First API Call
Supported API Types
Xiaomi MiMo API Open Platform is compatible with OpenAI API and Anthropic API formats. You can use existing SDKs to access model inference services.
Preparation Before Calling
Log in to Xiaomi MiMo API Open Platform
Currently, the platform only provides personal account login. You need to use a Xiaomi account to log in. If you already have a Xiaomi account, you can log in directly. If you don't have a Xiaomi account, you can visit the Console to register, or register in advance at id.mi.com.
Obtain Credentials
Supports two usage methods, but the corresponding credential acquisition methods are different:
| Usage Method | Description | Acquisition Method (BASE_URL and API Key below are examples) |
|---|---|---|
| Pay-as-you-go MiMo API | Charged based on actual usage, suitable for light use |
Go to API Keys to create an API Key |
| Token Plan | Fixed subscription fee, with limited calls based on the package |
After successful subscription, go to Subscription to obtain the exclusive Base URL and API Key |
Please keep your API Key safe to avoid leakage that may result in quota theft. It is recommended to configure the API Key in environment variables.
Quick Integration Examples
You can copy the following API example code and replace the API Key value to quickly make calls. If you use the Token Plan, you need to replace the BASE_URL and use the dedicated API Key.
The following system prompts are HIGHTLY recommended, please choose from English and Chinese version.
Chinese version
你是MiMo（中文名称也是MiMo），是小米公司研发的AI智能助手。 今天的日期：{date} {week}，你的知识截止日期是2024年12月。
English version
You are MiMo, an AI assistant developed by Xiaomi. Today's date: {date} {week}. Your knowledge cutoff date is December 2024.
Python SDK Examples
OpenAI API Format Example
Install the OpenAI Python SDK by running the following command:
# If the run fails, you can replace pip with pip3 and run again
pip install -U openai
Call the API:
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ.get("MIMO_API_KEY"),
base_url="https://api.xiaomimimo.com/v1"
)
completion = client.chat.completions.create(
model="mimo-v2.5-pro",
messages=[
{
"role": "system",
"content": "You are MiMo, an AI assistant developed by Xiaomi. Today is date: Tuesday, December 16, 2025. Your knowledge cutoff date is December 2024."
},
{
"role": "user",
"content": "please introduce yourself"
}
],
max_completion_tokens=1024,
temperature=1.0,
top_p=0.95,
stream=False,
stop=None,
frequency_penalty=0,
presence_penalty=0
)
print(completion.model_dump_json())
Anthropic API Format Example
Install the Anthropic Python SDK by running the following command:
# If the run fails, you can replace pip with pip3 and run again
pip install -U anthropic
Call the API:
import os
from anthropic import Anthropic
client = Anthropic(
api_key=os.environ.get("MIMO_API_KEY"),
base_url="https://api.xiaomimimo.com/anthropic"
)
message = client.messages.create(
model="mimo-v2.5-pro",
max_tokens=1024,
system="You are MiMo, an AI assistant developed by Xiaomi. Today is date: Tuesday, December 16, 2025. Your knowledge cutoff date is December 2024.",
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "please introduce yourself"
}
]
}
],
top_p=0.95,
stream=False,
temperature=1.0,
stop_sequences=None
)
print(message.content)
Curl Examples
OpenAI API Format Example
curl --location --request POST 'https://api.xiaomimimo.com/v1/chat/completions' \
--header "api-key: $MIMO_API_KEY" \
--header "Content-Type: application/json" \
--data-raw '{
"model": "mimo-v2.5-pro",
"messages": [
{
"role": "system",
"content": "You are MiMo, an AI assistant developed by Xiaomi. Today is date: Tuesday, December 16, 2025. Your knowledge cutoff date is December 2024."
},
{
"role": "user",
"content": "please introduce yourself"
}
],
"max_completion_tokens": 1024,
"temperature": 1.0,
"top_p": 0.95,
"stream": false,
"stop": null,
"frequency_penalty": 0,
"presence_penalty": 0
}'
Anthropic API Format Example
curl --location --request POST 'https://api.xiaomimimo.com/anthropic/v1/messages' \
--header "api-key: $MIMO_API_KEY" \
--header "Content-Type: application/json" \
--data-raw '{
"model": "mimo-v2.5-pro",
"max_tokens": 1024,
"system": "You are MiMo, an AI assistant developed by Xiaomi. Today is date: Tuesday, December 16, 2025. Your knowledge cutoff date is December 2024.",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "please introduce yourself"
}
]
}
],
"top_p": 0.95,
"stream": false,
"temperature": 1.0,
"stop_sequences": null
}'
Make Multi-turn Tool Calls in Thinking Mode
During the multi-turn tool calls process in thinking mode, the model returns a reasoning_content field alongside tool_calls. To continue the conversation, it is recommended to keep all previous reasoning_content in the messages array for each subsequent request to achieve the best performance.
The requested example is as follows:
curl --location --request POST 'https://api.xiaomimimo.com/v1/chat/completions' \
--header "api-key: $MIMO_API_KEY" \
--header "Content-Type: application/json" \
--data-raw '{
"messages": [
{
"role": "assistant",
"content": "Hello! I am MiMo.",
"reasoning_content": "Okay, the user just asked me to introduce myself. That is a pretty straightforward request, but I should think about why they are asking this."
},
{
"role": "user",
"content": "What is the weather like in Hebei?"
}
],
"model": "mimo-v2.5-pro",
"max_completion_tokens": 1024,
"temperature": 1.0,
"stream": false,
"tools": [
{
"type": "function",
"function": {
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA"
},
"unit": {
"type": "string",
"enum": [
"celsius",
"fahrenheit"
]
}
},
"required": [
"location"
]
}
}
}
],
"tool_choice": "auto"
}'
Check Usage Information
On the Usage Information page, you can view and export detailed data of your account's model Token usage and request counts by date.