过去一个月，AI圈热闹得像过年。智谱AI、MiniMax先后在港股敲钟，市值千亿；月之暗面拿下5亿美金融资。就在大家以为"大模型六小虎"的座次排定， 可以消停一阵的时候，阶跃星辰突然发布重磅消息，完成超50亿人民币B+轮融资，一举刷新过去12个月中国大模型赛道单笔最高融资纪录。 本轮参与的机构包括，上国投先导基金、国寿股权、浦东创投、徐汇资本、无锡梁溪基金、厦门国贸、华勤技术、腾讯、启明、五源等。要知道，在2025年 这个融资寒冬里，AI公司想拿钱难于上青天，更别提单笔数十亿的大额融资了。 数据显示，2025年AI模型公司总共完成22笔投资，金额94.16亿元，比2024年明显下滑。能拿到大额融资的，也就智谱AI、MiniMax、月之暗面这几家。阶 跃星辰能在这个时候拿下50亿，说明其价值以及资本市场的信任。 一、中国最低调的AI公司，默默深耕"物理AI" 阶跃星辰成立不到三年，但动作迅速。目前已发布30余款模型，构建起国内最全的基模矩阵，形成了围绕AI+终端的独特"1+2"基模体系。 这个"1+2"怎么理解？"1"是Step 3在内的基座模型，负责打地基；"2"是发力多模态（文字、语音、图像）和端云结合两大 ...

2026年1月26日，行业领先的通用大模型创业公司阶跃星辰（StepFun）正式宣布完成超50亿元人民币B+轮融资，一举创下过去12个月中国大模型领域单 笔最高融资纪录。同日，人工智能领域领军人物印奇出任公司董事长，与现有核心管理团队携手，全面加速"基础大模型+AI+终端"双轮战略落地，为国 产大模型商业化竞争注入强音。 本次B+轮融资阵容堪称豪华，汇聚了"国资引导+产业资本+头部创投"的多元力量。上国投先导基金、国寿股权、浦东创投、徐汇资本等国资及产业投资 人强势入局，厦门国贸、华勤技术等产业方深度参与，腾讯、启明、五源等老股东则持续加码跟投，彰显了资本市场对阶跃星辰技术实力与商业化路径的 高度认可。 据介绍，本轮超50亿元融资将重点投入基础模型研发，聚焦全球顶尖基座模型的技术攻坚，同时加速"AI+终端"战略的场景落地与生态拓展。在大模型行 业从"百模大战"迈入"头部对决"的关键阶段，这笔创纪录的融资不仅为阶跃星辰提供了充足的资金储备，更构建起覆盖资本、产业、技术的协同生态，为 其在核心技术研发与商业化竞争中奠定优势。 与巨额融资同步落地的，是公司核心管理团队的重磅升级。人工智能领域知名创业者印奇正式出任阶 ...

AI Industry Trends - ByteDance has open-sourced its AI Agent "Coze," which supports commercial use and has over 6,000 stars on GitHub, providing a platform for developing intelligent agents without coding[14] - The "Step 3" model by Jieyue features 321 billion total parameters and 38 billion activated parameters, achieving a 300% inference efficiency compared to DeepSeek-R1, with expected revenue of nearly $1 billion in 2025[11] - Ant Group released the financial reasoning model "Agentar-Fin-R1," which outperforms similar models in multiple financial evaluations and is based on a comprehensive financial dataset[16] AI Applications and Platforms - SenseTime launched the "Wuneng" embodied intelligence platform, featuring a multimodal reasoning model that improves cross-modal reasoning accuracy by 5 times compared to Gemini 2.5 Pro[8] - Huawei introduced the AI-Box platform, designed for lightweight edge deployment, supporting local execution of multimodal large models with low power consumption[9] - Tencent's Tairos platform offers modular services for multimodal perception and planning, focusing on enhancing robotic software capabilities[10] AI Model Developments - Zhiyuan released the GLM-4.5 model, which integrates reasoning, programming, and agent capabilities, achieving top performance in global open-source model benchmarks[17] - JD Cloud announced the open-source enterprise-level intelligent agent "JoyAgent," which supports multi-agent collaboration and has been tested in over 20,000 internal applications[18] - ByteDance and Nanjing University developed the CriticLean framework, improving the accuracy of mathematical formalization from 38% to 84%[19] Market Risks - AI software sales are below expectations, leading to adjustments in capital expenditure plans and slower iteration speeds for core AI products[34]

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) concluded with significant participation, featuring over 1,500 experts from more than 70 countries and regions, and 800 companies, indicating growing interest in AI technologies [1][2] - Key trends highlighted include the pervasive integration of generative AI across various sectors, advancements in computing power, enhanced capabilities of robots, and significant progress in Robotaxi technology [3][4] Generative AI Developments - Generative AI is becoming ubiquitous, moving beyond simple applications to industrial, medical, and transportation sectors [3] - New models, such as the Step 3 from Jieyue Star, demonstrate significant advancements with 321 billion parameters, enhancing efficiency and reducing computational costs [4] - MiniMax introduced a full-stack intelligent agent capable of executing tasks autonomously, showcasing rapid iteration and competitive dynamics in the sector [4] Safety and Security Innovations - AI security technologies, such as those from Hehe Information, can identify deepfakes in milliseconds, crucial for finance and government sectors [5] - Baidu showcased a comprehensive application generation pipeline, enabling users to create functional applications rapidly [5] Computing Power Advancements - Domestic GPU manufacturers showcased significant advancements, with Huawei's CloudMatrix 384 super node achieving 300 PFlops of computing power [9][11] - The focus has shifted from single-card performance to overall efficiency and cost-effectiveness in AI applications [12][14] Robotics Evolution - Robots are evolving from basic functionalities to performing complex tasks, including emotional interactions and practical applications in various fields [15][21] - Companies like Qianxun Intelligent and Fuliye Intelligent are demonstrating robots capable of performing intricate movements and providing companionship in healthcare settings [15][16] Autonomous Driving Innovations - The WAIC featured practical demonstrations of Robotaxi technology, with companies like Xiaoma Zhixing and Baidu showcasing their autonomous vehicles navigating real traffic [22][24] - The Shanghai government announced plans to enhance autonomous driving infrastructure, aiming for significant passenger and cargo transport by 2027 [27]

Core Viewpoint - The establishment of the "Model Core Ecological Innovation Alliance" by Step 3 in collaboration with nearly 10 chip manufacturers signifies a strategic move towards enhancing collaboration in the chip industry, particularly in the context of large models and chip innovation [1] Group 1: Alliance Formation - Step 3 has launched the "Model Core Ecological Innovation Alliance" with participation from major chip manufacturers including Huawei Ascend, Mu Xi, Tian Shu Zhi Xin, Sui Yuan Technology, Bi Ran Technology, Han Wu Ji, Mo Er Thread, Wu Wen Xin Qiong, and Silicon-based Flow [1] - The first batch of alliance members has begun adapting their technologies to support the Step 3 model, with Huawei Ascend being the first to achieve deployment and operation [1] Group 2: Industry Collaboration - Key figures from the domestic chip industry participated in a roundtable forum at the Step 3 model launch, discussing "Collaborative Innovation between Large Models and Chips" [1] - The forum featured prominent leaders such as Chen Weiliang from Mu Xi, Gai Lujian from Tian Shu Zhi Xin, Zhao Lidong from Sui Yuan Technology, and Zhang Wen from Bi Ran Technology, highlighting the importance of collaboration in driving innovation [1]