z-ai/glm-4-32b
Model Card
GLM-4-32B is a 32-billion parameter bilingual (Chinese-English) foundation model by Zhipu AI, pre-trained on 15TB of reasoning-focused data. It delivers performance comparable to GPT-4o on code generation, function calling, and Q&A tasks while remaining deployable on accessible hardware.
Context Window N/A
tokens
Max Output N/A
tokens
Input Cost $0.1
per million tokens
Output Cost $0.1
per million tokens
Release Date Mar 26, 2025
API Usage Example
Add Z.AI: GLM 4 32B to your app with just a few lines of code.
No API keys, no backend, no configuration required.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "z-ai/glm-4-32b"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "z-ai/glm-4-32b"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
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Frequently Asked Questions
The Z.AI: GLM 4 32B API gives you access to Z.AI's chat model through Puter.js. With just a few lines of JavaScript, you can integrate Z.AI: GLM 4 32B into any web app or Node.js project — no API keys, no backend, and no configuration required.
Z.AI: GLM 4 32B was created by Z.AI and released on Mar 26, 2025.
| Price per 1M tokens | |
|---|---|
| Input | $0.1 |
| Output | $0.1 |
You can access the Z.AI: GLM 4 32B API with just a few lines of JavaScript — no API keys, no backend, and no configuration required. Include the Puter.js library in your project and start making calls right away. For more details, check out our documentation.
Yes — the Z.AI: GLM 4 32B API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Get started with Puter.js
Add Z.AI: GLM 4 32B to your app without worrying about API keys or setup.
Read the Docs View Tutorials