---
title: GLM 5 Fp4 — Agentic LLM | ModelsLab
description: Run GLM 5 Fp4 quantized model for coding and agent tasks via API. Generate complex reasoning outputs with 200K context now.
url: https://modelslab.com/glm-5-fp4
canonical: https://modelslab.com/glm-5-fp4
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:01:30.909382Z
---

Available now on ModelsLab · Language Model

GLM 5 Fp4
Quantized Power. Full Scale
---

[Try GLM 5 Fp4](/models/together_ai/zai-org-GLM-5-FP4) [API Documentation](https://docs.modelslab.com)

Run GLM 5 Fp4 Efficiently
---

NVFP4 Quantized

### 744B MoE Optimized

Activates 40B parameters per token in GLM 5 Fp4 for low-cost inference.

200K Context

### Handles Long Tasks

Processes massive codebases and documents with GLM 5 Fp4 model.

Agentic Coding

### Native Tool Calling

Supports function execution and planning via GLM 5 Fp4 API.

Examples

See what GLM 5 Fp4 can create
---

Copy any prompt below and try it yourself in the [playground](/models/together_ai/zai-org-GLM-5-FP4).

Code Refactor

“Refactor this Python function for efficiency, add type hints, and optimize for async execution. Original code: def fetch\_data(url): response = requests.get(url); return response.json()”

Agent Plan

“Plan steps to deploy a web app: select stack, write Dockerfile, set CI/CD pipeline, handle scaling with Kubernetes.”

SQL Query

“Write SQL query joining users and orders tables, filter by date range 2025-01-01 to 2026-04-01, group by user\_id, sum revenue.”

Debug Script

“Debug this bash script failing on loop: for i in {1..10}; do echo $i >> log.txt; done. Fix permissions and error handling.”

For Developers

A few lines of code.
GLM 5 Fp4. One API call.
---

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 GLM 5 Fp4
---

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

### What is GLM 5 Fp4?

### How does GLM 5 Fp4 API work?

### Is GLM 5 Fp4 model open source?

### GLM 5 Fp4 vs full GLM-5?

### Best GLM 5 Fp4 alternative?

### GLM 5 Fp4 LLM context length?

Ready to create?
---

Start generating with GLM 5 Fp4 on ModelsLab.

[Try GLM 5 Fp4](/models/together_ai/zai-org-GLM-5-FP4) [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*