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Documentation Index

Fetch the complete documentation index at: https://docs.gmicloud.ai/llms.txt

Use this file to discover all available pages before exploring further.

Model ID 
Qwen/Qwen3.6-Plus

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API Usage

You can interact with the Qwen3.6 Plus model through various programming languages and methods. Below are examples showing how to use the model’s API.

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API Examples

Generate a model response using the chat endpoint of Qwen3.6 Plus.

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Shell

curl --request POST \
--url https://api.gmi-serving.com/v1/chat/completions \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer *************' \
  --data '{
  "model": "Qwen/Qwen3.6-Plus",
  "messages": [
  {"role": "system", "content": "You are a helpful AI assistant"},
  {"role": "user", "content": "List 3 countries and their capitals."}
  ],
  "temperature": 0,
  "max_completion_tokens": 500
}'

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Python

import requests
import json

url = "https://api.gmi-serving.com/v1/chat/completions"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer *************"
}

payload = {
    "model": "Qwen/Qwen3.6-Plus",
    "messages": [
        {"role": "system", "content": "You are a helpful AI assistant"},
        {"role": "user", "content": "List 3 countries and their capitals."}
    ],
    "temperature": 0,
    "max_completion_tokens": 500
}

response = requests.post(url, headers=headers, json=payload)
print(json.dumps(response.json(), indent=2))