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arXiv · 2602.15763

GLM-5: from Vibe Coding to Agentic Engineering

GLM-5-Team·:·Aohan Zeng·Xin Lv·Zhenyu Hou·Zhengxiao Du·Qinkai Zheng·Bin Chen·Da Yin·Chendi Ge·Chenghua Huang·Chengxing Xie·Chenzheng Zhu·Congfeng Yin·Cunxiang Wang·Gengzheng Pan·Hao Zeng·Haoke Zhang·Haoran Wang·Huilong Chen·Jiajie Zhang·Jian Jiao·Jiaqi Guo·Jingsen Wang·Jingzhao Du·Jinzhu Wu·Kedong Wang·Lei Li·Lin Fan·Lucen Zhong·Mingdao Liu·Mingming Zhao·Pengfan Du·Qian Dong·Rui Lu·Shuang-Li·Shulin Cao·Song Liu·Ting Jiang·Xiaodong Chen·Xiaohan Zhang·Xuancheng Huang·Xuezhen Dong·Yabo Xu·Yao Wei·Yifan An·Yilin Niu·Yitong Zhu·Yuanhao Wen·Yukuo Cen·Yushi Bai·Zhongpei Qiao·Zihan Wang·Zikang Wang·Zilin Zhu·Ziqiang Liu·Zixuan Li·Bojie Wang·Bosi Wen·Can Huang·Changpeng Cai·Chao Yu·Chen Li·Chengwei Hu·Chenhui Zhang·Dan Zhang·Daoyan Lin·Dayong Yang·Di Wang·Ding Ai·Erle Zhu·Fangzhou Yi·Feiyu Chen·Guohong Wen·Hailong Sun·Haisha Zhao·Haiyi Hu·Hanchen Zhang·Hanrui Liu·Hanyu Zhang·Hao Peng·Hao Tai·Haobo Zhang·He Liu·Hongwei Wang·Hongxi Yan·Hongyu Ge·Huan Liu·Huanpeng Chu·Jia'ni Zhao·Jiachen Wang·Jiajing Zhao·Jiamin Ren·Jiapeng Wang·Jiaxin Zhang·Jiayi Gui·Jiayue Zhao·Jijie Li·Jing An·Jing Li
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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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GLM-5-Team, :, Aohan Zeng, Xin Lv, Zhenyu Hou, Zhengxiao Du, Qinkai Zheng, Bin Chen, Da Yin, Chendi Ge, Chenghua Huang, Chengxing Xie, Chenzheng Zhu, Congfeng Yin, Cunxiang Wang, Gengzheng Pan, Hao Zeng, Haoke Zhang, Haoran Wang, Huilong Chen, Jiajie Zhang, Jian Jiao, Jiaqi Guo, Jingsen Wang, Jingzhao Du, Jinzhu Wu, Kedong Wang, Lei Li, Lin Fan, Lucen Zhong, Mingdao Liu, Mingming Zhao, Pengfan Du, Qian Dong, Rui Lu, Shuang-Li, Shulin Cao, Song Liu, Ting Jiang, Xiaodong Chen, Xiaohan Zhang, Xuancheng Huang, Xuezhen Dong, Yabo Xu, Yao Wei, Yifan An, Yilin Niu, Yitong Zhu, Yuanhao Wen, Yukuo Cen, Yushi Bai, Zhongpei Qiao, Zihan Wang, Zikang Wang, Zilin Zhu, Ziqiang Liu, Zixuan Li, Bojie Wang, Bosi Wen, Can Huang, Changpeng Cai, Chao Yu, Chen Li, Chengwei Hu, Chenhui Zhang, Dan Zhang, Daoyan Lin, Dayong Yang, Di Wang, Ding Ai, Erle Zhu, Fangzhou Yi, Feiyu Chen, Guohong Wen, Hailong Sun, Haisha Zhao, Haiyi Hu, Hanchen Zhang, Hanrui Liu, Hanyu Zhang, Hao Peng, Hao Tai, Haobo Zhang, He Liu, Hongwei Wang, Hongxi Yan, Hongyu Ge, Huan Liu, Huanpeng Chu, Jia'ni Zhao, Jiachen Wang, Jiajing Zhao, Jiamin Ren, Jiapeng Wang, Jiaxin Zhang, Jiayi Gui, Jiayue Zhao, Jijie Li, Jing An, Jing Li. 2026-02-17. GLM-5: from Vibe Coding to Agentic Engineering. https://arxiv.org/abs/2602.15763

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