GLM-4.7

China's Answer to Open-Source Intelligence

Released in late 2025 by Zhipu AI (Z.ai), GLM-4.7 has rapidly become a favorite in the global open-source community. Unlike many models that simply scale up parameters, GLM-4.7 focuses on architectural efficiency and specific domain mastery. In our independent testing, it positions itself as a formidable rival to proprietary giants, offering near-GPT-5 level performance in coding and logic tasks while remaining accessible via open weights. This strategic move allows developers to deploy high-intelligence agents locally or on private clouds, ensuring data privacy without sacrificing capability.

The "Vibe Coding" Revolution

One of the most praised features of GLM-4.7 is what the community calls "Vibe Coding." Beyond just writing syntactically correct code, the model demonstrates an understanding of modern aesthetic standards and best practices. When we tasked it with generating frontend components (React/Vue), GLM-4.7 didn't just produce functional code; it auto-applied modern styling (Tailwind CSS) and responsive layouts that looked professional out of the box. This "aesthetic intelligence" significantly reduces the time developers spend polishing UI, making it a top choice for rapid prototyping.

Advanced Reasoning with "Preserved Thinking"

GLM-4.7 introduces a sophisticated reasoning mechanism known as "Preserved Thinking." In complex, multi-turn conversations, the model retains its "thought process" blocks across interactions. This means it doesn't need to re-derive logic from scratch for every new prompt in a thread. In our agentic workflow tests—such as debugging a multi-file Python project—this feature allowed GLM-4.7 to maintain a coherent strategy over long sessions, avoiding the "amnesia" that plagues many other open models when context grows too large.

Dominating Agentic Workflows

Designed with autonomous agents in mind, GLM-4.7 excels at tool use and environment interaction. It achieves impressive scores on the SWE-bench (Software Engineering benchmarks), proving its ability to autonomously resolve GitHub issues. We observed that it handles API calls, file system operations, and terminal commands with a higher success rate than its predecessor, GLM-4. This stability makes it an ideal backend brain for open-source coding assistants like OpenCode, Roo Code, and Cursor.

Flash Speed for Local Deployment

Recognizing the need for speed, Zhipu AI also released GLM-4.7 Flash, a lightweight variant optimized for low-latency tasks. Despite its smaller footprint, the Flash version retains much of the core model's reasoning prowess. For developers running models on consumer-grade hardware (like MacBooks with M-series chips), GLM-4.7 Flash offers an incredible balance of speed and smarts, allowing for real-time code completion and "chat-with-your-codebase" features without incurring API costs.