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Main Authors:	V Team, Hong, Wenyi, Gu, Xiaotao, Pan, Ziyang, Yang, Zhen, Wang, Yuting, Wang, Yue, Yue, Yuanchang, Wang, Yu, Wang, Yanling, Wang, Yan, Liu, Xijun, Yu, Wenmeng, Wang, Weihan, Li, Wei, Duan, Shuaiqi, Yang, Sheng, Lv, Ruiliang, Liu, Mingdao, Pan, Lihang, Ning, Ke, Ji, Junhui, Wang, Jinjiang, Chen, Jing, Xu, Jiazheng, Zhu, Jiale, Cheng, Jiale, Qi, Ji, Gan, Guobing, Wang, Guo, Yao, Cong, Dou, Zijun, Zhou, Zihao, Wang, Zihan, Ge, Zhiqi, Li, Zhijie, Hou, Zhenyu, Xue, Zhao, Wang, Zehui, Qi, Zehan, He, Zehai, Zhang, Yutao, Liu, Yusen, Cen, Yukuo, Li, Yuchen, Wang, Yuan, Yang, Yu, Liu, Yongbin, Lu, Yijian, Xu, Yifan, Wang, Yanzi, Zhao, Yanxiao, Wang, Yanfeng, Xue, Yadong, Xu, Yabo, Zhang, Xinyu, Liu, Xinyu, Liu, Xiao, Zhao, Wenyi, Li, Wenkai, Tong, Tianyu, Zhang, Tianshu, Zhang, Shudan, Yan, Shengdong, Zheng, Qinkai, Xu, Mingde, Bao, Licheng, long, lat Long, Xu, Jiaxing, Fan, Jiaxin, Qian, Jiawen, Chen, Jiali, Lin, Jiahui, Sun, Jiadai, Zheng, Haozhi, Wang, Haoran, Li, Haochen, Lai, Hanyu, Xu, Han, Yang, Fan, Zhang, Dan, Yin, Da, Zhao, Chuangxin, Wu, Chengcheng, Shi, Boyan, Lv, Bowen, Jia, Bowei, Li, Bo, Chen, Bin, Wang, Baoxu, Zhang, Peng, Liu, Debing, Xu, Bin, Li, Juanzi, Huang, Minlie, Dong, Yuxiao, Tang, Jie
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2604.26752
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_version_	1866917486299971584
author	V Team Hong, Wenyi Gu, Xiaotao Pan, Ziyang Yang, Zhen Wang, Yuting Wang, Yue Yue, Yuanchang Wang, Yu Wang, Yanling Wang, Yan Liu, Xijun Yu, Wenmeng Wang, Weihan Li, Wei Duan, Shuaiqi Yang, Sheng Lv, Ruiliang Liu, Mingdao Pan, Lihang Ning, Ke Ji, Junhui Wang, Jinjiang Chen, Jing Xu, Jiazheng Zhu, Jiale Cheng, Jiale Qi, Ji Gan, Guobing Wang, Guo Yao, Cong Dou, Zijun Zhou, Zihao Wang, Zihan Ge, Zhiqi Li, Zhijie Hou, Zhenyu Xue, Zhao Wang, Zehui Qi, Zehan He, Zehai Zhang, Yutao Liu, Yusen Cen, Yukuo Li, Yuchen Wang, Yuan Yang, Yu Liu, Yongbin Lu, Yijian Xu, Yifan Wang, Yanzi Zhao, Yanxiao Wang, Yanfeng Xue, Yadong Xu, Yabo Zhang, Xinyu Liu, Xinyu Liu, Xiao Zhao, Wenyi Li, Wenkai Tong, Tianyu Zhang, Tianshu Zhang, Shudan Yan, Shengdong Zheng, Qinkai Xu, Mingde Bao, Licheng long, lat Long Xu, Jiaxing Fan, Jiaxin Qian, Jiawen Chen, Jiali Lin, Jiahui Sun, Jiadai Zheng, Haozhi Wang, Haoran Li, Haochen Lai, Hanyu Xu, Han Yang, Fan Zhang, Dan Yin, Da Zhao, Chuangxin Wu, Chengcheng Shi, Boyan Lv, Bowen Jia, Bowei Li, Bo Chen, Bin Wang, Baoxu Zhang, Peng Liu, Debing Xu, Bin Li, Juanzi Huang, Minlie Dong, Yuxiao Tang, Jie
author_facet	V Team Hong, Wenyi Gu, Xiaotao Pan, Ziyang Yang, Zhen Wang, Yuting Wang, Yue Yue, Yuanchang Wang, Yu Wang, Yanling Wang, Yan Liu, Xijun Yu, Wenmeng Wang, Weihan Li, Wei Duan, Shuaiqi Yang, Sheng Lv, Ruiliang Liu, Mingdao Pan, Lihang Ning, Ke Ji, Junhui Wang, Jinjiang Chen, Jing Xu, Jiazheng Zhu, Jiale Cheng, Jiale Qi, Ji Gan, Guobing Wang, Guo Yao, Cong Dou, Zijun Zhou, Zihao Wang, Zihan Ge, Zhiqi Li, Zhijie Hou, Zhenyu Xue, Zhao Wang, Zehui Qi, Zehan He, Zehai Zhang, Yutao Liu, Yusen Cen, Yukuo Li, Yuchen Wang, Yuan Yang, Yu Liu, Yongbin Lu, Yijian Xu, Yifan Wang, Yanzi Zhao, Yanxiao Wang, Yanfeng Xue, Yadong Xu, Yabo Zhang, Xinyu Liu, Xinyu Liu, Xiao Zhao, Wenyi Li, Wenkai Tong, Tianyu Zhang, Tianshu Zhang, Shudan Yan, Shengdong Zheng, Qinkai Xu, Mingde Bao, Licheng long, lat Long Xu, Jiaxing Fan, Jiaxin Qian, Jiawen Chen, Jiali Lin, Jiahui Sun, Jiadai Zheng, Haozhi Wang, Haoran Li, Haochen Lai, Hanyu Xu, Han Yang, Fan Zhang, Dan Yin, Da Zhao, Chuangxin Wu, Chengcheng Shi, Boyan Lv, Bowen Jia, Bowei Li, Bo Chen, Bin Wang, Baoxu Zhang, Peng Liu, Debing Xu, Bin Li, Juanzi Huang, Minlie Dong, Yuxiao Tang, Jie
