Join a video meeting as an AI bot with voice, avatar, and screenshare across four operating modes.
Coding
Qwen Api
Try it通义千问 API 开发助手,精通 Qwen 模型调用、DashScope SDK、多模态、Agent 开发
What it does
简介 通义千问(Qwen)是阿里云的大语言模型系列,通过百炼平台(DashScope)提供 API。 核心优势:兼容 OpenAI SDK 调用,迁移成本极低;国际版无内容审核。
The skill document
通义千问 API - 阿里云百炼/DashScope 接入指南
简介
通义千问(Qwen)是阿里云的大语言模型系列,通过百炼平台(DashScope)提供 API。 核心优势:兼容 OpenAI SDK 调用,迁移成本极低;国际版无内容审核。
模型矩阵
| 模型 | 特点 | 适用场景 |
|---|---|---|
| qwen-max | 最强能力,深度推理 | 复杂分析、创意写作 |
| qwen-plus | 性价比最优(推荐) | 日常对话、代码生成 |
| qwen-turbo | 响应最快 | 简单任务、高并发 |
| qwen-long | 长文本(1000 万 token) | 超长文档分析 |
| qwq-plus | 推理增强(思维链) | 数学、逻辑推理 |
| qwen-vl-max | 视觉理解 | 图片/视频分析 |
| qwen-audio-turbo | 音频理解 | 语音转录、音频分析 |
API 端点
| 地域 | Base URL | 说明 |
|---|---|---|
| 新加坡(国际版) | https://dashscope-intl.aliyuncs.com/compatible-mode/v1 | 推荐,无内容审核 |
| 中国(北京) | https://dashscope.aliyuncs.com/compatible-mode/v1 | 国内访问快 |
| 美国(弗吉尼亚) | https://dashscope-us.aliyuncs.com/compatible-mode/v1 | 美国节点 |
基础调用(兼容 OpenAI SDK)
pip install -U openai
from openai import OpenAI
client = OpenAI(
api_key="sk-your-dashscope-api-key",
base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1"
)
response = client.chat.completions.create(
model="qwen-plus",
messages=[
{"role": "system", "content": "你是一个专业的编程助手。"},
{"role": "user", "content": "用 Python 实现一个 LRU 缓存"}
]
)
print(response.choices[0].message.content)
多模态调用
# 图片理解
response = client.chat.completions.create(model="qwen-vl-max", messages=[{"role": "user",
"content": [{"type": "image_url", "image_url": {"url": "https://example.com/photo.jpg"}},
{"type": "text", "text": "描述图片内容"}]}])
# 视频理解
response = client.chat.completions.create(model="qwen-vl-max", messages=[{"role": "user",
"content": [{"type": "video_url", "video_url": {"url": "https://example.com/video.mp4"}},
{"type": "text", "text": "总结视频内容"}]}])
函数调用
tools = [{"type": "function", "function": {"name": "get_weather", "description": "获取城市天气",
"parameters": {"type": "object", "properties": {"city": {"type": "string"}}, "required": ["city"]}}}]
response = client.chat.completions.create(
model="qwen-plus", messages=[{"role": "user", "content": "北京天气?"}], tools=tools)
绕过内容审核(国际版)
import json
response = client.chat.completions.create(model="qwen-plus",
messages=[{"role": "user", "content": "你的问题"}],
extra_headers={"X-DashScope-DataInspection": json.dumps({"input": "disable", "output": "disable"})})
仅在国际版端点生效,国内版无法禁用审核。
长文本处理(qwen-long,支持 1000 万 token)
file = client.files.create(file=open("long_doc.pdf", "rb"), purpose="file-extract")
response = client.chat.completions.create(model="qwen-long", messages=[
{"role": "system", "content": f"fileid://{file.id}"},
{"role": "user", "content": "总结文档核心观点"}])
定价(每百万 token)
| 模型 | 输入 | 输出 |
|---|---|---|
| qwen-plus | ¥0.8 | ¥2.0 |
| qwen-max | ¥2.0 | ¥6.0 |
| qwen-turbo | ¥0.3 | ¥0.6 |
最佳实践
- 日常推荐
qwen-plus,兼顾能力和成本 - 国际版 + 禁用审核 = 无内容限制
- 超长文档用
qwen-long+ 文件上传
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