How to Install & Use GLM-5 for Free

1. Why GLM-5 Matters Right Now

Let's skip the corporate talk. AI is getting incredibly expensive, and if you're a developer or a student, those monthly subscriptions add up fast. But what if I told you that one of the most powerful models on the planet—rivaling GPT-4 and Claude 3.5—is actually accessible for free?

Zhipu AI recently dropped GLM-5, and it’s a beast. It’s built on a Mixture-of-Experts (MoE) architecture, meaning it’s fast, smart, and handles massive codebases without breaking a sweat. If you want a free ai model for coding that actually works, this is where you start.

2. What exactly is GLM-5?

GLM stands for "General Language Model." GLM-5 is the latest iteration from Zhipu AI, and it’s specifically designed to handle "long-horizon" tasks. That's just a fancy way of saying it’s really good at following a complex plan over many steps without getting distracted or making things up.

Key details you should know:

• Architecture: MoE with 40 billion active parameters (744B total).
• Specialty: Systems engineering, math, and deep coding.
• License: Open-source under MIT (unrestricted commercial use).

If you want to automate coding workflows and build intelligent developer pipelines, learning how to integrate OpenClaw with Claude Code is a powerful first step. This combination enables automated code generation, debugging, and workflow orchestration. Follow our complete OpenClaw + Claude Code setup guide to get started quickly.

3. Ways to Access GLM-5 for Free

There are a few ways to get your hands on this model without touching your credit card:

• z.ai Chat: Immediate access via a web interface.
• BigModel API: 20 million free tokens for new developer accounts.
• Local Run: Download quantized weights and run it on your own hardware.

4. Method 1: Using GLM-5 Online (The Easiest Way)

This is where I suggest everyone starts. It’s the closest experience to ChatGPT but with the GLM engine underneath.

5. Method 2: Using the GLM-5 API for Free

This is where it gets exciting for devs. If you want to know how to use GLM-5 for coding projects in 2026, the API is your best friend. Zhipu AI currently gives 20,000,000 free tokens to new users on their BigModel.cn platform.

import requests

# Your free API key from BigModel.cn
API_KEY = "YOUR_KEY_HERE"
URL = "https://open.bigmodel.cn/api/paas/v4/chat/completions"

headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

data = {
    "model": "glm-5",
    "messages": [{"role": "user", "content": "Refactor this JS code to use async/await."}]
}

response = requests.post(URL, headers=headers, json=data)
print(response.json()['choices'][0]['message']['content'])

const axios = require('axios');

const getAIResponse = async () => {
  const result = await axios.post('https://open.bigmodel.cn/api/paas/v4/chat/completions', {
    model: "glm-5",
    messages: [{ role: "user", content: "Explain React hooks simply." }]
  }, {
    headers: { 'Authorization': 'Bearer YOUR_KEY_HERE' }
  });
  
  console.log(result.data.choices[0].message.content);
};

getAIResponse();

6. Method 3: Running GLM-5 Locally

If you have the hardware, this is the ultimate glm 5 setup guide. Since GLM-5 is MIT-licensed, you can download it and keep it forever.

ollama run glm5:8b-q4_K_M

7. GLM-5 vs GPT-4 latency and cost comparison 2026

Why choose GLM-5? Here is the cold, hard data on how it compares to the industry standard.

As you can see, if you want a cost-effective ai agents solution, GLM-5 is the winner. For a deeper look at the rivals, check out our comparison of Qwen 3.5 vs GPT-4 vs Claude 4.5.

8. Best Use Cases for GLM-5

From our testing at Cloudvyn, we've found it excels at:

• Repository-Scale Refactoring: Throwing 50 files at it and asking for a structural change.
• Native Multimodal Tasks: Showing it a UI screenshot and getting back the CSS.
• Building Private Agents: If you don't want your data leaving your server, local GLM-5 is perfect. See our guide on how to Build Your Own AI Agent for more.

Also, don't miss our breakdown of GLM-5 vs Kimi k2.5 if you're comparing regional leaders.

9. Things to Remember

While the use glm 5 api free credits are generous, they aren't infinite. Once you hit 20 million tokens, you'll need to pay or wait for new promotions. Also, setting it up locally still requires a solid understanding of Python and CUDA drivers.