z-ai/glm-4.5
Model Card
GLM-4.5 is Zhipu AI's flagship 355B-parameter open-source model (32B active) designed for agentic AI applications with dual thinking/non-thinking modes. It excels at reasoning, coding, and tool use, ranking 3rd globally among all models on combined benchmarks under MIT license.
Context Window N/A
tokens
Max Output 98K
tokens
Input Cost $0.6
per million tokens
Output Cost $2.2
per million tokens
Release Date Jul 28, 2025
API Usage Example
Add Z.AI: GLM 4.5 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-4.5"
}).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-4.5"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
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Frequently Asked Questions
The Z.AI: GLM 4.5 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 4.5 into any web app or Node.js project — no API keys, no backend, and no configuration required.
Z.AI: GLM 4.5 was created by Z.AI and released on Jul 28, 2025.
Z.AI: GLM 4.5 can generate up to 98K tokens in a single response.
| Price per 1M tokens | |
|---|---|
| Input | $0.6 |
| Output | $2.2 |
You can access the Z.AI: GLM 4.5 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 4.5 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 4.5 to your app without worrying about API keys or setup.
Read the Docs View Tutorials