Z.AI: GLM 4.6V

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GLM-4.6V is a 106B vision-language model featuring native multimodal Function Calling—the first to directly pass images as tool inputs. It supports 128K context for processing 150+ page documents or 1-hour videos in a single pass.

Context Window 128K

tokens

Max Output 32K

tokens

Input Cost $0.3

per million tokens

Output Cost $0.9

per million tokens

Input text, image, video, file

modalities

Tool Use Yes

 

Release Date Dec 9, 2025

 

Output Speed 83

tokens / sec

Latency 1.21s

time to first token

Code Example

Add AI to your app with the Puter.js AI API — no API keys or setup required.

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms").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").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

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Frequently Asked Questions

How do I use GLM 4.6V?

You can access GLM 4.6V by Z.AI through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Is GLM 4.6V free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add GLM 4.6V to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for GLM 4.6V?
GLM 4.6V costs $0.3 per 1M input tokens and $0.9 per 1M output tokens.
Price per 1M tokens
Input$0.3
Output$0.9
Who created GLM 4.6V?

GLM 4.6V was created by Z.AI and released on Dec 9, 2025.

What is the context window of GLM 4.6V?

GLM 4.6V supports a context window of 128K tokens. For reference, that is roughly equivalent to 256 pages of text.

What is the max output length of GLM 4.6V?

GLM 4.6V can generate up to 32K tokens in a single response.

What types of input can GLM 4.6V process?

GLM 4.6V accepts the following input types: text, image, video, file. It produces: text.

Does GLM 4.6V support tool use (function calling)?

Yes, GLM 4.6V supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

How does GLM 4.6V perform on benchmarks?

GLM 4.6V scores 11.0 on the Artificial Analysis Intelligence Index, outperforming 42% of tracked models. On coding, it scores 11.1 (outperforms 26% of models). On math, it scores 26.3 (outperforms 27% of models).

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the GLM 4.6V 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.

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