GLM-4.7 is a foundation model engineered specifically for intelligent agents and complex, real-world development environments. Built with a total of 355 billion parameters and 32 billion active parameters, the architecture is designed to unify reasoning, coding, and agentic execution. It excels in multilingual coding tasks and terminal-based operations, providing significant performance gains over its predecessor. Beyond core programming, the model features specialized capabilities for UI design, often referred to as vibe coding, which allows it to generate cleaner, more modern webpages and accurately formatted slides.
The model lineage emphasizes stability and consistency, making it a reliable partner for long, multi-step tasks and frequent tool interaction. It supports a thinking-before-acting approach, which enhances its performance within mainstream agent frameworks like Claude Code and Cline. By delivering substantial improvements in mathematical reasoning and tool-use benchmarks such as τ²-Bench and BrowseComp, the model is well-suited for production-grade development workflows. Its design also ensures that these technical strengths translate into natural, engaging outputs for creative writing and conversational scenarios.