Z.AI: AutoGLM Phone Multilingual
z-ai/autoglm-phone-multilingual
Access AutoGLM Phone Multilingual 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/autoglm-phone-multilingual"
}).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/autoglm-phone-multilingual"
}).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/autoglm-phone-multilingual",
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/autoglm-phone-multilingual",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
AutoGLM Phone Multilingual is a 9B-parameter vision-language model from Z.ai purpose-built for autonomous smartphone control. It takes a screenshot of a phone screen, interprets the UI through multimodal perception, and outputs precise actions — taps, swipes, text input — to complete multi-step tasks described in natural language.
The multilingual variant extends coverage beyond Chinese-optimized apps to English and other languages, making it suitable for international mobile automation workflows. Its architecture is based on GLM-4.1V-9B-Thinking, and it supports a 66K-token context window.
Ideal for developers building mobile testing pipelines, phone-based AI assistants, or cross-app automation agents. Devices are controlled via ADB (Android) or HDC (HarmonyOS), with the model callable through a standard chat completions API.
Context Window 4K
tokens
Max Output 4K
tokens
Input Cost $0
per million tokens
Output Cost $0
per million tokens
Input file, image, text, video
modalities
Tool Use Yes
Release Date Dec 11, 2025
Model Playground
Try AutoGLM Phone Multilingual 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 AutoGLM Phone Multilingual 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 AutoGLM Phone Multilingual 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 |
AutoGLM Phone Multilingual was created by Z.AI and released on Dec 11, 2025.
AutoGLM Phone Multilingual supports a context window of 4K tokens. For reference, that is roughly equivalent to 8 pages of text.
AutoGLM Phone Multilingual can generate up to 4K tokens in a single response.
AutoGLM Phone Multilingual accepts the following input types: file, image, text, video. It produces: text.
Yes, AutoGLM Phone Multilingual supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the AutoGLM Phone Multilingual 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 AutoGLM Phone Multilingual to your app without worrying about API keys or setup.
Read the Docs View Tutorials