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GLM-5-Turbo - Zhipu launches a base model deeply optimized for OpenClaw.

GLM-5-Turbo (codename: Pony-Alpha-2) is a foundational model developed by Zhipu AI, deeply optimized for OpenClaw (lobster) agent scenarios. From the training phase, the model is designed to address tool invocation, complex instruction adherence, timing, and...

What is GLM-5-Turbo?

GLM-5-Turbo (codename: Pony-Alpha-2) is a foundational model developed by Zhipu AI, deeply optimized for OpenClaw (Lobster) Agent scenarios. From the training phase, the model undergoes specific optimizations for core capabilities such as tool invocation, complex instruction compliance, timed and continuous tasks, and high-throughput long-chain processing, addressing the issue of general-purpose large models easily "stalling" in real-world Agent scenarios. GLM-5-Turbo achieved first place among domestic models in the self-developed benchmark ZClawBench and has received high praise from major companies such as Alibaba, ByteDance, and Meituan. The model is now available on the Zhipu Open Platform, supporting API calls and "Lobster Package" subscriptions, and can be integrated with hardware terminals such as the Mechrevo "Lobster Box".

Main functions of GLM-5-Turbo

  • Tool callThe model enhances the ability to call external tools and various skills, ensuring stable and reliable calls without any malfunctions.
  • Complex instruction followThe model can accurately understand and break down complex, multi-layered, long-link instructions, and supports target identification, step planning, and multi-agent collaboration.
  • Scheduled and continuous tasksIt better understands time-related requirements, supports timed triggering and long-running scenarios, and ensures that long tasks are not interrupted.
  • High-throughput long-link executionOptimized for tasks with large data throughput and long chains, improving execution efficiency and stability, suitable for long-term business processes.

How to use GLM-5-Turbo

  • Official API AccessThe API can be called directly through the Zhipu Open Platform BigModel or Z.ai (api.z.ai).
  • Online experienceYou can experience it online through the AutoClaw client (https://autoglm.zhipuai.cn/autoclaw), the Z.ai official website, the Zhipu Qingyan APP, or the web version.
  • Hardware terminalThe model has been integrated into the Mechrevo Box, a subsidiary of iSoftStone, and can be used through the Mechrevo "Lobster Box" to create a native AI Agent terminal experience.

GLM-5-Turbo's core advantages

  • Base native optimizationFrom training data construction to target optimization design, the agent capabilities are deeply optimized at the base model layer, rather than relying solely on framework layer engineering adaptation.
  • Stable tool callsThe model enhances its ability to call external tools and various skills, ensuring uninterrupted calls and resolving the issue of unstable calls to general model tools.
  • Precise adherence to complex instructionsIt can more accurately understand and decompose complex, multi-layered, and long-link instructions, and supports target identification, step planning, and multi-agent collaboration.
  • Long-term reliable: Focus on optimizations for timed triggering and long-running scenarios, better understand the time dimension, and ensure that long tasks are not interrupted or slowed down.
  • High-throughput long-link executionIt improves execution efficiency and stability for tasks with large data throughput and long chains, and is suitable for long-term business processes.

Application scenarios of GLM-5-Turbo

  • Office efficiencyThe model can realize complex office automation processes such as cross-departmental meeting minutes organization, task distribution, cross-application data flow, and system API control.
  • Code developmentIt provides Coding Agent capabilities such as programming assistance, code generation, and long-chain code task processing.
  • Information gathering and data analysisThe model can perform network information retrieval, multi-source data integration, and in-depth analysis and processing.
  • Content creationThe model supports copywriting, multimedia content generation, and creative planning.
  • Scheduled and continuous tasksIt supports scheduled execution, 24/7 background continuous operation, and long-term monitoring and maintenance.