Zhipu AI: AutoGLM Phone 9B Multilingual

Multilingual visual model for operating smartphone interfaces and mobile agents

Model lab: Zhipu AI
Model family: glm

Model resources

Hugging Face

Modalitiestext, image → text

Context window65,536

Maximum output65,536

InputUSD 0.028 / 1M tokens

OutputUSD 0.1104 / 1M tokens

Try now

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to zhipuai/autoglm-phone-9b-multilingual.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "zhipuai/autoglm-phone-9b-multilingual"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

AutoGLM Phone 9B Multilingual API Pricing

Type	Price information
Input	USD 0.028 / 1M tokens
Output	USD 0.1104 / 1M tokens

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Performance trends

Throughput87.9 tok/sCurrent

Time to first token1.3 sCurrent

End-to-end latency7.0 sCurrent

Throughput

Current87.9 tok/s

Window average90.3 tok/s

Time to first token

Current1.3 s

Window average1.4 s

End-to-end latency

Current7.0 s

Window average7.5 s

Tail latency (P99)

Current17.9 s

Window average17.2 s

Prompt cache hit rate

Current31.2%

Window average22.5%

Error rate

Current0.0%

Window average0.1%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded

Availability100%Requests actually served

Error rate0%Share of failed requests

Served requests, hour by hour

24 hours agoNow

AutoGLM Phone 9B Multilingual Compare models

Model	Input price	Output price	Context window	Capabilities
AutoGLM Phone 9B MultilingualThis page	USD 0.028 / 1M tokens	USD 0.1104 / 1M tokens	65,536	Text output
GLM-5.3	USD 0.0632 / 1M tokens · Quantization fp4	USD 1.12 / 1M tokens · Quantization fp4	1,000,000	Text output · Reasoning · Tool calling
GLM-5.2	USD 0.24 / 1M tokens	USD 0.84 / 1M tokens	1,000,000	Text output · Reasoning · Tool calling
GLM-5.1	USD 0.36 / 1M tokens	USD 1.72 / 1M tokens	200,000	Text output · Reasoning · Tool calling
GLM-5V-Turbo	USD 0.96 / 1M tokens	USD 3.2 / 1M tokens	200,000	Text output · Reasoning · Tool calling

Model specifications

Input: text, image
Output: text
Context window: 65,536
Maximum output: 65,536
Release date: 2025-12-10
Attachments: Yes
Reasoning: No
Tool calling: No
Temperature setting: Yes
Open weights: Yes

Frequently asked questions

What is AutoGLM Phone 9B Multilingual for?

Multilingual visual model for operating smartphone interfaces and mobile agents

What inputs and outputs does AutoGLM Phone 9B Multilingual support?

Recorded inputs: text, images; outputs: text.

How is AutoGLM Phone 9B Multilingual priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.028 / 1M tokens; Output USD 0.1104 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for AutoGLM Phone 9B Multilingual?

Current model records list Context window 65,536 tokens; Maximum output 65,536 tokens.

What model parameter does the Quickstart use?

The example uses zhipuai/autoglm-phone-9b-multilingual. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.