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北京市中伦律师事务所 关于中科寒武纪科技股份有限公司 2025 年度向特定对象发行 A 股股票 发行过程及认购对象合规性的 法律意见书 二〇二五年九月 北京 • 上海 • 深圳 • 广州 • 武汉 • 成都 • 重庆 • 青岛 • 杭州 • 南京 • 海口 • 东京 • 香港 • 伦敦 • 纽约 • 洛杉矶 • 旧金山 • 阿拉木图 Beijing • Shanghai • Shenzhen • Guangzhou • Wuhan • Chengdu • Chongqing • Qingdao • Hangzhou • Nanjing • Haikou • Tokyo • Hong Kong • London • New York • Los Angeles • San Francisco • Almaty | 一、本次发行的授权和批准 | 5 | | --- | --- | | （一） 发行人的内部授权和批准 | 5 | | （二） 上交所审核及中国证监会注册 | 6 | | 二、本次发行过程的合规性 | 6 | | （一）发出认购邀请 6 | | | （二）投资者申购报价 7 | | | （三）定价和配售 ...

Core Insights - The article discusses the launch of the new AI model GLM-4.6 by Zhipu, highlighting significant advancements in various capabilities and its compatibility with domestic chips [1][2][3] Group 1: Model Enhancements - GLM-4.6 features improvements in advanced coding capabilities, aligning its code performance with Claude Sonnet 4 in public benchmarks and real programming tasks [1] - The context length has been increased from 128K to 200K, allowing for better handling of longer code and intelligent agent tasks [1] - The model's reasoning ability has been enhanced, now supporting tool invocation during inference [2] - Search capabilities have been improved, enabling better tool invocation and search intelligence within the intelligent agent framework [2] - Writing capabilities have been upgraded, making the model's style, readability, and role-playing scenarios more aligned with human preferences [3] Group 2: Commercialization and Market Activity - GLM-4.6 has been launched on the Zhipu MaaS platform and will be open-sourced on Hugging Face and ModelScope under the MIT license [3] - Following the release of the previous model GLM-4.5, Zhipu's MaaS platform API commercialization saw over a tenfold increase [3] - The AI sector is experiencing heightened activity, with stocks of companies like Haitai Ruisheng, Dou Shen Education, and Fabben Information seeing significant gains [8] - Recent collaborations include Kevin Education's joint venture with Zhipu to develop AI educational products, with a registered capital of 50 million yuan [8] - Tuo Si Da announced its humanoid robot "Xiao Tuo," developed in collaboration with Zhipu, capable of autonomous reasoning and decision-making for complex tasks [8] - UCloud has signed a cooperation agreement with Zhipu to enhance model deployment, cloud service optimization, and industry application [8]

| 序 | 发行对象名称 | 获配股数 | 获配金额 | 限售期 | | --- | --- | --- | --- | --- | | 름 | | (股) | (元) | (月) | | 1 | 广发基金管理有限公司 | 1.010.861 | 1,207.999.112.22 | 6 | | 2 | UBS AG | 364,010 | 434,999,230.20 | 6 | | 3 | 新华资产管理股份有限公司 | 351,458 | 419,999,339.16 | 6 | | 4 | 汇添富基金管理股份有限公司 | 296,647 | 354,499,097.94 | 6 | | 5 | 诺德基金管理有限公司 | 233,217 | 278,698,979.34 | 6 | | 6 | 国泰海通证券股份有限公司 | 221,753 | 264,999,270.06 | 6 | | 7 | 国信证券(香港)资产管理有限公司 | 184,097 | 219,999,596.94 | 6 | | 8 | 博时基金管理有限公司 | 132,215 | 157,999,569.30 | 6 | | 9 | ...

寒武纪公告称，公司向特定对象发行A股股票333.49万股，每股发行价格为人民币1195.02元，募集资金总额为39.85亿元，扣除各项发行费用人民币3217.13万元（不含税），公司实际募集资金净额为人民币39.53亿元。募集资金将用于面向大模型的芯片平台项目、面向大模型的软件平台项目及补充流动资金。 ...

（一）本次《募集资金专户存储三方监管协议》的签订情况 公司于 2025 年 9 月 12 日召开第二届董事会第三十六次会议，审议通过了《关于公 司设立 2025 年度向特定对象发行 A 股股票募集资金专用账户的议案》。为规范公司募集 资金存放、使用与管理，提高资金使用效率，切实保护投资者权益，根据《上市公司募 集资金监管规则》《上海证券交易所科创板上市公司自律监管指引第 1 号——规范运作》 等法律、法规及规范性文件和公司《募集资金管理制度》的相关规定，2025 年 9 月 30 日，公司与保荐机构中信证券股份有限公司（以下简称"中信证券"）、募集资金专户存 储的商业银行中国建设银行股份有限公司北京中关村分行、北京银行股份有限公司九龙 山支行、中信银行股份有限公司北京分行（以下简称"签约银行"）分别签订了《募集 资金专户存储三方监管协议》（以下简称"三方监管协议"或"本协议"），本协议内容 与上海证券交易所制订的《募集资金专户存储三方监管协议（范本）》不存在重大差异。 证券代码：688256 证券简称：寒武纪 公告编号：2025-058 中科寒武纪科技股份有限公司 关于设立募集资金专项账户 并签订募集资金专户 ...

