一句话克隆 ChatGPT Agent？智谱GLM-4.5首测：零配置，全功能｜内有福利

Core Insights - The article discusses the release of GLM-4.5 by Zhipu, highlighting its strong performance in reasoning, coding, and agent capabilities, with a total parameter count of 335 billion and an activation parameter count of 32 billion [1] - GLM-4.5 is noted for its cost-effectiveness, priced at 0.8 yuan per million tokens for input and 2 yuan per million tokens for output, with a high-speed output rate exceeding 100 tokens per second [1] Performance and Features - GLM-4.5 demonstrates superior coding abilities, even with fewer total parameters compared to competitors, and excels in mixed reasoning, providing excellent results even with short prompts [2] - The model integrates various agent capabilities within a single API, allowing for seamless product development and the creation of a simplified ChatGPT-like agent [3][25] - It is compatible with Claude Code, enabling users to replace Claude Code models easily [5] Use Cases and Applications - The model successfully completes coding tasks without complex instructions, such as generating a Gmail page or a 3D abstract art piece, showcasing its ability to understand and execute detailed requirements [7][9] - GLM-4.5 can create comprehensive components like a calendar manager and an OKR management tool, fulfilling all specified requirements without bugs [11][13][14] - The model also generates high-fidelity e-commerce web pages, including detailed checkout processes, demonstrating its capability in UI/UX design [17][19][20] Integration and Accessibility - GLM-4.5 supports integration with various tools and APIs, including a search tool for generating dynamic web pages based on real-time data, such as event information for WAIC [27][28] - The model is available for a subscription fee of 50 yuan for unlimited usage, making it accessible for developers and non-developers alike [34] Strategic Positioning - The article emphasizes that GLM-4.5 represents a strategic advantage by integrating multiple functionalities into a single model, contrasting with competitors that have developed fragmented solutions [35][36] - This integration approach allows users to streamline their workflows, reducing the need for multiple models and simplifying the process of cross-model orchestration [36][37]