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Z.ai: GLM 5 TurboAgents That Execute

Try Z.ai: GLM 5 TurboAPI Documentation

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
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about Z.ai: GLM 5 Turbo

Read the docs

Z.ai: GLM 5 Turbo is a 744B parameter MoE LLM optimized for agentic tasks. It excels in tool use, instruction decomposition, and 200K context handling. Use z ai glm 5 turbo model for OpenClaw workflows.

It leads on SWE-bench Verified and Terminal Bench 2.0 for coding agents. Outperforms peers in multi-step execution. Z.ai: GLM 5 Turbo alternative to Claude for agents.

Up to 205K tokens for long-horizon tasks. Enables persistent sessions without losing context. Ideal for z.ai: glm 5 turbo high-throughput jobs.

Built for seamless external tool calling and execution. Handles scheduled, persistent operations. Z.ai: GLM 5 Turbo LLM powers real-world agents.

Launched March 24, 2026 as Z.ai's agent-focused model. First closed-source from prior Pony-Alpha-2 tests. Access via Z.ai: GLM 5 Turbo API endpoints.

DeepSeek Sparse Attention and INT8 quantization reduce costs. Optimized for high-throughput long chains. Z.ai: GLM 5 Turbo model runs stable on complex jobs.

Ready to create?

Start generating with Z.ai: GLM 5 Turbo on ModelsLab.

Try Z.ai: GLM 5 TurboAPI Documentation