One key per app or environment
Create separate keys for development and production. Revoke one without interrupting the rest.
One API. Multiple models.
LLMFly AIOne API for leading language models.
Use GPT, Claude, Gemini, and other models with the OpenAI SDK you already know.
Not sure how to integrate?Quickstart→
Model Stack & Pricing
Official price vs. LLMFly AI price
Less API plumbing
Change models without rebuilding your app.
Keep one integration, then choose the model that fits each request.
Keep your OpenAI client
Set the LLMFly AI base URL and use a model ID from the catalog. Test any provider-specific feature before shipping.
See the rate before you call
Check input, output, and cache rates in the catalog, then trace each request in your usage history.
Quickstart
Make your first request.
You need a key, the LLMFly AI base URL, and a model ID from the catalog.
- 1Create an API key
Use a separate key for each application or environment.
- 2Set the base URL
Point your server-side OpenAI client to LLMFly AI.
- 3Choose a model
Copy its exact ID from the catalog and send a small test request.
Works with
Use it from your editor or backend.
Connect coding tools, automation scripts, and server applications without maintaining a separate integration for every model.
Claude CodeCodexCursorOpenAI SDKAnthropic SDKBackend APIs
Next steps
Explore LLMFly AI
Go directly to model selection, workload guidance, or developer documentation.
Model selection
Compare leading models
Review capabilities, context limits, and reference pricing across GPT, Claude, Gemini, and Grok.
Real workloads
Choose by task
Find candidate models and evaluation methods for coding, chatbots, agents, and reasoning.
Developer setup
Start calling the API
Follow authentication, model ID, SDK, error-handling, and copy-ready request guides.
FAQ
Before you make the first call.
What is LLMFly AI?
LLMFly AI gives you one OpenAI-compatible API for the models listed in its catalog.
Can I keep using the OpenAI SDK?
Yes for compatible models. Change the base URL, API key, and model ID, then test the features your app uses.
Which models are available?
Check the model catalog for the current list. Models and availability can change.
How am I charged?
Each model has its own input, output, and—when available—cache rates. Your usage history shows what each request consumed.
Does LLMFly AI store prompts or responses?
The published privacy policy will describe exactly what is logged and for how long. We will not claim zero retention without verified production controls.