational overhead and latency effectively.

Beyond programming, GLM-4.7 features a refined approach to frontend and user interface development, often referred to as vibe coding. This capability focuses on generating aesthetically consistent and structurally sound UI code, including modern web pages and professional presentation layouts. The model's architecture also emphasizes robust tool integration, enabling it to navigate terminal environments, execute shell commands, and interact with external APIs while maintaining a high degree of stability and instruction adherence in diverse automation scenarios.