Z.ai: GLM 5 Turbo
Agents That Execute
Build Agentic Workflows
Fast Inference
200K Token Context
Handles long-chain tasks with 744B MoE architecture, 40B active parameters.
Tool Calling
Multi-Step Execution
Decomposes complex instructions for OpenClaw agents and persistent operations.
Reasoning Mode
High-Throughput Tasks
Supports scheduled workflows and real-time streaming in Z.ai: GLM 5 Turbo API.
Examples
See what Z.ai: GLM 5 Turbo can create
Copy any prompt below and try it yourself in the playground.
Code Review
“Analyze this Python codebase for dependencies, flag cascading effects from changes, and suggest optimizations. Maintain full 200K context across turns.”
Task Planner
“Break down multi-step agent workflow: schedule data processing job, invoke tools for analysis, execute in OpenClaw with reasoning mode.”
Bug Fixer
“Fix bugs in this SWE-bench style code snippet using tool invocation and step-by-step reasoning. Output corrected code with explanations.”
Architecture Map
“Map dependencies in large codebase, identify architectural risks, and plan refactoring steps for Z.ai: GLM 5 Turbo model efficiency.”
For Developers
A few lines of code.
Agents live. Two calls.
ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.
- Serverless: scales to zero, scales to millions
- Pay per token, no minimums
- Python and JavaScript SDKs, plus REST API
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Z.ai: GLM 5 Turbo on ModelsLab.