Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
Authors: name: Ang Li, name: Ben Liu, name: Bin Han, name: Bin Hu, name: Bin Jing, name: Binbin Hu, name: Bing Li, name: Cai Chen, name: Caizhi Tang, name: Changxin Tian, name: Chao Huang, name: Chao Zhang, name: Chen Liang, name: Chen Qian, name: Chengfu Tang, name: Chengyao Wen, name: Chilin Fu, name: Chunwei Wu, name: Cong Zhang, name: Cunyin Peng, name: Daixin Wang, name: Dalong Zhang, name: Deng Zhao, name: Dingnan Jin, name: Dingyuan Zhu, name: Donghao Zhang, name: Fan Yuan, name: Fangzheng Zhao, name: Fanzhuang Meng, name: Feifan Wu, name: Feng Xu, name: Fengbin Fang, name: Gangshan Wang, name: Guodong Yang, name: Hailin Zhao, name: Haitao Wang, name: Haitao Zhang, name: Hanxiao Zhang, name: Hanzi Wang, name: Hao Dai, name: Hao Liu, name: Hao Qian, name: Hao Wu, name: Haoxiong Liu, name: Haoyu Xu, name: Heng Zhang, name: Hong Liu, name: Hongliang Zhang, name: Hongrui Liu, name: Hongxun Li, name: Hongzhi Ruan, name: Huaidong Xiong, name: Huihuang Zheng, name: Huikang Tang, name: Jia Guo, name: Jia Li, name: Jia Liu, name: Jiameng Wang, name: Jiaming Liu, name: Jiannan Shi, name: Jianping Wei, name: Jiaolong Yang, name: Jiapeng Wang, name: Jie Gao, name: Jie Wang, name: Jiewei Wu, name: Jin Yang, name: Jinjin Li, name: Jinjing Huang, name: Jinquan Sun, name: Jinyao Chen, name: Juanhui Tu, name: Jun Liu, name: Jun Mei, name: Jun Xu, name: Jun Zhou, name: Junjie Ou, name: Junnan Sipan, name: Junpeng Fang, name: Kaihong Zhang, name: Kaiqin Hu, name: Ke Shi, name: Kuan Xu, name: Kun Tang, name: Kunlong Chen, name: Lanyin Mei, name: Lei Chen, name: Lei Liang, name: Lei Xu, name: Li Tang, name: Liang Jiang, name: Liangcheng Fu, name: Lihui Zhang, name: Linfeng Shi, name: Lintao Ma, name: Liyuan Liu, name: Longfei Li, name: Longfei Zheng, name: Lu Liu, name: Lu Yu, name: Man Li, name: Meiqi Zhu, name: Meng Li, name: Mengjie Gao, name: Mengshu Sun, name: Mingming Yin, name: Mingyang Zhang, name: Mingyuan Fan, name: Nuo Xu, name: Pan Tang, name: Peijie Jiang, name: Peilong Zhao, name: Peng Lin, name: Pingping Liu, name: Qi Zuo, name: Qian Zhao, name: Qiang Cheng, name: Qianggang Cao, name: Qiaoben Bao, name: Qing Cui, name: Qingyuan Yang, name: Qitao Shi, name: Qiyin Huang, name: Qizheng Zhou, name: Quan Wan, name: Runyuan Zhao, name: Shaomian Zheng, name: Shaowei Wei, name: Shengnan Zhang, name: Shuaicheng Li, name: Shujie Li, name: Shuo Zhang, name: Sikang Bian, name: Tianchu Yao, name: Tiange Xu, name: Tianshu Wang, name: Ting Guo, name: Tinghao Wang, name: Tingwei Huang, name: Tong Zhao, name: Tongkai Yang, name: Wang Hong, name: Wanli Gu, name: Wei Lu, name: Weichang Wu, name: Weiguang Han, name: Weiquan Li, name: Wenbo Shen, name: Wenjing Fang, name: Wenzhi Tang, name: Xiang Shu, name: Xiao Shi, name: Xiaodong Yan, name: Xiaolu Zhang, name: Xiaopei Wan, name: Xiaqing Sun, name: Xin Zhao, name: Xingyu Lu, name: Xinxing Yang, name: Xinyao Tang, name: Xinyu Kong, name: Xinyu Liu, name: Xiong Xu, name: Xuan Sun, name: Xudong Han, name: Xudong Wang, name: Xujie Shen, name: Yalin Zhang, name: Yangyang Hou, name: Yankun Ren, name: Yao Zhao, name: Ye Chen, name: Yeyang Chen, name: Yibo Cao, name: Yifan Zuo, name: Yijie Chen, name: Ying Li, name: Yingjie Song, name: Yingxue Li, name: Yiqi Wang, name: Yixuan Sun, name: Yizhu Xiao, name: Yongfei Xu, name: Yu Liu, name: Yuchen Fang, name: Yue Gao, name: Yue Yu, name: Yue Zhang, name: Yuqi Zhang, name: Yuxiao He, name: Yuxiao Lu, name: Yuxin Tian, name: Yuxuan Li, name: Yuzhuo Fu, name: Zhankai Xu, name: Zhaoxin Huan, name: Zhenduo Zhang, name: Zhengke Gui, name: Zhengyu Huang, name: Zhenjun Ma, name: Zhenxuan Pan, name: Zheping Qu, name: Zhibo Zhu, name: Zhidong Fan, name: Zhigang Huangfu, name: Zhihao Wang, name: Zhiqiang Zhang, name: Zhizhen Liu, name: Zhuyan Zhou, name: Zibin Lin, name: Zihang Zeng, name: Zihao Wang, name: Zilong Wang, name: Ziqi Liu, name: Zitao Xuan, name: Zixuan Cheng, name: Zujie Wen, name: Zuoli Tang
Organization: inclusionAI

Efficient and scalable agentic intelligence requires models that can deliver both low-latency responses and strong reasoning capabilities while remaining practical to train, serve, and deploy. In this report, we present Ling-2.6 and Ring-2.6, a family of models designed to address this challenge at scale. Ling-2.6 is optimized for instant response generation and high capability per output token, whereas Ring-2.6 is tailored for deeper reasoning and more advanced agentic workflows. Instead of training from scratch, we upgrade the Ling-2.0 base model through architectural migration pre-training and large-scale post-training. This upgrade is guided by a unified co-design of model architecture, optimization objectives, serving systems, and agent training environments, enabling improvements in both model capability and deployment efficiency. At the architectural level, we introduce a hybrid linear attention design that integrates Lightning Attention with MLA, improving the efficiency of long-context training and decoding. To further enhance token efficiency, we optimize capability per output token through Evolutionary Chain-of-Thought, Linguistic Unit Policy Optimization, bidirectional preference alignment, and shortest-correct-response distillation. For agentic capabilities, we propose KPop, a reinforcement learning framework designed to support stable training of Ring-2.6-1T on large-scale environment-grounded data. KPop improves training efficiency through asynchronous scheduling across coding, search, tool use, and workflow execution, enabling scalable learning from complex agent-environment interactions. Together, Ling-2.6 and Ring-2.6 provide a practical pathway toward efficient, scalable, and open agentic systems. We open-source all checkpoints in the 2.6 family to support further research and development in practical agentic intelligence.