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| Format: | Preprint |
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2026
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| Online Access: | https://arxiv.org/abs/2605.26494 |
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| author | MiniMax : Chen, Aili Li, Aonian Zhou, Baichuan Gong, Bangwei Jiang, Binyang Dan, Boji Yu, Changqing Wang, Chao Ma, Cheng Zhong, Cheng Zhu, Cheng Xiao, Chengjun Yang, Chengyi Du, Chengyu Zhang, Chenyang Zhang, Chi Huang, Chuangyi Zhang, Chunhao Du, Chunhui Zhao, Chunyu Guo, Congchao Chen, Da Ding, Deming Sun, Dianjun Zhang, Dongyu Yang, Enhui Yu, Fei Zheng, Guang Zheng, Guodong Li, Guohong Zhu, Haichao Zhou, Haigang Zhang, Haimo Ding, Han Zhang, Hao Sun, Haohai Lyu, Haolin Lu, Haonan Wang, Haoyu Shi, Huajie Li, Huiyang Chen, Jiacheng Zhang, Jian Zhuang, Jiaqi Cai, Jiaren Pan, Jiaxin Li, Jiayao Song, Jiayuan Zhang, Jichuan Wang, Jie Gu, Jihao Zhu, Jin Dong, Jingwei Li, Jingyang Zhang, Jingyu Zhuang, Jingze Tian, Jinhao Liu, Jinli Hu, Jinyi Tao, Jun Zhang, Jun Ruan, Junbin Xu, Junhao Yan, Junjie Liu, Junteng He, Junxian Xu, Kang Ji, Ke Yang, Ke Xiao, Kecheng Duan, Keyu Li, Keyu Han, Le Ruan, Letian Yuan, Li Yu, Lianfei Feng, Liheng Mo, Lijie Li, Lin Bao, Lingye Yang, Lingyu Zhou, Lingyuan Loki Chen, Lu Ceng, Lunbin Li, Ming Zhong, Ming Tao, Mingliang Chi, Mingyuan Lin, Mujie Hu, Nan Chen, Ningxin Zhu, Peiyin Gao, Peng Gao, Pengcheng Li, Pengfei Li, Penglin Zhao, Pengyu Ren, Qibin Xu, Qidi Ren, Qihan Li, Qile Wang, Qin Chen, Quanliang Ceng, Qunhong Tian, Rong Dong, Rui Leng, Ruitao Zhang, Ruize Liu, Shanqi Chen, Shaoyu Jia, Sheng Yao, Shun Zhao, Shuoran Yu, Shuqi Li, Sichen Pan, Sicheng Zhu, Songquan Li, Tengfei Xie, Tian Qin, Tiancheng Liang, Tianrun Liu, Wei Xu, Weiqi Li, Weitao Chen, Weixiang Cheng, Weiyu Zhang, Weiyu Chen, Wenhu Zhao, Wenqian Chen, Xiancai Song, Xiangjun Wang, Xiangyuan Luo, Xiao Su, Xiao Li, Xiaobo Han, Xiaodong Wu, Xiaojie Song, Xihao Han, Xingyi Guan, Xinyu Lu, Xuan Zou, Xun Lai, Xunhao Li, Xutong Gong, Yan Wang, Yang Xu, Yang Wang, Yangsen Tang, Ye Chen, Yicheng Qiu, Yinran Shi, Yiqi Guo, Yiting Huang, Yiwen Wang, Yixuan Hu, Yongyi Gao, Yu Zhang, Yu Ying, Yuanxiang Zhang, Yuanzhen Wang, Yubo Song, Yuchen Yang, Yufeng Meng, Yuhang Miao, Yuhang Li, Yuhao Liu, Yujie Hu, Yulin Huang, Yunan Li, Yunji Huang, Yunyi Zhang, Yusen Hong, Yusu Xie, Yutao Zhang, Yutong Liao, Yuwen Shi, Yuxuan Wenren, Yuze Li, Zebin Li, Zehan Luo, Zejian Jin, Zeyu Sun, Zeyuan Zhou, Zhanpeng Su, Zhaochen Li, Zhendong Zhu, Zhengmao Peng, Zhengyuan Fan, Zhenhua Zhang, Zhi Xu, Zhichao Lv, Zhiheng Xu, Zhikang He, Zhitao He, Zhiwei Li, Zhongyuan Gao, Zibo Wu, Zijia Song, Zijian Zhou, Zijian Sun, Zijun Huang, Zishan Chen, Ziying Ge, Ziyue |
| author_facet | MiniMax : Chen, Aili Li, Aonian Zhou, Baichuan Gong, Bangwei Jiang, Binyang Dan, Boji Yu, Changqing Wang, Chao Ma, Cheng Zhong, Cheng Zhu, Cheng Xiao, Chengjun Yang, Chengyi Du, Chengyu Zhang, Chenyang Zhang, Chi Huang, Chuangyi Zhang, Chunhao Du, Chunhui Zhao, Chunyu Guo, Congchao Chen, Da Ding, Deming Sun, Dianjun Zhang, Dongyu Yang, Enhui Yu, Fei Zheng, Guang Zheng, Guodong Li, Guohong Zhu, Haichao Zhou, Haigang Zhang, Haimo Ding, Han Zhang, Hao Sun, Haohai Lyu, Haolin Lu, Haonan Wang, Haoyu Shi, Huajie Li, Huiyang Chen, Jiacheng Zhang, Jian Zhuang, Jiaqi Cai, Jiaren Pan, Jiaxin Li, Jiayao Song, Jiayuan Zhang, Jichuan Wang, Jie Gu, Jihao Zhu, Jin Dong, Jingwei Li, Jingyang