GLM-5: from Vibe Coding to Agentic Engineering

• URL: http://arxiv.org/abs/2602.15763v2
• Date: Tue, 24 Feb 2026 10:44:44 GMT
• Title: GLM-5: from Vibe Coding to Agentic Engineering
• Abstract summary: We present GLM-5, a next-generation foundation model designed to transition the paradigm of vibe coding to agentic engineering.<n>Building upon the agentic, reasoning, and coding (ARC) capabilities of its predecessor, GLM-5 adopts DSA to significantly reduce training and inference costs while maintaining long-context fidelity.
• Score: 222.46864802629477
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We present GLM-5, a next-generation foundation model designed to transition the paradigm of vibe coding to agentic engineering. Building upon the agentic, reasoning, and coding (ARC) capabilities of its predecessor, GLM-5 adopts DSA to significantly reduce training and inference costs while maintaining long-context fidelity. To advance model alignment and autonomy, we implement a new asynchronous reinforcement learning infrastructure that drastically improves post-training efficiency by decoupling generation from training. Furthermore, we propose novel asynchronous agent RL algorithms that further improve RL quality, enabling the model to learn from complex, long-horizon interactions more effectively. Through these innovations, GLM-5 achieves state-of-the-art performance on major open benchmarks. Most critically, GLM-5 demonstrates unprecedented capability in real-world coding tasks, surpassing previous baselines in handling end-to-end software engineering challenges. Code, models, and more information are available at https://github.com/zai-org/GLM-5.

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