GLM-5-Turbo
UnclaimedAn AI foundation model optimized for complex, dynamic, and long-chain agent tasks.
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What is GLM-5-Turbo?
GLM-5-Turbo (ai agents): An AI foundation model optimized for complex, dynamic, and long-chain agent tasks. GLM-5-Turbo is a powerful foundation model specifically engineered for OpenClaw scenarios, focusing on enhancing agent workflows. It excels in tasks requiring precise tool invocation, complex instruction following, and the management of timed and persistent operations. GLM-5-Turbo is paid-only, with most plans including a trial period. Buyers most often compare GLM-5-Turbo against OpenAI API, Cohere, Mistral AI.
TL;DR - GLM-5-Turbo
- Optimized AI foundation model for OpenClaw agent scenarios.
- Enhances tool invocation, instruction following, and long-chain task execution.
- Supports real-time streaming, structured output, and context caching for efficient agent workflows.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Deeply optimized for complex agent workflows and multi-step tasks.
- Significantly improved performance in OpenClaw scenarios compared to previous models.
- Robust capabilities for tool invocation and handling complex instructions.
- Supports long-running and high-throughput tasks with enhanced stability.
- Offers flexible thinking modes and real-time streaming for better user interaction.
Cons
- Pricing is token-based, which can become costly for very high usage.
- Requires integration with external tools and APIs, adding complexity for new users.
- Specific optimization for OpenClaw might limit its general applicability for other AI tasks.
Key Features
OpenClaw Native ModelTool Calling (Precise Invocation)Instruction Following (Enhanced Decomposition)Scheduled and Persistent TasksHigh-Throughput Long ChainsMultiple Thinking ModesStreaming OutputFunction Call capabilities
Pricing
Paid
GLM-5-Turbo offers paid plans. Visit their website for current pricing details.
About GLM-5-Turbo
By Toolradar Team·
GLM-5-Turbo is a powerful foundation model specifically engineered for OpenClaw scenarios, focusing on enhancing agent workflows. It excels in tasks requiring precise tool invocation, complex instruction following, and the management of timed and persistent operations. The model is designed to handle high-throughput and long logical chains, making it suitable for integration into real-world business processes.
This model is ideal for developers and organizations building sophisticated AI agents that need to perform multi-step tasks, interact with external tools, and maintain execution continuity over extended periods. Its core capabilities are systematically constructed based on real-world agent workflows, ensuring robust performance in dynamic environments.
GLM-5-Turbo is benchmarked against ZClawBench, an end-to-end evaluation system for agent tasks, demonstrating significant improvements over previous models in various categories like environment setup, software development, information retrieval, data analysis, and content creation.
How we evaluate tools →Source: docs.z.ai
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GLM-5-Turbo FAQ
What is the 'OpenClaw scenario' that GLM-5-Turbo is optimized for?
The 'OpenClaw scenario' refers to complex, dynamic, and long-chain agent workflows that involve tasks like environment setup, software development, information retrieval, data analysis, and content creation, often requiring interaction with external tools and persistent execution.
How does GLM-5-Turbo handle long-running or continuous tasks?
GLM-5-Turbo is specifically optimized for 'Scheduled and Persistent Tasks,' meaning it has a better understanding of time-related requirements and can maintain execution continuity during complex, long-running tasks, including those with scheduled triggers.
What is ZClawBench and how does it relate to GLM-5-Turbo?
ZClawBench is an end-to-end benchmark designed specifically for evaluating model performance in agent tasks within the OpenClaw ecosystem. GLM-5-Turbo has shown substantial improvements over previous models in OpenClaw scenarios when evaluated against ZClawBench.
Can GLM-5-Turbo integrate with external tools and data sources?
Yes, GLM-5-Turbo features 'Function Call' capabilities for powerful tool invocation and 'MCP Integration' to flexibly integrate external MCP tools and data sources, expanding its use cases and enabling interaction with various external systems.
What is the maximum context length and output tokens supported by GLM-5-Turbo?
GLM-5-Turbo supports a context length of 200K tokens and a maximum output of 128K tokens, allowing it to process and generate extensive responses for complex tasks.
Does GLM-5-Turbo support real-time interactions?
Yes, GLM-5-Turbo supports 'Streaming Output,' which enables real-time streaming responses to enhance the user interaction experience, making it suitable for applications requiring immediate feedback.
Source: docs.z.ai