Z.AI: GLM 4.6V Flash
z-ai/glm-4.6v-flash
Access GLM 4.6V Flash from Z.AI using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "z-ai/glm-4.6v-flash"
}).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-4.6v-flash"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="z-ai/glm-4.6v-flash",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "z-ai/glm-4.6v-flash",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
GLM-4.6V-Flash is a 9B-parameter vision-language model from Z.ai, the lightweight variant of the GLM-4.6V series. It supports a 128K-token context window and processes images, documents, charts, video frames, and text within a single request.
Its key differentiator is native multimodal function calling — images and screenshots can be passed directly as tool parameters, and visual tool outputs are consumed in the same reasoning chain. This bridges the gap between visual perception and executable action for multimodal agent workflows.
Best for latency-sensitive and cost-conscious applications that need vision-language capabilities: document understanding pipelines, UI-to-code conversion, visual QA, and multimodal agent loops. For maximum accuracy on complex visual reasoning, the full 106B GLM-4.6V model is available.
Context Window 128K
tokens
Max Output 32K
tokens
Input Cost $0
per million tokens
Output Cost $0
per million tokens
Input text, image, video, file
modalities
Tool Use Yes
Release Date Dec 8, 2025
Model Playground
Try GLM 4.6V Flash instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
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Frequently Asked Questions
You can access GLM 4.6V Flash 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.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add GLM 4.6V Flash to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0 |
| Output | $0 |
GLM 4.6V Flash was created by Z.AI and released on Dec 8, 2025.
GLM 4.6V Flash supports a context window of 128K tokens. For reference, that is roughly equivalent to 256 pages of text.
GLM 4.6V Flash can generate up to 32K tokens in a single response.
GLM 4.6V Flash accepts the following input types: text, image, video, file. It produces: text.
Yes, GLM 4.6V Flash supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the GLM 4.6V Flash 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 GLM 4.6V Flash to your app without worrying about API keys or setup.
Read the Docs View Tutorials