大模型第一股热闹正酣，“局外人”阶跃星辰发了一个小更新

Core Viewpoint - The article discusses the competitive landscape of domestic large models, highlighting the recent developments of Jieyue Xingchen and its new model NextStep-1.1, while contrasting it with the more aggressive advancements of its competitors like Kimi and DeepSeek [1][2][38]. Group 1: NextStep-1.1 Model Development - Jieyue Xingchen has released the NextStep-1.1 model, which addresses previous visualization failures and significantly improves image quality through enhanced training and reinforcement learning [3][6][7]. - The updates in NextStep-1.1 include improved visual fidelity and reduced visual artifacts, as well as resolving numerical instability issues inherent in the previous version [23][24][37]. - The model architecture consists of 14 billion parameters and utilizes a lightweight flow matching head for autoregressive modeling of continuous image tokens, aiming to replace traditional heavy diffusion models [28][29]. Group 2: Competitive Landscape - The competitive environment has intensified, with companies like Kimi and MiniMax making significant strides, including IPO preparations and the release of new models [41][42]. - The article notes that the "six little dragons" of large model startups are dwindling, with only a few players like Jieyue Xingchen, Kimi, and MiniMax remaining committed to self-developed general large models [46][47]. - The ongoing competition is characterized by a shift towards coding, agent development, and multimodal capabilities, with open-source ecosystems becoming a key strategy [44].