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| Format: | Preprint |
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2026
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| Online Access: | https://arxiv.org/abs/2603.25040 |
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| author | Zou, Yicheng Zhu, Dongsheng Zhu, Lin Zhu, Tong Zhou, Yunhua Zhou, Peiheng Zhou, Xinyu Zhou, Dongzhan Zhou, Zhiwang Zhou, Yuhao Zhou, Bowen Zhong, Zhanping Zhong, Zhijie Zhao, Haiteng Zhao, Penghao Zhao, Xiaomeng Zhao, Zhiyuan Zhang, Yechen Zhang, Jin Zhang, Wenwei Zhang, Hongjie Zhang, Zhuo Zhang, Wenlong Zhang, Bo Zhang, Chao Zhang, Chen Zang, Yuhang Yuan, Fei Yuan, Jiakang Yu, Jiashuo Yin, Jinhui Ye, Haochen Yao, Qian Yang, Bowen Yang, Danni Yang, Kaichen Yan, Ziang Xu, Jun Xu, Yicheng Xu, Wanghan Xu, Xuenan Xu, Chao Xu, Ruiliang Xing, Shuhao Xing, Long Xie, Xinchen Wu, Ling-I Wu, Zijian Wu, Zhenyu Wu, Lijun Wu, Yue Wu, Jianyu Wu, Wen Wu, Fan Wei, Xilin Wei, Qi Wang, Bingli Wang, Rui Wang, Ziyi Wang, Zun Wang, Yi Wang, Haomin Wang, Yizhou Wang, Lintao Wang, Yiheng Wang, Longjiang Wang, Bin Tong, Jian Tian, Zhongbo Tang, Huanze Tang, Chen Tang, Shixiang Sun, Yu Sun, Qiushi Su, Xuerui Su, Qisheng Su, Chenlin Song, Demin Shi, Jin Shang, Fukai Ren, Yuchen Ren, Pengli Qu, Xiaoye Qu, Yuan Qiu, Jiantao Qiao, Yu Qi, Biqing Peng, Runyu Peng, Tianshuo Peng, Jiahui Pei, Qizhi Pan, Zhuoshi Ouyang, Linke Ning, Wenchang Ma, Yichuan Ma, Zerun Ma, Ningsheng Ma, Runyuan Lyu, Chengqi Lv, Haijun Lv, Han Lu, Lindong Liu, Kuikun Liu, Jiangning Liu, Yuhong Liu, Kai Liu, Hongwei Liu, Zhoumianze Liu, Mengjie Liu, Ziyu Liu, Wenran Liu, Yang Liu, Liwei Liu, Kaiwen Lin, Junyao Lin, Junming Lin, Tianyang Lin, Dahua Liang, Jianze Li, Linyang Li, Peiji Li, Zonglin Li, Zehao Li, Pengze Li, Guoyan Kong, Lingkai Jing, Linglin Jin, Zhenjiang Jiang, Feifei Jiang, Qian Huang, Junhao Huang, Zixian Huang, Haian Hua, Zhouqi Hua, Ermo Hu, Han Hou, Linfeng He, Yinan He, Conghui He, Tianyao Guo, Xu Guo, Qipeng Guo, Aijia Gu, Yuzhe Gu, Lixin Gong, Jingyang Ge, Qiming Ge, Jiaye Gao, Songyang Gao, Jianfei Fang, Xinyu fan, Caihua Fan, Yue Duan, Yanhui Ding, Zichen Ding, Shengyuan Ding, Ning Dai, Xuanlang Cui, Erfei Cui, Ganqu Chu, Pei Chu, Tao Cheng, Guangran Cheng, Yu Chen, Kai Chen, Yongkang Chen, Chiyu Chen, Guanzhou Chen, Qiaosheng Chen, Sitao Chen, Xin Chen, Haojiong Chen, Yicheng Cao, Weihan Cao, Yuhang Cao, Qinglong Bai, Lei |
| author_facet | Zou, Yicheng Zhu, Dongsheng Zhu, Lin Zhu, Tong Zhou, Yunhua Zhou, Peiheng Zhou, Xinyu Zhou, Dongzhan Zhou, Zhiwang Zhou, Yuhao Zhou, Bowen Zhong, Zhanping Zhong, Zhijie Zhao, Haiteng Zhao, Penghao Zhao, Xiaomeng Zhao, Zhiyuan Zhang, Yechen Zhang, Jin Zhang, Wenwei Zhang, Hongjie Zhang, Zhuo Zhang, Wenlong Zhang, Bo Zhang, Chao Zhang, Chen Zang, Yuhang Yuan, Fei Yuan, Jiakang Yu, Jiashuo Yin, Jinhui Ye, Haochen Yao, Qian Yang, Bowen Yang, Danni Yang, Kaichen Yan, Ziang Xu, Jun Xu, Yicheng Xu, Wanghan Xu, Xuenan Xu, Chao Xu, Ruiliang Xing, Shuhao Xing, Long Xie, Xinchen Wu, Ling-I Wu, Zijian Wu, Zhenyu Wu, Lijun Wu, Yue Wu, Jianyu Wu, Wen Wu, Fan Wei, Xilin Wei, Qi Wang, Bingli Wang, Rui Wang, Ziyi Wang, Zun