Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale

# Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
Source: [https://arxiv.org/abs/2606.15079](https://arxiv.org/abs/2606.15079)
Authors:[Ang Li](https://arxiv.org/search/cs?searchtype=author&query=Li,+A),[Ben Liu](https://arxiv.org/search/cs?searchtype=author&query=Liu,+B),[Bin Han](https://arxiv.org/search/cs?searchtype=author&query=Han,+B),[Bin Hu](https://arxiv.org/search/cs?searchtype=author&query=Hu,+B),[Bin Jing](https://arxiv.org/search/cs?searchtype=author&query=Jing,+B),[Binbin Hu](https://arxiv.org/search/cs?searchtype=author&query=Hu,+B),[Bing Li](https://arxiv.org/search/cs?searchtype=author&query=Li,+B),[Cai Chen](https://arxiv.org/search/cs?searchtype=author&query=Chen,+C),[Caizhi Tang](https://arxiv.org/search/cs?searchtype=author&query=Tang,+C),[Changxin Tian](https://arxiv.org/search/cs?searchtype=author&query=Tian,+C),[Chao Huang](https://arxiv.org/search/cs?searchtype=author&query=Huang,+C),[Chao Zhang](https://arxiv.org/search/cs?searchtype=author&query=Zhang,+C),[Chen Liang](https://arxiv.org/search/cs?searchtype=author&query=Liang,+C),[Chen Qian](https://arxiv.org/search/cs?searchtype=author&query=Qian,+C),[Chengfu Tang](https://arxiv.org/search/cs?searchtype=author&query=Tang,+C),[Chengyao Wen](https://arxiv.org/search/cs?searchtype=author&query=Wen,+C),[Chilin Fu](https://arxiv.org/search/cs?searchtype=author&query=Fu,+C),[Chunwei Wu](https://arxiv.org/search/cs?searchtype=author&query=Wu,+C),[Cong Zhang](https://arxiv.org/search/cs?searchtype=author&query=Zhang,+C),[Cunyin Peng](https://arxiv.org/search/cs?searchtype=author&query=Peng,+C),[Daixin Wang](https://arxiv.org/search/cs?searchtype=author&query=Wang,+D),[Dalong Zhang](https://arxiv.org/search/cs?searchtype=author&query=Zhang,+D),[Deng Zhao](https://arxiv.org/search/cs?searchtype=author&query=Zhao,+D),[Dingnan Jin](https://arxiv.org/search/cs?searchtype=author&query=Jin,+D),[Dingyuan Zhu](https://arxiv.org/search/cs?searchtype=author&query=Zhu,+D),[Donghao Zhang](https://arxiv.org/search/cs?searchtype=author&query=Zhang,+D),[Fan Yuan](https://arxiv.org/search/cs?searchtype=author&query=Yuan,+F),[Fangzheng Zhao](https://arxiv.org/search/cs?searchtype=author&query=Zhao,+F),[Fanzhuang Meng](https://arxiv.org/search/cs?searchtype=author&query=Meng,+F),[Feifan Wu](https://arxiv.org/search/cs?searchtype=author&query=Wu,+F),[Feng Xu](https://arxiv.org/search/cs?searchtype=author&query=Xu,+F),[Fengbin Fang](https://arxiv.org/search/cs?searchtype=author&query=Fang,+F),[Gangshan Wang](https://arxiv.org/search/cs?searchtype=author&query=Wang,+G),[Guodong Yang](https://arxiv.org/search/cs?searchtype=author&query=Yang,+G),[Hailin Zhao](https://arxiv.org/search/cs?searchtype=author&query=Zhao,+H),[Haitao Wang](https://arxiv.org/search/cs?searchtype=author&query=Wang,+H),[Haitao Zhang](https://arxiv.org/search/cs?searchtype=author&query=Zhang,+H),[Hanxiao Zhang](https://arxiv.org/search/cs?searchtype=author&query=Zhang,+H),[Hanzi Wang](https://arxiv.org/search/cs?searchtype=author&query=Wang,+H),[Hao Dai](https://arxiv.org/search/cs?searchtype=author&query=Dai,+H),[Hao Liu](https://arxiv.org/search/cs?searchtype=author&query=Liu,+H),[Hao Qian](https://arxiv.org/search/cs?searchtype=author&query=Qian,+H),[Hao Wu](https://arxiv.org/search/cs?searchtype=author&query=Wu,+H),[Haoxiong Liu](https://arxiv.org/search/cs?searchtype=author&query=Liu,+H),[Haoyu Xu](https://arxiv.org/search/cs?searchtype=author&query=Xu,+H),[Heng Zhang](https://arxiv.org/search/cs?searchtype=author&query=Zhang,+H),[Hong Liu](https://arxiv.org/search/cs?searchtype=author&query=Liu,+H),[Hongliang Zhang](https://arxiv.org/search/cs?searchtype=author&query=Zhang,+H),[Hongrui Liu](https://arxiv.org/search/cs?searchtype=author&query=Liu,+H),[Hongxun Li](https://arxiv.org/search/cs?searchtype=author&query=Li,+H),[Hongzhi Ruan](https://arxiv.org/search/cs?searchtype=author&query=Ruan,+H),[Huaidong