MegaLLM Documentation
Universal AI Platform - 70+ Models, One API
MegaLLM Documentation
Welcome to MegaLLM - the universal AI platform that connects 70+ large language models through a single, powerful API.
One API, Unlimited Possibilities: Access GPT-5, Claude Opus 4.1, Gemini 2.5 Pro, and more models without juggling multiple providers.
What is MegaLLM?
MegaLLM is your "super-API" for AI. Instead of integrating with OpenAI, Anthropic, Google, and other providers separately, you get access to all their models through one unified interface.
Why MegaLLM?
- 🚀 Instant Model Switching: Change models with one parameter
- 🔄 Automatic Fallbacks: Never go down when one model fails
- 💰 Unified Billing: One invoice for all your AI usage
- ⚡ Zero Integration Overhead: Drop-in replacement for existing code
Quick Start
🎯 Models Catalog
Browse 70+ AI models with pricing and capabilities
⚡ Quick Start
Get your API key and make your first request
📚 OpenAI API
Use OpenAI-compatible endpoints with any model
🤖 Anthropic API
Access Claude models with Anthropic format
Core Features
🔄 Automatic Fallback
Ensure high availability with intelligent model switching
🔐 Authentication
Simple API key management and security
❓ FAQ
Frequently asked questions and troubleshooting
Who Uses MegaLLM?
👨💻 Developers
- Experiment with different models without rewriting code
- Reduce integration complexity from weeks to minutes
- Build more robust applications with automatic fallbacks
🏢 Businesses
- Ensure high availability for customer-facing AI features
- Optimize costs across multiple model providers
- Future-proof AI investments with provider flexibility
🔬 Researchers
- Access cutting-edge models as they're released
- Run comprehensive evaluations and benchmarks
- Test model performance across different tasks
Example: Switching Models
from openai import OpenAI
client = OpenAI(
base_url="https://ai.megallm.io/v1",
api_key="your-api-key"
)
# Try GPT-5 for complex reasoning
response = client.chat.completions.create(
model="gpt-5",
messages=[{"role": "user", "content": "Analyze this data..."}]
)
# Switch to Grok for code generation
response = client.chat.completions.create(
model="xai/grok-code-fast-1",
messages=[{"role": "user", "content": "Write a Python function..."}]
)
# Use Claude for creative writing
response = client.chat.completions.create(
model="claude-opus-4-1-20250805",
messages=[{"role": "user", "content": "Write a story about..."}]
)Popular Model Combinations
| Use Case | Primary Model | Fallback Models | Why |
|---|---|---|---|
| Chatbots | gpt-4o-mini | gpt-3.5-turbo, claude-3.5-sonnet | Fast, cost-effective |
| Code Generation | xai/grok-code-fast-1 | gpt-5, claude-3.7-sonnet | Specialized for code |
| Analysis | claude-opus-4-1-20250805 | gpt-5, gemini-2.5-pro | Best reasoning |
| Creative Writing | claude-opus-4-1-20250805 | gpt-5, claude-sonnet-4 | Creative excellence |
Getting Started
Ready to get started? Head to our Quick Start guide to make your first API call in minutes.
3-Step Setup
- Get API Key: Sign up and get your MegaLLM API key
- Choose Format: Use OpenAI or Anthropic API format
- Start Building: Make your first request to any of 70+ models
Need Help?
- 📖 Browse our guides: Comprehensive documentation for every feature
- 💬 Check the FAQ: Common questions and solutions
- 📧 Contact support: support@megallm.io for technical assistance
- 🔍 Use search: Press Cmd+K to search all documentation