GLM-5: from Vibe Coding to Agentic Engineering
Authors: name: GLM-5 Team, name: Aohan Zeng, name: Xin Lv, name: Zhenyu Hou, name: Zhengxiao Du, name: Qinkai Zheng, name: Bin Chen, name: Da Yin, name: Chendi Ge, name: Chengxing Xie, name: Cunxiang Wang, name: Gengzheng Pan, name: Hao Zeng, name: Haoke Zhang, name: Haoran Wang, name: Huilong Chen, name: Jiajie Zhang, name: Jian Jiao, name: Jiaqi Guo, name: Jingsen Wang, name: Jingzhao Du, name: Jinzhu Wu, name: Kedong Wang, name: Lei Li, name: Lin Fan, name: Lucen Zhong, name: Mingdao Liu, name: Mingming Zhao, name: Pengfan Du, name: Qian Dong, name: Rui Lu, name: Shuang-Li, name: Shulin Cao, name: Song Liu, name: Ting Jiang, name: Xiaodong Chen, name: Xiaohan Zhang, name: Xuancheng Huang, name: Xuezhen Dong, name: Yabo Xu, name: Yao Wei, name: Yifan An, name: Yilin Niu, name: Yitong Zhu, name: Yuanhao Wen, name: Yukuo Cen, name: Yushi Bai, name: Zhongpei Qiao, name: Zihan Wang, name: Zikang Wang, name: Zilin Zhu, name: Ziqiang Liu, name: Zixuan Li, name: Bojie Wang, name: Bosi Wen, name: Can Huang, name: Changpeng Cai, name: Chao Yu, name: Chen Li, name: Chen Li, name: Chenghua Huang, name: Chengwei Hu, name: Chenhui Zhang, name: Chenzheng Zhu, name: Congfeng Yin, name: Daoyan Lin, name: Dayong Yang, name: Di Wang, name: Ding Ai, name: Erle Zhu, name: Fangzhou Yi, name: Feiyu Chen, name: Guohong Wen, name: Hailong Sun, name: Haisha Zhao, name: Haiyi Hu, name: Hanchen Zhang, name: Hanrui Liu, name: Hanyu Zhang, name: Hao Peng, name: Hao Tai, name: Haobo Zhang, name: He Liu, name: Hongwei Wang, name: Hongxi Yan, name: Hongyu Ge, name: Huan Liu, name: Huan Liu, name: Huanpeng Chu, name: Jia'ni Zhao, name: Jiachen Wang, name: Jiajing Zhao, name: Jiamin Ren, name: Jiapeng Wang, name: Jiaxin Zhang, name: Jiayi Gui, name: Jiayue Zhao, name: Jijie Li, name: Jing An, name: Jing Li, name: Jingwei Yuan, name: Jinhua Du, name: Jinxin Liu, name: Junkai Zhi, name: Junwen Duan, name: Kaiyue Zhou, name: Kangjian Wei, name: Ke Wang, name: Keyun Luo, name: Laiqiang Zhang, name: Leigang Sha, name: Liang Xu, name: Lindong Wu, name: Lintao Ding, name: Lu Chen, name: Minghao Li, name: Nianyi Lin, name: Pan Ta, name: Qiang Zou, name: Rongjun Song, name: Ruiqi Yang, name: Shangqing Tu, name: Shangtong Yang, name: Shaoxiang Wu, name: Shengyan Zhang, name: Shijie Li, name: Shuang Li, name: Shuyi Fan, name: Wei Qin, name: Wei Tian, name: Weining Zhang, name: Wenbo Yu, name: Wenjie Liang, name: Xiang Kuang, name: Xiangmeng Cheng, name: Xiangyang Li, name: Xiaoquan Yan, name: Xiaowei Hu, name: Xiaoying Ling, name: Xing Fan, name: Xingye Xia, name: Xinyuan Zhang, name: Xinze Zhang, name: Xirui Pan, name: Xunkai Zhang, name: Yandong Wu, name: Yanfu Li, name: Yidong Wang, name: Yifan Zhu, name: Yijun Tan, name: Yilin Zhou, name: Yiming Pan, name: Ying Zhang, name: Yinpei Su, name: Yipeng Geng, name: Yipeng Geng, name: Yong Yan, name: Yonglin Tan, name: Yuean Bi, name: Yuhan Shen, name: Yuhao Yang, name: Yujiang Li, name: Yunan Liu, name: Yunqing Wang, name: Yuntao Li, name: Yurong Wu, name: Yutao Zhang, name: Yuxi Duan, name: Yuxuan Zhang, name: Zezhen Liu, name: Zhengtao Jiang, name: Zhenhe Yan, name: Zheyu Zhang, name: Zhixiang Wei, name: Zhuo Chen, name: Zhuoer Feng, name: Zijun Yao, name: Ziwei Chai, name: Ziyuan Wang, name: Zuzhou Zhang, name: Bin Xu, name: Minlie Huang, name: Hongning Wang, name: Juanzi Li, name: Yuxiao Dong, name: Jie Tang
Organization: Z.ai

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.