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To meet developers’ needs for the OpenAI API ecosystem, our API now supports the OpenAI API format. With simple configuration, you can integrate MiniMax capabilities into the OpenAI API ecosystem.

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Quick Start

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1. Install OpenAI SDK

pip install openai

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2. Configure Environment Variables

export OPENAI_BASE_URL=https://api.minimax.io/v1
export OPENAI_API_KEY=${YOUR_API_KEY}

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3. Call API

from openai import OpenAI

client = OpenAI()

response = client.chat.completions.create(
    model="MiniMax-M2",
    messages=[
        {
            "role": "system",
            "content": "You are a helpful assistant."
        },
        {
            "role": "user",
            "content": "Hi, how are you?"
        }
    ]
)
print(response.choices[0].message.content)

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Supported Models

When using the OpenAI SDK, the following MiniMax models are supported:
Model NameDescription
MiniMax-M2MiniMax-M2 launching on October 27th, stay tuned
For more model information, please refer to the standard MiniMax API documentation.

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Examples

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Basic Conversation

from openai import OpenAI

client = OpenAI()

response = client.chat.completions.create(
    model="MiniMax-M2",
    messages=[
        {
            "role": "user",
            "content": "Explain machine learning in simple terms"
        }
    ]
)

print(response.choices[0].message.content)

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Streaming Response

from openai import OpenAI

client = OpenAI()

stream = client.chat.completions.create(
    model="MiniMax-M2",
    messages=[
        {
            "role": "user",
            "content": "Write a poem about spring"
        }
    ],
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

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Tool Calling (Function Calling)

For more details, see MiniMax-M2 Function Calling Guide 
from openai import OpenAI

client = OpenAI()

tools = [
    {
        "type": "function",
        "function": {
            "name": "get_weather",
            "description": "Get weather information for a specified city",
            "parameters": {
                "type": "object",
                "properties": {
                    "city": {
                        "type": "string",
                        "description": "City name"
                    }
                },
                "required": ["city"]
            }
        }
    }
]

response = client.chat.completions.create(
    model="MiniMax-M2",
    messages=[
        {
            "role": "user",
            "content": "What's the weather like in Beijing today?"
        }
    ],
    tools=tools
)

print(response.choices[0].message)

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Important Notes

  1. Set OPENAI_BASE_URL to https://api.minimax.io/v1 when using
  2. Set OPENAI_API_KEY to your MiniMax API Key
  3. The temperature parameter range is (0.0, 1.0], recommended value: 1.0, values outside this range will return an error
  4. Some OpenAI parameters (such as presence_penalty, frequency_penalty, logit_bias, etc.) will be ignored
  5. Image and audio type inputs are not currently supported
  6. The n parameter only supports value 1
  7. The deprecated function_call is not supported, please use the tools parameter

Text Generation

Supports text generation via compatible Anthropic API and OpenAI API.

M2 for AI Coding Tools

MiniMax-M2 excels at code understanding, dialogue, and reasoning.

Compatible Anthropic API

Use Anthropic SDK with MiniMax models

MiniMax-M2 Function Calling Guide

AI models can call external functions to extend their capabilities.