---
title: Z.ai: GLM 5 Turbo — Fast Agentic LLM | ModelsLab
description: Integrate Z.ai: GLM 5 Turbo for agentic tasks, tool calling, and 200K context. Generate complex workflows via API now.
url: https://modelslab.com/zai-glm-5-turbo
canonical: https://modelslab.com/zai-glm-5-turbo
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:02:47.126154Z
---

Available now on ModelsLab · Language Model

Z.ai: GLM 5 Turbo
Agents That Execute
---

[Try Z.ai: GLM 5 Turbo](/models/open_router/z-ai-glm-5-turbo) [API Documentation](https://docs.modelslab.com)

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](/models/open_router/z-ai-glm-5-turbo).

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 ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

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

FAQ

Common questions about Z.ai: GLM 5 Turbo
---

[Read the docs ](https://docs.modelslab.com)

### What is Z.ai: GLM 5 Turbo?

### How does Z.ai: GLM 5 Turbo API perform on benchmarks?

### What context window does z ai glm 5 turbo support?

### Is Z.ai: GLM 5 Turbo good for tool integration?

### When was Z.ai: GLM 5 Turbo released?

### What makes Z.ai: GLM 5 Turbo fast?

Ready to create?
---

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

[Try Z.ai: GLM 5 Turbo](/models/open_router/z-ai-glm-5-turbo) [API Documentation](https://docs.modelslab.com)

---

*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-04-15*