Zhang, Jingyu Zhuang, Jingze Tian, Jinhao Liu, Jinli Hu, Jinyi Tao, Jun Zhang, Jun Ruan, Junbin Xu, Junhao Yan, Junjie Liu, Junteng He, Junxian Xu, Kang Ji, Ke Yang, Ke Xiao, Kecheng Duan, Keyu Li, Keyu Han, Le Ruan, Letian Yuan, Li Yu, Lianfei Feng, Liheng Mo, Lijie Li, Lin Bao, Lingye Yang, Lingyu Zhou, Lingyuan Loki Chen, Lu Ceng, Lunbin Li, Ming Zhong, Ming Tao, Mingliang Chi, Mingyuan Lin, Mujie Hu, Nan Chen, Ningxin Zhu, Peiyin Gao, Peng Gao, Pengcheng Li, Pengfei Li, Penglin Zhao, Pengyu Ren, Qibin Xu, Qidi Ren, Qihan Li, Qile Wang, Qin Chen, Quanliang Ceng, Qunhong Tian, Rong Dong, Rui Leng, Ruitao Zhang, Ruize Liu, Shanqi Chen, Shaoyu Jia, Sheng Yao, Shun Zhao, Shuoran Yu, Shuqi Li, Sichen Pan, Sicheng Zhu, Songquan Li, Tengfei Xie, Tian Qin, Tiancheng Liang, Tianrun Liu, Wei Xu, Weiqi Li, Weitao Chen, Weixiang Cheng, Weiyu Zhang, Weiyu Chen, Wenhu Zhao, Wenqian Chen, Xiancai Song, Xiangjun Wang, Xiangyuan Luo, Xiao Su, Xiao Li, Xiaobo Han, Xiaodong Wu, Xiaojie Song, Xihao Han, Xingyi Guan, Xinyu Lu, Xuan Zou, Xun Lai, Xunhao Li, Xutong Gong, Yan Wang, Yang Xu, Yang Wang, Yangsen Tang, Ye Chen, Yicheng Qiu, Yinran Shi, Yiqi Guo, Yiting Huang, Yiwen Wang, Yixuan Hu, Yongyi Gao, Yu Zhang, Yu Ying, Yuanxiang Zhang, Yuanzhen Wang, Yubo Song, Yuchen Yang, Yufeng Meng, Yuhang Miao, Yuhang Li, Yuhao Liu, Yujie Hu, Yulin Huang, Yunan Li, Yunji Huang, Yunyi Zhang, Yusen Hong, Yusu Xie, Yutao Zhang, Yutong Liao, Yuwen Shi, Yuxuan Wenren, Yuze Li, Zebin Li, Zehan Luo, Zejian Jin, Zeyu Sun, Zeyuan Zhou, Zhanpeng Su, Zhaochen Li, Zhendong Zhu, Zhengmao Peng, Zhengyuan Fan, Zhenhua Zhang, Zhi Xu, Zhichao Lv, Zhiheng Xu, Zhikang He, Zhitao He, Zhiwei Li, Zhongyuan Gao, Zibo Wu, Zijia Song, Zijian Zhou, Zijian Sun, Zijun Huang, Zishan Chen, Ziying Ge, Ziyue |
| contents | We introduce the MiniMax-M2 series, a family of Mixture-of-Experts language models built around the principle that mini activations can unleash maximum real-world intelligence. The flagship M2 contains 229.9B total parameters with only 9.8B activated per token. Designed end-to-end for agentic deployment, the M2 series rests on three components: (i) agent-driven data pipelines producing large-scale, verifiable trajectories across agentic coding and agentic cowork, each grounded in an executable workspace and an artifact-aligned reward; (ii) Forge, a scalable agent-native RL system that adapts to long-horizon agent trajectories, paired with windowed-FIFO scheduling, prefix-tree merging, inference optimization, and a clean training-inference-agent decoupling that supports both white-box and black-box agents; (iii) the latest M2.7 checkpoint takes an early step toward self-evolution -- autonomously debugging training runs and modifying its own scaffold. Across M2 through M2.7, this combination translates a mini-activation footprint into frontier-tier performance on agentic coding, deep search, office-task, and reasoning benchmarks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_26494 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence MiniMax : Chen, Aili Li, Aonian Zhou, Baichuan Gong, Bangwei Jiang, Binyang Dan, Boji Yu, Changqing Wang, Chao Ma, Cheng Zhong, Cheng Zhu, Cheng Xiao, Chengjun Yang, Chengyi Du, Chengyu Zhang, Chenyang Zhang, Chi Huang, Chuangyi Zhang, Chunhao Du, Chunhui Zhao, Chunyu Guo, Congchao Chen, Da Ding, Deming Sun, Dianjun Zhang, Dongyu Yang, Enhui Yu, Fei Zheng, Guang Zheng, Guodong Li, Guohong Zhu, Haichao