中信证券股份有限公司 关于 中科寒武纪科技股份有限公司 2025 年度向特定对象发行 A 股股票 发行过程和认购对象合规性的报告 保荐人（主承销商） 二零二五年九月 经中国证券监督管理委员会（以下简称"中国证监会"）《关于同意中科寒 武纪科技股份有限公司向特定对象发行股票注册的批复》（证监许可[2025]1969 号）批复，同意中科寒武纪科技股份有限公司（简称"寒武纪"、"发行人"或 "公司"）向特定对象发行股票的注册申请。 广东省深圳市福田区中心三路8号卓越时代广场（二期）北座 中信证券股份有限公司（以下简称"中信证券"、"保荐人"、"主承销商" 或"保荐人（主承销商）"）作为寒武纪本次向特定对象发行股票（以下简称"本 次发行"）的保荐人和主承销商，对发行人本次发行过程及认购对象的合规性进 行了核查，认为寒武纪的本次发行过程及认购对象符合《中华人民共和国公司法》 （以下简称"《公司法》"）、《中华人民共和国证券法》（以下简称"《证券法》"）、 《证券发行与承销管理办法》《上市公司证券发行注册管理办法》（以下简称"《注 册管理办法》"）、《上海证券交易所上市公司证券发行与承销业务实施细则》 （以下简称"《实施 ...

中科寒武纪科技股份有限公司发布2025年度向特定对象发行股票发行情况提示性公告。公司本次向特定 对象发行A股股票的发行承销总结相关文件已获上海证券交易所备案通过，将尽快办理新增股份登记托 管手续。本次发行具体情况可查看公司同日在上海证券交易所网站披露的《中科寒武纪科技股份有限公 司2025年度向特定对象发行A股股票发行情况报告书》等相关文件。 ...

Core Viewpoint - The company, Zhongke Hanwuji Technology Co., Ltd., has announced a private placement of 3,334,946 shares at a price of 1,195.02 yuan per share, raising a total of approximately 3.99 billion yuan, with a net amount of about 3.95 billion yuan [1] Fundraising Details - The funds raised will be allocated to specific projects, including the "Chip Platform Project for Large Models" [1] - A tripartite supervision agreement for the special account for raised funds has been signed with the sponsor, CITIC Securities, and the contracted bank, effective until the funds are fully utilized and the supervision period ends [1] - Detailed regulations regarding the rights and obligations of all parties, fund usage, and supervision have been established in the agreement [1]

Core Insights - The release of the new generation large model GLM-4.6 by the domestic unicorn company Zhipu marks a significant advancement in programming capabilities, surpassing the latest model DeepSeek-V3.2-Exp and aligning with global leader Claude Sonnet 4 in various benchmarks [2][3][5] Model Performance - GLM-4.6 has achieved substantial improvements in core capabilities such as Agentic Coding, long context processing, reasoning ability, information retrieval, text generation, and intelligent agent applications [3][4] - The context window has been increased from 128K to 200K, allowing for better handling of longer code and agent tasks [3] - The model's reasoning ability has been enhanced, supporting tool invocation during reasoning processes [3] - In practical programming tasks, GLM-4.6 outperformed Claude Sonnet 4 in 74 real-world scenarios [3] Token Efficiency and User Experience - GLM-4.6 has improved token efficiency, consuming over 30% fewer tokens compared to GLM-4.5 for similar tasks [4] - The model enhances the usability of presentations and the aesthetic quality of front-end code, improving layout design [4] Open Source and Ecosystem Development - GLM-4.6 is set to be open-sourced on platforms like Hugging Face and ModelScope under a permissive MIT license, positioning it as one of the strongest general-purpose models in the global open-source ecosystem [5] - The model has been adapted for use on domestic AI chips from companies like Cambrian and Moore Threads, facilitating a collaborative ecosystem between domestic large models and chips [5][6] Industry Collaboration and Future Prospects - The rapid adaptation of GLM-4.6 by domestic chip manufacturers indicates a deepening collaboration within China's AI industry, moving towards a unified ecosystem of software and hardware [6] - Zhipu has initiated A-share listing guidance, aiming to become the first publicly listed company focused on domestic AI large models, signaling a shift from technological competition to commercialization and capital operation [6]