GLM-5 is an open-source AI model designed for complex systems engineering and long-horizon agentic tasks, offering advanced coding and reasoning capabilities.
Source: README View on GitHub →GLM-5 is gaining attention due to its significant improvements in coding and agentic tasks, addressing the limitations of previous models by enhancing long-horizon effectiveness and reducing deployment costs. Its integration of DeepSeek Sparse Attention and asynchronous RL infrastructure stands out as unique technical choices.
Source: Synthesis of README and project traitsGLM-5.1 demonstrates strong coding capabilities, achieving state-of-the-art performance on SWE-Bench Pro and leading on NL2Repo and Terminal-Bench 2.0.
Source: READMEGLM-5 is built for long-horizon agentic tasks, sustaining optimization over hundreds of rounds and thousands of tool calls, with improved judgment and productivity over extended sessions.
Source: READMEGLM-5 integrates DeepSeek Sparse Attention, reducing deployment costs while preserving long-context capacity.
Source: READMEThe project utilizes an asynchronous RL infrastructure, [slime](https://github.com/THUDM/slime), to improve training throughput and efficiency.
Source: READMEThe architecture is inferred to be modular, with a focus on scalable AI models. Key technical decisions include the integration of DeepSeek Sparse Attention and asynchronous RL for efficient training and deployment.
Source: Code tree + dependency filesCenter: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.
transformerspre-commitaccelerateGLM-5 is suitable for complex systems engineering, long-horizon agentic tasks, and scenarios requiring advanced coding and reasoning capabilities. It can be used in real-world terminal tasks, repo generation, and long-term operational capabilities like simulated vending machine businesses.
Source: READMENo release records available.
Source: GitHub ReleasesGLM-5 is a promising project for teams or individuals involved in complex systems engineering and long-horizon AI tasks. Its advanced capabilities and unique technical choices make it a valuable resource for those seeking to push the boundaries of AI applications.