GLM-5-Turbo is a specialized foundation model developed by Z.AI, designed specifically for OpenClaw agent workflows. This model has been deeply optimized from the training phase to excel in complex, dynamic, and long-chain tasks typical of real-world agent applications.
Key Features:
- OpenClaw Native Optimization: Systematically trained on real-world agent workflow scenarios
- Enhanced Tool Calling: Precise invocation of external tools and skills with improved stability
- Complex Instruction Following: Strong comprehension and decomposition of multi-layered, long-chain instructions
- Scheduled & Persistent Tasks: Better understanding of time dimensions and uninterrupted long-running tasks
- High-Throughput Long Chains: Faster and more stable execution for high-data workflows
- Technical Specifications: 200K context length, 128K maximum output tokens, text-only input/output
Capabilities:
- Thinking Mode with multiple options for different scenarios
- Streaming output for real-time interaction
- Function calling for external tool integration
- Context caching for long conversations
- Structured output (JSON) for system integration
- MCP support for external tool and data source integration
Use Cases:
- Complex agent workflows requiring precise tool invocation
- Long-chain business processes with scheduled execution
- High-throughput data processing tasks
- Integration with external systems via structured outputs
- Real-time interactive applications with streaming responses
Quick Start: The model supports multiple SDKs including official Python/Java SDKs and OpenAI-compatible interfaces, with comprehensive API documentation and code examples provided.
