Model Library/AutoGLM Phone 9B Multilingual
AutoGLM Phone 9B Multilingual

AutoGLM Phone 9B Multilingual

zai-org/autoglm-phone-9b-multilingual
by Z.ai
Input price
$0.035/ M tokens
Output price
$0.138/ M tokens
Context window
64Ktokens
Max output
64Ktokens

Phone Agent is a mobile intelligent assistant framework built on AutoGLM, capable of understanding smartphone screens through multimodal perception and executing automated operations to complete tasks. The system controls devices via ADB (Android Debug Bridge), uses a vision-language model for screen understanding, and leverages intelligent planning to generate and execute action sequences. Users can simply describe tasks in natural language—for example, “Open Xiaohongshu and search for food recommendations.” Phone Agent will automatically parse the intent, understand the current UI, plan the next steps, and carry out the entire workflow. The system also includes: Sensitive action confirmation mechanisms Human-in-the-loop fallback for login or verification code scenarios Remote ADB debugging, allowing device connection via WiFi or network for flexible remote control and development

Features

Serverless API

Docs

zai-org/autoglm-phone-9b-multilingual is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.

Available Serverless

Run queries immediately, pay only for usage

Input$0.035 / M Tokens
Output$0.138 / M Tokens

  1. Get your API key

    Sign up and create a key to run the code below. The API is OpenAI-compatible.

    Log inGet your API key

  2. Make your first request

    The API is OpenAI-compatible: point any OpenAI SDK at the base URL and pass this model ID.

    Base URL
    https://api.novita.ai/openai
    Model ID
    zai-org/autoglm-phone-9b-multilingual
    API Endpoint
    chat/completions
    1from openai import OpenAI
2
3client = OpenAI(
4    api_key="<Your API Key>",
5    base_url="https://api.novita.ai/openai"
6)
7
8response = client.chat.completions.create(
9    model="zai-org/autoglm-phone-9b-multilingual",
10    messages=[
11        {"role": "system", "content": "You are a helpful assistant."},
12        {"role": "user", "content": "Hello, how are you?"}
13    ],
14    max_tokens=65536,
15    temperature=0.7
16)
17
18print(response.choices[0].message.content)