Wang, Yi Wang, Haomin Wang, Yizhou Wang, Lintao Wang, Yiheng Wang, Longjiang Wang, Bin Tong, Jian Tian, Zhongbo Tang, Huanze Tang, Chen Tang, Shixiang Sun, Yu Sun, Qiushi Su, Xuerui Su, Qisheng Su, Chenlin Song, Demin Shi, Jin Shang, Fukai Ren, Yuchen Ren, Pengli Qu, Xiaoye Qu, Yuan Qiu, Jiantao Qiao, Yu Qi, Biqing Peng, Runyu Peng, Tianshuo Peng, Jiahui Pei, Qizhi Pan, Zhuoshi Ouyang, Linke Ning, Wenchang Ma, Yichuan Ma, Zerun Ma, Ningsheng Ma, Runyuan Lyu, Chengqi Lv, Haijun Lv, Han Lu, Lindong Liu, Kuikun Liu, Jiangning Liu, Yuhong Liu, Kai Liu, Hongwei Liu, Zhoumianze Liu, Mengjie Liu, Ziyu Liu, Wenran Liu, Yang Liu, Liwei Liu, Kaiwen Lin, Junyao Lin, Junming Lin, Tianyang Lin, Dahua Liang, Jianze Li, Linyang Li, Peiji Li, Zonglin Li, Zehao Li, Pengze Li, Guoyan Kong, Lingkai Jing, Linglin Jin, Zhenjiang Jiang, Feifei Jiang, Qian Huang, Junhao Huang, Zixian Huang, Haian Hua, Zhouqi Hua, Ermo Hu, Han Hou, Linfeng He, Yinan He, Conghui He, Tianyao Guo, Xu Guo, Qipeng Guo, Aijia Gu, Yuzhe Gu, Lixin Gong, Jingyang Ge, Qiming Ge, Jiaye Gao, Songyang Gao, Jianfei Fang, Xinyu fan, Caihua Fan, Yue Duan, Yanhui Ding, Zichen Ding, Shengyuan Ding, Ning Dai, Xuanlang Cui, Erfei Cui, Ganqu Chu, Pei Chu, Tao Cheng, Guangran Cheng, Yu Chen, Kai Chen, Yongkang Chen, Chiyu Chen, Guanzhou Chen, Qiaosheng Chen, Sitao Chen, Xin Chen, Haojiong Chen, Yicheng Cao, Weihan Cao, Yuhang Cao, Qinglong Bai, Lei |
| contents | We introduce Intern-S1-Pro, the first one-trillion-parameter scientific multimodal foundation model. Scaling to this unprecedented size, the model delivers a comprehensive enhancement across both general and scientific domains. Beyond stronger reasoning and image-text understanding capabilities, its intelligence is augmented with advanced agent capabilities. Simultaneously, its scientific expertise has been vastly expanded to master over 100 specialized tasks across critical science fields, including chemistry, materials, life sciences, and earth sciences. Achieving this massive scale is made possible by the robust infrastructure support of XTuner and LMDeploy, which facilitates highly efficient Reinforcement Learning (RL) training at the 1-trillion parameter level while ensuring strict precision consistency between training and inference. By seamlessly integrating these advancements, Intern-S1-Pro further fortifies the fusion of general and specialized intelligence, working as a Specializable Generalist, demonstrating its position in the top tier of open-source models for general capabilities, while outperforming proprietary models in the depth of specialized scientific tasks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_25040 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale Zou, Yicheng Zhu, Dongsheng Zhu, Lin Zhu, Tong Zhou, Yunhua Zhou, Peiheng Zhou, Xinyu Zhou, Dongzhan Zhou, Zhiwang Zhou, Yuhao Zhou, Bowen Zhong, Zhanping Zhong, Zhijie Zhao, Haiteng Zhao, Penghao Zhao, Xiaomeng Zhao, Zhiyuan Zhang, Yechen Zhang, Jin Zhang, Wenwei Zhang, Hongjie Zhang, Zhuo Zhang, Wenlong Zhang, Bo Zhang, Chao Zhang, Chen Zang, Yuhang Yuan, Fei Yuan, Jiakang Yu, Jiashuo Yin, Jinhui Ye, Haochen Yao, Qian