GLM-Claw - Zhipu launches cloud-based OpenClaw | AI toolset based on GLM-5-Turbo.

GLM-Claw is launched by Zhipu based on GLM-5-Turbo OpenClaw is deployed on the cloud of the model, positioning it as a “growing AI life form”.It has strong natural language understanding, tool calling and task execution capabilities, and can handle complex tasks, such as automated deployment, data processing, content creation, etc.Supports multi-agent parallel driving, and can divide labor and collaborate to complete complex processes, such as research, coding, review and other tasks.It can be accessed through the Zhipu Qingyan platform or the OpenClaw framework, and supports the integration of chat tools such as Feishu. Users can interact with GLM-Claw through natural language instructions to realize task automation.

Main functions of GLM-Claw

• Multi-agent collaboration : A group of “AI shrimp soldiers” work together, divide labor and cooperate to complete complex tasks, and achieve the goal of “getting everything done”.
• Deep task understanding : Understand the real needs of users and have excellent intent recognition and context understanding capabilities.
• Tool calling and execution : Supports rich tool calls and can independently plan and execute multi-step task processes.
• Scheduled and persistent tasks : Supports scheduled triggering and long-term continuous task execution without continuous manual intervention.
• Long link task processing : Good at handling complex long-chain tasks and maintaining the coherence and accuracy of task execution.
• Enterprise-level security management : Provide unified scheduling, real-time visual monitoring, data localization storage and sensitive data encryption.

Key information and usage requirements for GLM-Claw

• Product positioning : A group of “AI shrimp soldiers” who understand you, a multi-agent collaboration platform that helps users get everything done
• Release time : Launched in March 2026, it is Zhipu’s intelligent agent solution specially designed for OpenClaw scenarios.
• underlying model : Based on the GLM-5-Turbo base model, it is specially optimized for Agent tasks from the training stage.
• core competencies : Deep task understanding, multi-agent collaboration, tool invocation, scheduled tasks, and long-link execution
• Performance : Ranked first among domestic models in the ZClawBench benchmark test, and won praise from major manufacturers such as Alibaba, Byte, and Meituan.
• business model : Subscription package (39 yuan/month experience card contains 35 million tokens, 99 yuan/month advanced card contains 100 million tokens)
• access channel : Can be used through Zhipu Qingyan APP/web version, Z.ai, AutoClaw computer or API (BigModel.cn / api.z.ai)
• Coding Plan support : The Max package is already supported, the Pro package will be supported this month, and the Lite package is expected to be supported in April.
• Enterprise deployment : Provide Claw for Enterprise Security system, supporting permission orchestration, real-time monitoring, data localization and manual approval nodes
• Payment standard : The API call price is input USD 1/million tokens and output USD 4/million tokens, which is increased by 20% compared with GLM-5.

GLM-Claw’s core advantages

• Agent native design : From the training stage, it is deeply optimized for agent scenarios, simple adaptation of non-universal models, and more professional capabilities such as tool calling, instruction following, and long-link execution.
• Multi-agent collaboration : “A group of AI shrimp soldiers” division of labor and collaboration model can handle complex multi-step tasks and achieve the goal of “getting everything done”.
• Top performance : Ranked first among domestic models in the ZClawBench benchmark test developed by Zhipu, and was recognized by major Internet companies such as Alibaba, Byte Coze, and Meituan for internal testing.
• Flexible subscription model : The launch of the 39 yuan/month experience card and the 99 yuan/month advanced card, lowering the threshold for use, consuming tokens on demand, and the price/performance ratio is better than pay-per-view.
• Enterprise-grade security : The Claw for Enterprise Security system provides unified scheduling, real-time monitoring, localized storage of data and full encryption of sensitive data.
• Omni-channel access : Supports multiple access methods of Zhipu Qingyan APP/web version, Z.ai, AutoClaw computer terminal and API, covering all scenarios from individuals to enterprises.

How to use GLM-Claw

• Zhipu Qingyan APP/web version :Download Clear words of wisdomAPP or visit the web version to directly experience GLM-Claw intelligent body service
• Z.ai platform : Via Zhipu Z.aiAccess the web page and use the smart agent function
• AutoClaw PC version :install AutoClawClient, call the GLM-Claw agent capability on the desktop
• API access : Developers can use the Zhipu open platform to BigModel Or api.z.ai calls the API to integrate the agent capabilities into your own applications.

Comparison of similar competing products of GLM-Claw

Competing products	Contrast Dimensions	GLM-Claw Advantages
ByteAnyGen	Performance	ZClawBench’s domestic model ranked first and received high praise from the Byte Coze team’s internal testing
Manus	Product positioning	”A group of AI shrimp soldiers” collaborates with multiple agents, emphasizing division of labor and cooperation to solve complex tasks
AutoClaw	underlying capabilities	Based on GLM-5-Turbo, it is specially optimized for OpenClaw scenes and is not a simple adaptation.

Application scenarios of GLM-Claw

• Daily office automation : Handle repetitive office tasks such as document organization, email reply, schedule arrangement, and meeting minutes.
• Collaboration on complex tasks : Multi-step project dismantling, “a group of AI shrimp soldiers” work together to complete the entire process of research, analysis, and execution.
• Scheduled task management : Automatically execute scheduled trigger tasks, such as data capture, report generation, reminder push and other continuous tasks.
• Long link process processing : Support cross-system, multi-link long chain tasks and maintain execution coherence and accuracy.
• Enterprise-level business scenarios : Meet the compliance requirements of industries such as finance, medical care, and government affairs through the Claw for Enterprise Security system.
• Develop integration scenarios : Developers embed agent capabilities into their own applications through APIs to build customized Agent solutions. ©