LLM API is a professional AI interface service platform that provides unified API interfaces to call mainstream language models like GPT, Claude, and Llama. Enterprise-grade API service helping developers quickly integrate AI capabilities.

How to get started with LLM API?

After registration, you will receive API keys. Use our SDKs or call RESTful APIs directly to complete LLM API integration in 5 minutes. Supports Python, Node.js, PHP and other languages.

Which AI models does LLM API support?

Our LLM API supports GPT-4o, GPT-4, Claude 3 Opus/Sonnet/Haiku, Llama 3, Mistral and other mainstream language models through unified API interface.

How does LLM API charge?

LLM API uses flexible pay-as-you-go pricing with free credits for trial. Professional plan at $1 per credit supports 500K calls/month. Enterprise plan offers custom solutions for large-scale API needs.

What is the difference between API services?

LLM API (Large Language Model API) is a unified interface service for language models. We provide standardized API interfaces for all mainstream AI models including GPT, Claude, and Llama.

10-Minute Quick Start with LLM API

From zero to hero, quickly master how to call ChatGPT, Claude, FLUX and other AI model APIs

Video Tutorial

5-minute video tutorial: From registration to your first API call

Four Steps to Get Started

Register Account

Visit the platform to register an account and get API access

Register with email or phone number
Complete email verification
Login to the console

Create API Key

Create your API key in the console

Go to API Keys management page
Click 'Create New Key'
Set key name and permissions
Securely save the generated key

Choose Model

Select the appropriate AI model based on your needs

ChatGPT (GPT-4o, GPT-3.5)
Claude (Claude 3.5 Sonnet)
Text-to-Image (FLUX, Stable Diffusion)
View model pricing and performance comparison

Send Request

Call model interface using API Key

Configure request headers and authentication
Build request body parameters
Send HTTP request
Process response results

Code Examples

Basic Call Example

curl https://api.example.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {
        "role": "user",
        "content": "Hello, please introduce yourself"
      }
    ],
    "temperature": 0.7
  }'