What is GLM-5-Turbo
GLM-5-Turbo (codename: Pony-Alpha-2) is a base model launched by Zhipu AI, deeply optimized forOpenClaw(Lobster) Agent scenarios. From the training stage, the model has been specially optimized for core capabilities such as tool calling, complex instruction following, scheduled and persistent tasks, and high-throughput long-chain tasks, solving the problem of general large models easily "stalling" in real Agent scenarios. GLM-5-Turbo ranked first among domestic models in the self-developed benchmark ZClawBench, and received high praise from major companies such as Alibaba, ByteDance, and Meituan. The model is now available onZhipu Open Platform, supporting API calls and the "Lobster Package" subscription, and integrating with hardware terminals such as Mechanical Revolution's "Lobster Box".
Main features of GLM-5-Turbo
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Tool calling: The model strengthens its ability to call external tools and various Skills, ensuring stable and reliable calls without dropping the ball.
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Complex instruction following: The model can accurately understand and break down complex multi-layered, long-chain instructions, supporting goal identification, step planning, and multi-agent collaboration.
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Scheduled and persistent tasks: Better understands time-dimension requirements, supports scheduled triggering and long-running scenarios, ensuring long tasks are not interrupted.
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High-throughput long-chain execution: Optimized for tasks with large data throughput and long chains, improving execution efficiency and stability, suitable for long-range business processes.
How to use GLM-5-Turbo
- Official API access: You can call the API directly through the Zhipu Open Platform BigModel or Z.ai (api.z.ai).
- Online experience: You can experience it online through the AutoClaw Aolong client (https://autoglm.zhipuai.cn/autoclaw）、Z.aiofficial website,Zhipu Qingyan APPorweb version).
- Hardware terminal: The model has been integrated into iSoftStone's Mechanical Revolution Box, and can be used through Mechanical Revolution's "Lobster Box", creating a native AI Agent terminal experience.
Core advantages of GLM-5-Turbo
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Native base optimization: From training data construction to optimization objective design, Agent capabilities are deeply optimized at the base model level, not merely relying on framework-level engineering adaptation.
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Stable tool calling: The model strengthens its ability to call external tools and various Skills, ensuring calls do not drop the ball, solving the problem of unstable tool calling in general models.
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Accurate complex instruction following: More accurate understanding and breakdown of complex multi-layered, long-chain instructions, supporting goal identification, step planning, and multi-agent collaboration.
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Continuous and reliable long tasks: Focused optimization for scheduled triggering and long-running scenarios, better understanding the time dimension, ensuring long tasks are not interrupted or stalled.
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High-throughput long-chain execution: Improves execution efficiency and stability for tasks with large data throughput and long chains, suitable for long-range business processes.
Application scenarios of GLM-5-Turbo
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Office efficiency: The model can implement complex office automation processes such as cross-department meeting minutes organization, task distribution, cross-application data flow, and system API manipulation.
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Code development: Provides Coding Agent capabilities such as programming assistance, code generation, and long-chain code task processing.
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Information Gathering and Data Analysis: The model can perform online information retrieval, multi-source data integration, and in-depth analytical processing.
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Content Creation: The model supports copywriting, multimedia content generation, and creative planning.
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Scheduled and Continuous Tasks: Supports scheduled trigger execution, 24/7 continuous background operation, and long-term monitoring and operations.