glm-4.5

GLM-4.5 represents a significant shift toward agentic workflows, moving beyond simple chat completion to focus on complex, multi-step reasoning. Built on a Mixture-of-Experts (MoE) architecture, the model optimizes computational efficiency while maintaining high performance across diverse reasoning tasks. For developers, the standout feature is its native optimization for agent-based applications, making it a strong candidate for autonomous tool-use, complex planning, and long-context retrieval. With a 128k token context window, it handles large-scale documentation and codebase analysis effectively. Compared to previous iterations, GLM-4.5 offers improved instruction following and more reliable structured output, which is critical when integrating LLMs into automated pipelines. Whether you are building sophisticated RAG systems or autonomous software agents, this model provides the stability and reasoning depth required for production-grade deployment via API.