z-ai/glm-4.5v
Model Card
GLM-4.5V is a 106B-parameter vision-language model achieving SOTA on 42 multimodal benchmarks, capable of image/video reasoning, GUI agent tasks, document parsing, and visual grounding. It features a thinking mode toggle and 64K multimodal context under MIT license.
Context Window N/A
tokens
Max Output 16K
tokens
Input Cost $0.6
per million tokens
Output Cost $1.8
per million tokens
Release Date Aug 11, 2025
API Usage Example
Add Z.AI: GLM 4.5V 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-4.5v"
}).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-4.5v"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
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Frequently Asked Questions
The Z.AI: GLM 4.5V 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 4.5V into any web app or Node.js project — no API keys, no backend, and no configuration required.
Z.AI: GLM 4.5V was created by Z.AI and released on Aug 11, 2025.
Z.AI: GLM 4.5V can generate up to 16K tokens in a single response.
| Price per 1M tokens | |
|---|---|
| Input | $0.6 |
| Output | $1.8 |
You can access the Z.AI: GLM 4.5V 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 4.5V 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 4.5V to your app without worrying about API keys or setup.
Read the Docs View Tutorials