Yang, Bowen Yang, Danni Yang, Kaichen Yan, Ziang Xu, Jun Xu, Yicheng Xu, Wanghan Xu, Xuenan Xu, Chao Xu, Ruiliang Xing, Shuhao Xing, Long Xie, Xinchen Wu, Ling-I Wu, Zijian Wu, Zhenyu Wu, Lijun Wu, Yue Wu, Jianyu Wu, Wen Wu, Fan Wei, Xilin Wei, Qi Wang, Bingli Wang, Rui Wang, Ziyi Wang, Zun Wang, Yi Wang, Haomin Wang, Yizhou Wang, Lintao Wang, Yiheng Wang, Longjiang Wang, Bin Tong, Jian Tian, Zhongbo Tang, Huanze Tang, Chen Tang, Shixiang Sun, Yu Sun, Qiushi Su, Xuerui Su, Qisheng Su, Chenlin Song, Demin Shi, Jin Shang, Fukai Ren, Yuchen Ren, Pengli Qu, Xiaoye Qu, Yuan Qiu, Jiantao Qiao, Yu Qi, Biqing Peng, Runyu Peng, Tianshuo Peng, Jiahui Pei, Qizhi Pan, Zhuoshi Ouyang, Linke Ning, Wenchang Ma, Yichuan Ma, Zerun Ma, Ningsheng Ma, Runyuan Lyu, Chengqi Lv, Haijun Lv, Han Lu, Lindong Liu, Kuikun Liu, Jiangning Liu, Yuhong Liu, Kai Liu, Hongwei Liu, Zhoumianze Liu, Mengjie Liu, Ziyu Liu, Wenran Liu, Yang Liu, Liwei Liu, Kaiwen Lin, Junyao Lin, Junming Lin, Tianyang Lin, Dahua Liang, Jianze Li, Linyang Li, Peiji Li, Zonglin Li, Zehao Li, Pengze Li, Guoyan Kong, Lingkai Jing, Linglin Jin, Zhenjiang Jiang, Feifei Jiang, Qian Huang, Junhao Huang, Zixian Huang, Haian Hua, Zhouqi Hua, Ermo Hu, Han Hou, Linfeng He, Yinan He, Conghui He, Tianyao Guo, Xu Guo, Qipeng Guo, Aijia Gu, Yuzhe Gu, Lixin Gong, Jingyang Ge, Qiming Ge, Jiaye Gao, Songyang Gao, Jianfei Fang, Xinyu fan, Caihua Fan, Yue Duan, Yanhui Ding, Zichen Ding, Shengyuan Ding, Ning Dai, Xuanlang Cui, Erfei Cui, Ganqu Chu, Pei Chu, Tao Cheng, Guangran Cheng, Yu Chen, Kai Chen, Yongkang Chen, Chiyu Chen, Guanzhou Chen, Qiaosheng Chen, Sitao Chen, Xin Chen, Haojiong Chen, Yicheng Cao, Weihan Cao, Yuhang Cao, Qinglong Bai, Lei Machine Learning Computation and Language Computer Vision and Pattern Recognition We introduce Intern-S1-Pro, the first one-trillion-parameter scientific multimodal foundation model. Scaling to this unprecedented size, the model delivers a comprehensive enhancement across both general and scientific domains. Beyond stronger reasoning and image-text understanding capabilities, its intelligence is augmented with advanced agent capabilities. Simultaneously, its scientific expertise has been vastly expanded to master over 100 specialized tasks across critical science fields, including chemistry, materials, life sciences, and earth sciences. Achieving this massive scale is made possible by the robust infrastructure support of XTuner and LMDeploy, which facilitates highly efficient Reinforcement Learning (RL) training at the 1-trillion parameter level while ensuring strict precision consistency between training and inference. By seamlessly integrating these advancements, Intern-S1-Pro further fortifies the fusion of general and specialized intelligence, working as a Specializable Generalist, demonstrating its position in the top tier of open-source models for general capabilities, while outperforming proprietary models in the depth of specialized scientific tasks. |
| title | Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale |
| topic | Machine Learning Computation and Language Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2603.25040 |