GLM-5 is an advanced artificial intelligence model specifically designed for complex systems engineering and long-horizon agentic tasks. With 744 billion parameters (40 billion active), it represents a significant scaling improvement over previous versions, increasing from 355 billion parameters in GLM-4.5 while expanding pre-training data from 23 trillion to 28.5 trillion tokens. The model integrates DeepSeek Sparse Attention technology, which significantly reduces deployment costs while preserving long-context capacity.

The model features enhanced reasoning capabilities, superior coding performance, and advanced agentic task handling. It achieves best-in-class performance among all open-source models worldwide on reasoning, coding, and agentic tasks, narrowing the gap with frontier models. GLM-5 demonstrates strong long-term planning and resource management capabilities, as evidenced by its #1 ranking among open-source models on Vending Bench 2, where it managed a simulated vending machine business over a one-year horizon.

GLM-5 utilizes a novel asynchronous RL infrastructure called "slime" that substantially improves training throughput and efficiency, enabling more fine-grained post-training iterations. This infrastructure addresses the challenge of RL training inefficiency when deploying at scale for large language models. The combination of advanced pre-training techniques and efficient post-training infrastructure allows GLM-5 to deliver significant improvements across academic benchmarks.

The model enables users to turn text or source materials directly into .docx, .pdf, and .xlsx files—including PRDs, lesson plans, exams, spreadsheets, financial reports, run sheets, menus, and more—delivered end-to-end as ready-to-use documents. It supports multi-turn collaboration and can transform outputs into real deliverables through its Agent mode with built-in skills for PDF, Word, and Excel creation.

GLM-5 targets developers, researchers, and organizations working with complex AI systems and agentic applications. It integrates with various coding agents including Claude Code, OpenCode, Kilo Code, Roo Code, Cline, and Droid. The model is available through multiple deployment options including local hosting via HuggingFace and ModelScope, cloud API access through api.z.ai and BigModel.cn, and web interface through Z.ai chat platform.