Qwen3.6 系列文本模型

from openai import OpenAI

client = OpenAI(
    api_key="sk-your-api-key",
    base_url="https://api.apiyi.com/v1"
)

# Max-Preview：程式設計 Agent 主驅動
resp = client.chat.completions.create(
    model="qwen3.6-max-preview",
    messages=[
        {"role": "system", "content": "你是一個資深 Python 工程師，按規範返回 unified diff。"},
        {"role": "user", "content": "為下面這段程式碼補充型別註解並修復潛在 bug ..."}
    ]
)
print(resp.choices[0].message.content)

# Flash：影像 + 文本多模態輸入
resp = client.chat.completions.create(
    model="qwen3.6-flash",
    messages=[
        {"role": "user", "content": [
            {"type": "text", "text": "請用中文描述這張圖片的關鍵資訊"},
            {"type": "image_url", "image_url": {"url": "https://your-image-url.png"}}
        ]}
    ]
)
print(resp.choices[0].message.content)

# Plus：日常對話與中等複雜推理
resp = client.chat.completions.create(
    model="qwen3.6-plus",
    messages=[{"role": "user", "content": "用一句話介紹你自己"}]
)
print(resp.choices[0].message.content)

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'sk-your-api-key',
  baseURL: 'https://api.apiyi.com/v1',
});

const resp = await client.chat.completions.create({
  model: 'qwen3.6-plus',
  messages: [{ role: 'user', content: '用一句話介紹你自己' }],
});

console.log(resp.choices[0].message.content);

curl -X POST "https://api.apiyi.com/v1/chat/completions" \
  -H "Authorization: Bearer sk-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.6-max-preview",
    "messages": [
      {"role": "user", "content": "解釋一下什麼是 MoE 架構"}
    ]
  }'