Xiong](https://arxiv.org/search/cs?searchtype=author&query=Xiong,+H),[Huihuang Zheng](https://arxiv.org/search/cs?searchtype=author&query=Zheng,+H),[Huikang Tang](https://arxiv.org/search/cs?searchtype=author&query=Tang,+H),[Jia Guo](https://arxiv.org/search/cs?searchtype=author&query=Guo,+J),[Jia Li](https://arxiv.org/search/cs?searchtype=author&query=Li,+J),[Jia Liu](https://arxiv.org/search/cs?searchtype=author&query=Liu,+J),[Jiameng Wang](https://arxiv.org/search/cs?searchtype=author&query=Wang,+J),[Jiaming Liu](https://arxiv.org/search/cs?searchtype=author&query=Liu,+J),[Jiannan Shi](https://arxiv.org/search/cs?searchtype=author&query=Shi,+J),[Jianping Wei](https://arxiv.org/search/cs?searchtype=author&query=Wei,+J),[Jiaolong Yang](https://arxiv.org/search/cs?searchtype=author&query=Yang,+J),[Jiapeng Wang](https://arxiv.org/search/cs?searchtype=author&query=Wang,+J),[Jie Gao](https://arxiv.org/search/cs?searchtype=author&query=Gao,+J),[Jie Wang](https://arxiv.org/search/cs?searchtype=author&query=Wang,+J),[Jiewei Wu](https://arxiv.org/search/cs?searchtype=author&query=Wu,+J),[Jin Yang](https://arxiv.org/search/cs?searchtype=author&query=Yang,+J),[Jinjin Li](https://arxiv.org/search/cs?searchtype=author&query=Li,+J),[Jinjing Huang](https://arxiv.org/search/cs?searchtype=author&query=Huang,+J),[Jinquan Sun](https://arxiv.org/search/cs?searchtype=author&query=Sun,+J),[Jinyao Chen](https://arxiv.org/search/cs?searchtype=author&query=Chen,+J),[Juanhui Tu](https://arxiv.org/search/cs?searchtype=author&query=Tu,+J),[Jun Liu](https://arxiv.org/search/cs?searchtype=author&query=Liu,+J),[Jun Mei](https://arxiv.org/search/cs?searchtype=author&query=Mei,+J),[Jun Xu](https://arxiv.org/search/cs?searchtype=author&query=Xu,+J),[Jun Zhou](https://arxiv.org/search/cs?searchtype=author&query=Zhou,+J),[Junjie Ou](https://arxiv.org/search/cs?searchtype=author&query=Ou,+J),[Junnan Sipan](https://arxiv.org/search/cs?searchtype=author&query=Sipan,+J),[Junpeng Fang](https://arxiv.org/search/cs?searchtype=author&query=Fang,+J),[Kaihong Zhang](https://arxiv.org/search/cs?searchtype=author&query=Zhang,+K),[Kaiqin Hu](https://arxiv.org/search/cs?searchtype=author&query=Hu,+K),[Ke Shi](https://arxiv.org/search/cs?searchtype=author&query=Shi,+K),[Kuan Xu](https://arxiv.org/search/cs?searchtype=author&query=Xu,+K),[Kun Tang](https://arxiv.org/search/cs?searchtype=author&query=Tang,+K),[Kunlong Chen](https://arxiv.org/search/cs?searchtype=author&query=Chen,+K),[Lanyin Mei](https://arxiv.org/search/cs?searchtype=author&query=Mei,+L),[Lei Chen](https://arxiv.org/search/cs?searchtype=author&query=Chen,+L),[Lei Liang](https://arxiv.org/search/cs?searchtype=author&query=Liang,+L),[Lei Xu](https://arxiv.org/search/cs?searchtype=author&query=Xu,+L),[Li Tang](https://arxiv.org/search/cs?searchtype=author&query=Tang,+L),[Liang Jiang](https://arxiv.org/search/cs?searchtype=author&query=Jiang,+L),[Liangcheng Fu](https://arxiv.org/search/cs?searchtype=author&query=Fu,+L),[Lihui Zhang](https://arxiv.org/search/cs?searchtype=author&query=Zhang,+L),[Linfeng Shi](https://arxiv.org/search/cs?searchtype=author&query=Shi,+L),[Lintao Ma](https://arxiv.org/search/cs?searchtype=author&query=Ma,+L),[Liyuan Liu](https://arxiv.org/search/cs?searchtype=author&query=Liu,+L),[Longfei Li](https://arxiv.org/search/cs?searchtype=author&query=Li,+L),[Longfei Zheng](https://arxiv.org/search/cs?searchtype=author&query=Zheng,+L),[Lu Liu](https://arxiv.org/search/cs?searchtype=author&query=Liu,+L),[Lu Yu](https://arxiv.org/search/cs?searchtype=author&query=Yu,+L)

et al\. \(118 additional authors not shown\)

[View PDF](https://arxiv.org/pdf/2606.15079)

> Abstract: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\.

## Submission history

From: Yuxin Tian \[[view email](https://arxiv.org/show-email/bc333059/2606.15079)\] **\[v1\]**Sat, 13 Jun 2026 03:21:49 UTC \(4,866 KB\)