Workflow
单任务成本约0.2美元,智谱要用云端Agent抢市场
Di Yi Cai Jing·2025-08-20 13:12

Core Insights - The core focus of the news is the upgrade of the AutoGLM product by the startup Zhipu, which has transitioned to version 2.0, enabling cloud-based execution of tasks through partnerships with Alibaba Cloud and Tencent Cloud [2][5]. Group 1: Product Development - Zhipu's Agent product has evolved since its initial version launched in October last year, with functionalities including WeChat likes, Taobao shopping, and Ctrip ticket booking [2]. - The latest version 2.0 expands operational applications to include popular platforms such as Meituan, JD.com, Xiaohongshu, and Douyin, significantly increasing its usability [2]. - The previous version, AutoGLM "Sinking," was primarily localized and operated through a graphical user interface, lacking virtual machine capabilities [2][3]. Group 2: Technical Approach - Zhipu's technical lead, Liu Xiao, emphasized a unique approach where the model itself acts as the agent, integrating capabilities through end-to-end reinforcement learning [3]. - The previous reliance on human expert trajectories limited the agent's ability to handle unfamiliar tasks, prompting a shift towards a hybrid model combining deep research and browser-use agents [3]. Group 3: Cost and Market Dynamics - The cost of executing a single task with AutoGLM is approximately $0.2, with expectations for further reductions as scale and commercialization progress [5]. - In the consumer market, pricing for single tasks in China ranges from 0.008 to 0.04 RMB, while international pricing typically falls between $0.5 and $2 [5]. - The B2B market for agents is at a structural inflection point, with technological advancements and ecosystem development opening up significant market opportunities [5].