Zhipu AI has officially released the new foundation model

Underlying Evolution: Breaking Long Task Stalls
To make the model more "capable of work," the development team reconstructed the training data through real agent workflows, focusing on enhancing four core capabilities:
Stable Tool Calls: Enhance the accuracy of external Skills calls, ensuring no breakdowns at critical stages.
Complex Instruction Decomposition: Accurately identify goals and plan steps, supporting efficient multi-agent collaboration.
Time Dimension Awareness: Optimize for scheduled triggers and long-running scenarios, ensuring task continuity.
High Throughput Execution: Improve the execution efficiency of long-term business flows, leading in response stability among similar models.
Real-World Testing: Outstanding Performance
Zhipu also released the agent evaluation benchmark ZClawBench. In a blind test covering diverse fields such as code development, data analysis, and content creation, the new model with the code name Pony-Alpha-2 received the preference of 90% respondents. Feedback from multiple testing teams including Alibaba, Meituan, Kuaishou, and ByteDance showed that it demonstrates first-tier competitive advantages in tool call accuracy, instruction following, and "hallucination" control in office scenarios.
Terminal Adaptation and Security Management
In terms of ecosystem deployment,
To alleviate the pressure of computing costs, Zhipu introduced the "Lobster Package" including personal and team versions. Currently,
Coding Plan Max: https://z.ai/subscribe
OpenRouter: https://openrouter.ai/z-ai/glm-5-turbo
API: https://docs.z.ai/guides/llm/glm-5-turbo
