Guide

How to Use Qwen API in English (Alibaba Cloud AI)

April 15, 2026 · 5 min read

Qwen (pronounced "chwen") is Alibaba's flagship AI model family. Qwen Plus rivals Claude Sonnet in quality, and Qwen Turbo is one of the cheapest capable models available. But accessing Qwen directly requires an Alibaba Cloud account with Chinese payment — until now.

Qwen Models Available

ModelPrice $/MContextBest For
Qwen Plus$0.13/$1.87128KFlagship, strong reasoning
Qwen Turbo$0.08/$0.31128KBudget, fast responses

Why Qwen?

  • Qwen Plus at $0.13/M input — 29x cheaper than GPT-5, comparable quality
  • 128K context window — process long documents easily
  • Excellent multilingual — best Chinese+English bilingual performance
  • Qwen Turbo at $0.08/M — cheapest capable model after GLM-4 Flash

Quick Start (5 minutes)

pip install openai

from openai import OpenAI
client = OpenAI(
    base_url="https://api.aipower.me/v1",
    api_key="YOUR_AIPOWER_KEY",
)

# Qwen Plus — Alibaba's flagship
response = client.chat.completions.create(
    model="qwen/qwen-plus",
    messages=[{"role": "user", "content": "Explain machine learning"}],
)
print(response.choices[0].message.content)

No Chinese account needed. Get your API key and 10 free calls at aipower.me.

GET STARTED WITH AIPOWER

16 AI models. One API. OpenAI SDK compatible.

Who should use AIPower?

  • • Developers needing both Chinese and Western AI models
  • • Chinese teams that can't access OpenAI / Anthropic directly
  • • Startups wanting multi-model redundancy through one API
  • • Anyone tired of paying grey-market intermediary premiums

3 steps to first API call

  1. Sign up — email only, 10 free trial calls, no card
  2. Copy your API key from the dashboard
  3. Change base_url in your OpenAI SDK → done
from openai import OpenAI

client = OpenAI(
    base_url="https://api.aipower.me/v1",  # ← only change
    api_key="sk-your-aipower-key",
)

response = client.chat.completions.create(
    model="auto-cheap",   # or anthropic/claude-opus, deepseek/deepseek-chat, openai/gpt-5, etc.
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

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