Built for Developers

AI API for Developers — One Key, 38+ Models, Zero Hassle

Tired of managing separate API keys, billing accounts, and SDK configurations for every AI provider? AI Token gives you one unified API to access all major Chinese LLMs. Switch models with a single parameter change.

What You Get

🔑 Single API Key

One key for all 38+ models. No juggling credentials across providers.

🔌 OpenAI Compatible

Works with OpenAI SDK, LangChain, LlamaIndex, LiteLLM, and more. Just change the base URL.

💰 Pay Per Token

No monthly commitments. Pay only for what you use. Starting at $0.02/1M tokens.

⚡ 99.9% Uptime

Enterprise-grade reliability with automatic failover and load balancing.

Works With Your Favorite Tools

Tool/SDKCompatibleSetup Time
OpenAI Python SDK✓ Full2 minutes
LangChain✓ Full5 minutes
LlamaIndex✓ Full5 minutes
Cursor IDE✓ Full3 minutes
Cline (VS Code)✓ Full3 minutes
LiteLLM✓ Full2 minutes
Claude Code✓ Full5 minutes

Model Switching Is One Line

# Same code, different models — just change the model name
models = [
    "deepseek-v4",         # Best quality
    "deepseek-v4-flash",   # Fastest & cheapest
    "qwen3-flash",         # Great all-rounder
    "qwen-max",            # Premium quality
    "glm-4-air",           # Ultra-cheap
    "kimi-k3",             # Long context
    "deepseek-r1",         # Complex reasoning
]

for model in models:
    response = client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": "Hello!"}]
    )
    print(f"{model}: {response.choices[0].message.content[:50]}...")

Developer-Friendly Features

Quick Start (Python)

from openai import OpenAI

client = OpenAI(
    api_key="your-key-here",
    base_url="https://eaf9553505eeb8f5-115-190-107-107.serveousercontent.com/v1"
)

# That's it — start building!
response = client.chat.completions.create(
    model="deepseek-v4",
    messages=[{"role": "user", "content": "Build me a REST API in Python"}],
    stream=True
)

for chunk in response:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")
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