POST /api/v1/chat/completions HTTP/1.1
Host: minimax-m2.com
Authorization: Bearer sk-live-...
Content-Type: application/json
 
{
  "model": "MiniMax-M2",
  "messages": [
    { "role": "system", "content": "You are a precise financial analyst." },
    { "role": "user", "content": "Summarize Q4 revenue trends for APAC." }
  ],
  "stream": false,
  "reasoning_split": true
}

curl https://minimax-m2.com/api/v1/chat/completions \
  -H "content-type: application/json" \
  -H "authorization: Bearer $MINIMAX_API_KEY" \
  -d '{
    "model": "MiniMax-M2",
    "messages": [
      { "role": "system", "content": "You are a precise financial analyst." },
      { "role": "user", "content": "Summarize Q4 revenue trends for APAC." }
    ],
    "reasoning_split": true
  }'

import fetch from 'node-fetch';
 
const response = await fetch('https://minimax-m2.com/api/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    Authorization: `Bearer ${process.env.MINIMAX_API_KEY}`,
  },
  body: JSON.stringify({
    model: 'MiniMax-M2',
    messages: [
      { role: 'system', content: 'You are a precise financial analyst.' },
      { role: 'user', content: 'Summarize Q4 revenue trends for APAC.' },
    ],
    reasoning_split: true,
  }),
});
 
const data = await response.json();
console.log(data.choices[0].message?.content);

import requests
 
headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json",
}
 
payload = {
    "model": "MiniMax-M2",
    "messages": [
        {"role": "system", "content": "You are a precise financial analyst."},
        {"role": "user", "content": "Summarize Q4 revenue trends for APAC."}
    ],
    "reasoning_split": True
}
 
resp = requests.post("https://minimax-m2.com/api/v1/chat/completions", json=payload, headers=headers)
resp.raise_for_status()
print(resp.json()["choices"][0]["message"]["reasoning_details"][0]['text'])
print(resp.json()["choices"][0]["message"]["content"])

from openai import OpenAI
 
client = OpenAI(
    base_url="https://minimax-m2.com/api/v1/",
    api_key="MINIMAX_API_KEY",
)
 
response = client.chat.completions.create(
    model="MiniMax-M2",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hi, how are you?"},
    ],
    extra_body={"reasoning_split": True},
)
 
print(f"Thinking:\\n{response.choices[0].message.reasoning_details[0]['text']}\\n")
print(f"Text:\\n{response.choices[0].message.content}\\n")

data: {"id":"chatcmpl-...","object":"chat.completion.chunk","choices":[{"index":0,"delta":{"content":"你好"}}],"model":"minimax-m2"}
data: {"id":"chatcmpl-...","object":"chat.completion.chunk","choices":[{"index":0,"delta":{"content":"你好"}}],"model":"minimax-m2"}
 
...
data: [DONE]