contents	We present GLM-5V-Turbo, a step toward native foundation models for multimodal agents. As foundation models are increasingly deployed in real environments, agentic capability depends not only on language reasoning, but also on the ability to perceive, interpret, and act over heterogeneous contexts such as images, videos, webpages, documents, GUIs. GLM-5V-Turbo is built around this objective: multimodal perception is integrated as a core component of reasoning, planning, tool use, and execution, rather than as an auxiliary interface to a language model. This report summarizes the main improvements behind GLM-5V-Turbo across model design, multimodal training, reinforcement learning, toolchain expansion, and integration with agent frameworks. These developments lead to strong performance in multimodal coding, visual tool use, and framework-based agentic tasks, while preserving competitive text-only coding capability. More importantly, our development process offers practical insights for building multimodal agents, highlighting the central role of multimodal perception, hierarchical optimization, and reliable end-to-end verification.
format	Preprint
id	arxiv_https___arxiv_org_abs_2604_26752
institution	arXiv
publishDate	2026
record_format	arxiv
spellingShingle	GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents V Team Hong, Wenyi Gu, Xiaotao Pan, Ziyang Yang, Zhen Wang, Yuting Wang, Yue Yue, Yuanchang Wang, Yu Wang, Yanling Wang, Yan Liu, Xijun Yu, Wenmeng Wang, Weihan Li, Wei Duan, Shuaiqi Yang, Sheng Lv, Ruiliang Liu, Mingdao Pan, Lihang Ning, Ke Ji, Junhui Wang, Jinjiang Chen, Jing Xu, Jiazheng Zhu, Jiale Cheng, Jiale Qi, Ji Gan, Guobing Wang, Guo Yao, Cong Dou, Zijun Zhou, Zihao Wang, Zihan Ge, Zhiqi Li, Zhijie Hou, Zhenyu Xue, Zhao Wang, Zehui Qi, Zehan He, Zehai Zhang, Yutao Liu, Yusen Cen, Yukuo Li, Yuchen Wang, Yuan Yang, Yu Liu, Yongbin Lu, Yijian Xu, Yifan Wang, Yanzi Zhao, Yanxiao Wang, Yanfeng Xue, Yadong Xu, Yabo Zhang, Xinyu Liu, Xinyu Liu, Xiao Zhao, Wenyi Li, Wenkai Tong, Tianyu Zhang, Tianshu Zhang, Shudan Yan, Shengdong Zheng, Qinkai Xu, Mingde Bao, Licheng long, lat Long Xu, Jiaxing Fan, Jiaxin Qian, Jiawen Chen, Jiali Lin, Jiahui Sun, Jiadai Zheng, Haozhi Wang, Haoran Li, Haochen Lai, Hanyu Xu, Han Yang, Fan Zhang, Dan Yin, Da Zhao, Chuangxin Wu, Chengcheng Shi, Boyan Lv, Bowen Jia, Bowei Li, Bo Chen, Bin Wang, Baoxu Zhang, Peng Liu, Debing Xu, Bin Li, Juanzi Huang, Minlie Dong, Yuxiao Tang, Jie Computer Vision and Pattern Recognition We present GLM-5V-Turbo, a step toward native foundation models for multimodal agents. As foundation models are increasingly deployed in real environments, agentic capability depends not only on language reasoning, but also on the ability to perceive, interpret, and act over heterogeneous contexts such as images, videos, webpages, documents, GUIs. GLM-5V-Turbo is built around this objective: multimodal perception is integrated as a core component of reasoning, planning, tool use, and execution, rather than as an auxiliary interface to a language model. This report summarizes the main improvements behind GLM-5V-Turbo across model design, multimodal training, reinforcement learning, toolchain expansion, and integration with agent frameworks. These developments lead to strong performance in multimodal coding, visual tool use, and framework-based agentic tasks, while preserving competitive text-only coding capability. More importantly, our development process offers practical insights for building multimodal agents, highlighting the central role of multimodal perception, hierarchical optimization, and reliable end-to-end verification.
title	GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents
topic	Computer Vision and Pattern Recognition
url	https://arxiv.org/abs/2604.26752

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