Zhou, Haigang Zhang, Haimo Ding, Han Zhang, Hao Sun, Haohai Lyu, Haolin Lu, Haonan Wang, Haoyu Shi, Huajie Li, Huiyang Chen, Jiacheng Zhang, Jian Zhuang, Jiaqi Cai, Jiaren Pan, Jiaxin Li, Jiayao Song, Jiayuan Zhang, Jichuan Wang, Jie Gu, Jihao Zhu, Jin Dong, Jingwei Li, Jingyang Zhang, Jingyu Zhuang, Jingze Tian, Jinhao Liu, Jinli Hu, Jinyi Tao, Jun Zhang, Jun Ruan, Junbin Xu, Junhao Yan, Junjie Liu, Junteng He, Junxian Xu, Kang Ji, Ke Yang, Ke Xiao, Kecheng Duan, Keyu Li, Keyu Han, Le Ruan, Letian Yuan, Li Yu, Lianfei Feng, Liheng Mo, Lijie Li, Lin Bao, Lingye Yang, Lingyu Zhou, Lingyuan Loki Chen, Lu Ceng, Lunbin Li, Ming Zhong, Ming Tao, Mingliang Chi, Mingyuan Lin, Mujie Hu, Nan Chen, Ningxin Zhu, Peiyin Gao, Peng Gao, Pengcheng Li, Pengfei Li, Penglin Zhao, Pengyu Ren, Qibin Xu, Qidi Ren, Qihan Li, Qile Wang, Qin Chen, Quanliang Ceng, Qunhong Tian, Rong Dong, Rui Leng, Ruitao Zhang, Ruize Liu, Shanqi Chen, Shaoyu Jia, Sheng Yao, Shun Zhao, Shuoran Yu, Shuqi Li, Sichen Pan, Sicheng Zhu, Songquan Li, Tengfei Xie, Tian Qin, Tiancheng Liang, Tianrun Liu, Wei Xu, Weiqi Li, Weitao Chen, Weixiang Cheng, Weiyu Zhang, Weiyu Chen, Wenhu Zhao, Wenqian Chen, Xiancai Song, Xiangjun Wang, Xiangyuan Luo, Xiao Su, Xiao Li, Xiaobo Han, Xiaodong Wu, Xiaojie Song, Xihao Han, Xingyi Guan, Xinyu Lu, Xuan Zou, Xun Lai, Xunhao Li, Xutong Gong, Yan Wang, Yang Xu, Yang Wang, Yangsen Tang, Ye Chen, Yicheng Qiu, Yinran Shi, Yiqi Guo, Yiting Huang, Yiwen Wang, Yixuan Hu, Yongyi Gao, Yu Zhang, Yu Ying, Yuanxiang Zhang, Yuanzhen Wang, Yubo Song, Yuchen Yang, Yufeng Meng, Yuhang Miao, Yuhang Li, Yuhao Liu, Yujie Hu, Yulin Huang, Yunan Li, Yunji Huang, Yunyi Zhang, Yusen Hong, Yusu Xie, Yutao Zhang, Yutong Liao, Yuwen Shi, Yuxuan Wenren, Yuze Li, Zebin Li, Zehan Luo, Zejian Jin, Zeyu Sun, Zeyuan Zhou, Zhanpeng Su, Zhaochen Li, Zhendong Zhu, Zhengmao Peng, Zhengyuan Fan, Zhenhua Zhang, Zhi Xu, Zhichao Lv, Zhiheng Xu, Zhikang He, Zhitao He, Zhiwei Li, Zhongyuan Gao, Zibo Wu, Zijia Song, Zijian Zhou, Zijian Sun, Zijun Huang, Zishan Chen, Ziying Ge, Ziyue Artificial Intelligence Computation and Language Machine Learning We introduce the MiniMax-M2 series, a family of Mixture-of-Experts language models built around the principle that mini activations can unleash maximum real-world intelligence. The flagship M2 contains 229.9B total parameters with only 9.8B activated per token. Designed end-to-end for agentic deployment, the M2 series rests on three components: (i) agent-driven data pipelines producing large-scale, verifiable trajectories across agentic coding and agentic cowork, each grounded in an executable workspace and an artifact-aligned reward; (ii) Forge, a scalable agent-native RL system that adapts to long-horizon agent trajectories, paired with windowed-FIFO scheduling, prefix-tree merging, inference optimization, and a clean training-inference-agent decoupling that supports both white-box and black-box agents; (iii) the latest M2.7 checkpoint takes an early step toward self-evolution -- autonomously debugging training runs and modifying its own scaffold. Across M2 through M2.7, this combination translates a mini-activation footprint into frontier-tier performance on agentic coding, deep search, office-task, and reasoning benchmarks. |
| title | The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence |
| topic | Artificial Intelligence Computation and Language Machine Learning |
| url | https://arxiv.org/abs/2605.26494 |