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📖 查看 GLM-5.3-Flash 博客 和 GLM-5 技术报告。
📍 在 Z.ai API 平台 上使用 GLM-5.3-Flash API 服务。
我们推出 GLM-5.3-Flash，这是 GLM-5 系列首个原生多模态模型。凭借 320B 总参数和仅 18B 激活参数，它以十分之一的价格在多项基准测试和真实业务场景中全面超越 GLM-5.2，并在编码与智能体基准测试上接近 Claude Opus 4.8。
GLM-5.3-Flash 从全新训练的基座模型出发，围绕能力与效率重新设计了模型架构和训练方案。GLM 系列首次引入融合稀疏注意力与线性注意力的混合架构，在保持精准长上下文能力的同时，大幅降低长上下文推理成本。模型还采用 Manifold-Constrained Hyper-Connections (mHC)，进一步提升规模化效率。结合我们最新的 30T-token 多模态预训练语料，这些改进使 GLM-5.3-Flash 能够以更少的计算投入释放更强的智能。
GLM-5.3-Flash 支持通过以下框架部署，欢迎大家试用：
reasoning_effort 参数控制思考预算，该参数支持三个等级：low、high 和 max。如果未传入（或设置为其他任意值），默认使用 max。若需使用 low 或 high，请显式传入。在基准测试和排行榜复现中，请保持默认的 max。clear_thinking，默认值为 false。在聊天场景中，请显式传入 clear_thinking=true。temperature=1.0 和 top_p=0.95 作为采样参数进行评估，最大生成长度为 163,840 tokens。评估在最大上下文长度 300,000 tokens 下进行，并采用上下文管理策略。我们使用 GPT-5.6-luna（medium）作为评判模型。temperature=0.95、top_p=1.0、timeout=6h，上下文长度为 400K。null 类型处理问题的修复。如果您在研究中发现 GLM-5.3-Flash 有所帮助，请引用我们的技术报告：
@misc{glm5team2026glm5vibecodingagentic,
title={GLM-5: from Vibe Coding to Agentic Engineering},
author={GLM-5-Team and : and Aohan Zeng and Xin Lv and Zhenyu Hou and Zhengxiao Du and Qinkai Zheng and Bin Chen and Da Yin and Chendi Ge and Chenghua Huang and Chengxing Xie and Chenzheng Zhu and Congfeng Yin and Cunxiang Wang and Gengzheng Pan and Hao Zeng and Haoke Zhang and Haoran Wang and Huilong Chen and Jiajie Zhang and Jian Jiao and Jiaqi Guo and Jingsen Wang and Jingzhao Du and Jinzhu Wu and Kedong Wang and Lei Li and Lin Fan and Lucen Zhong and Mingdao Liu and Mingming Zhao and Pengfan Du and Qian Dong and Rui Lu and Shuang-Li and Shulin Cao and Song Liu and Ting Jiang and Xiaodong Chen and Xiaohan Zhang and Xuancheng Huang and Xuezhen Dong and Yabo Xu and Yao Wei and Yifan An and Yilin Niu and Yitong Zhu and Yuanhao Wen and Yukuo Cen and Yushi Bai and Zhongpei Qiao and Zihan Wang and Zikang Wang and Zilin Zhu and Ziqiang Liu and Zixuan Li and Bojie Wang and Bosi Wen and Can Huang and Changpeng Cai and Chao Yu and Chen Li and Chengwei Hu and Chenhui Zhang and Dan Zhang and Daoyan Lin and Dayong Yang and Di Wang and Ding Ai and Erle Zhu and Fangzhou Yi and Feiyu Chen and Guohong Wen and Hailong Sun and Haisha Zhao and Haiyi Hu and Hanchen Zhang and Hanrui Liu and Hanyu Zhang and Hao Peng and Hao Tai and Haobo Zhang and He Liu and Hongwei Wang and Hongxi Yan and Hongyu Ge and Huan Liu and Huanpeng Chu and Jia'ni Zhao and Jiachen Wang and Jiajing Zhao and Jiamin Ren and Jiapeng Wang and Jiaxin Zhang and Jiayi Gui and Jiayue Zhao and Jijie Li and Jing An and Jing Li and Jingwei Yuan and Jinhua Du and Jinxin Liu and Junkai Zhi and Junwen Duan and Kaiyue Zhou and Kangjian Wei and Ke Wang and Keyun Luo and Laiqiang Zhang and Leigang Sha and Liang Xu and Lindong Wu and Lintao Ding and Lu Chen and Minghao Li and Nianyi Lin and Pan Ta and Qiang Zou and Rongjun Song and Ruiqi Yang and Shangqing Tu and Shangtong Yang and Shaoxiang Wu and Shengyan Zhang and Shijie Li and Shuang Li and Shuyi Fan and Wei Qin and Wei Tian and Weining Zhang and Wenbo Yu and Wenjie Liang and Xiang Kuang and Xiangmeng Cheng and Xiangyang Li and Xiaoquan Yan and Xiaowei Hu and Xiaoying Ling and Xing Fan and Xingye Xia and Xinyuan Zhang and Xinze Zhang and Xirui Pan and Xu Zou and Xunkai Zhang and Yadi Liu and Yandong Wu and Yanfu Li and Yidong Wang and Yifan Zhu and Yijun Tan and Yilin Zhou and Yiming Pan and Ying Zhang and Yinpei Su and Yipeng Geng and Yong Yan and Yonglin Tan and Yuean Bi and Yuhan Shen and Yuhao Yang and Yujiang Li and Yunan Liu and Yunqing Wang and Yuntao Li and Yurong Wu and Yutao Zhang and Yuxi Duan and Yuxuan Zhang and Zezhen Liu and Zhengtao Jiang and Zhenhe Yan and Zheyu Zhang and Zhixiang Wei and Zhuo Chen and Zhuoer Feng and Zijun Yao and Ziwei Chai and Ziyuan Wang and Zuzhou Zhang and Bin Xu and Minlie Huang and Hongning Wang and Juanzi Li and Yuxiao Dong and Jie Tang},
year={2026},
eprint={2602.15763},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2602.15763},
}