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

GLM-5-Turbo (codename: Pony-Alpha-2) is the product launched by Zhipu AI OpenClaw(Lobster)Agent scene-depth optimized base model. From the training stage, the model has been specially optimized for core capabilities such as tool invocation, complex instruction following, timing and continuous tasks, and high-throughput long links to solve the problem of general large models being prone to “stall” in real agent scenarios. GLM-5-Turbo ranked first among domestic models in the self-developed benchmark ZClawBench, and was highly praised by major manufacturers such as Alibaba, Byte, and Meituan. Model is now online Zhipu open platform, supports API calls and “lobster package” subscriptions, and is connected to hardware terminals such as the Mechanical Revolution “lobster box”.

Main functions of GLM-5-Turbo

• Tool call : The model strengthens the ability to call external tools and various Skills to ensure that the call is stable, reliable and unblocked.
• Follow complex instructions : The model can accurately understand and dismantle complex multi-layer and long-link instructions, and supports target identification, planning steps, and multi-agent collaboration.
• Scheduled and persistent tasks : Better understand the time dimension requirements, support scheduled triggering and long-running scenarios, and ensure that long tasks are not interrupted.
• High throughput long link execution : Optimized for tasks with large data throughput and long chains, improving execution efficiency and stability, and suitable for long-distance business processes.

How to use GLM-5-Turbo

• Official API access : Available through the Zhipu open platform BigModel Or Z.ai (api.z.ai) calls the API directly.
• Online experience : Available through AutoClaw client (https://autoglm.zhipuai.cn/autoclaw), Z.aiofficial website, Zhipu Qingyan APPor Web versionOnline experience.
• hardware terminal : The model has been connected to iSoftStone’s Mechanical Revolution Box and can be used through the Mechanical Revolution “Lobster Box” to create a native AI Agent terminal experience.

GLM-5-Turbo’s core advantages

• Base native optimization : From training data construction to optimization target design, agent capabilities are deeply optimized at the base model layer, not just relying on framework layer engineering adaptation.
• Tool calling is stable : The model strengthens the ability to call external tools and various Skills, ensuring that the call chain is not lost, and solving the problem of unstable call of general model tools.
• Follow complex instructions accurately : More accurate understanding and dismantling of complex multi-layer, long-link instructions, supporting target identification, planning steps, and multi-agent collaboration.
• Continuously reliable for long tasks : Focus on optimizing timing triggering and long-running scenarios to better understand the time dimension and ensure that long tasks are not interrupted or stalled.
• High throughput long link execution : Improve execution efficiency and stability for tasks with large data throughput and long chains, and is suitable for long-distance business processes.

GLM-5-Turbo application scenarios

• Office efficiency : The model can realize complex office automation processes such as cross-department meeting minute collection, task distribution, cross-application data flow and system API control.
• code development : Provides coding agent capabilities such as programming assistance, code generation, and long-chain code task processing.
• Information collection and data analysis : The model can complete network information retrieval, multi-source data integration and in-depth analysis and processing.
• content creation : The model supports copywriting, multimedia content generation and creative planning.
• Scheduled and continuous tasks : Supports scheduled trigger execution, 7×24-hour background continuous operation, and long-term monitoring and operation. ©