LLMFly AI

Overview

LLMFly AI is a unified platform for accessing leading AI models including GPT, Claude, Gemini, and Grok through a single API. It provides OpenAI-compatible API endpoints and works with developer tools such as Codex, Claude Code, Cursor, and custom applications. Developers can manage separate API keys, compare model pricing, monitor usage, and switch between supported models without maintaining separate provider integrations.

Key Features

Unified API: Access GPT, Claude, Gemini, and Grok through a single API instead of maintaining separate provider integrations.
OpenAI-Compatible API: Continue using compatible OpenAI software development kits by changing the base URL, API key, and model ID.
Model Catalog: Browse available models, capabilities, context limits, model IDs, and pricing in one place.
Model Price Comparison: Compare input, output, and cache rates before sending traffic, then check actual usage in the usage history.
Separate API Keys: Create different keys for each application or environment, making usage tracking and key revocation easier.
Broad Developer Compatibility: Connect tools such as Claude Code, Codex, Cursor, Cherry Studio, automation scripts, and backend applications.
Workload-Based Model Selection: Compare models for coding, chatbots, AI agents, reasoning, document analysis, and structured data extraction.

Pros

One API for Multiple Models: Access GPT, Claude, Gemini, and Grok through one API instead of maintaining separate integrations.
Easy Setup: Developers using compatible OpenAI clients can switch by changing the base URL, API key, and model ID.
Clear Pricing: Compare model input, output, and cache rates before sending API traffic, then check charges in usage history.
Flexible Model Choice: Browse models by provider, capabilities, context limits, pricing, and workload.
Separate API Keys: Use different keys for apps and environments, with the option to revoke an individual key if needed.

Cons

Model Availability Can Change: The available models and model IDs depend on what LLMFly currently supports and what is available to your API key.
Compatibility Still Needs Testing: Provider-specific features such as tools, streaming, and structured output should be tested before production use.

Use Cases

AI App Developers: Connect multiple large language model providers through one API instead of maintaining separate integrations.
AI Agent Builders: Use different models for function calling, browser agents, and multi-step workflows.
Coding Teams: Build code generation, code review, and repository refactoring workflows with different models.
Chatbot Developers: Build customer support, retrieval-augmented generation, and multilingual chatbots using models matched to each workflow.
Document Processing Teams: Analyze long documents and turn unstructured content into structured JavaScript Object Notation.
Cost-Conscious Developers: Compare model rates and test real usage before choosing a model for production workloads.

Frequently Asked Questions

What is LLMFly AI?

LLMFly AI is an API relay that lets developers access supported AI models through a unified API. It supports OpenAI-compatible access for tools and applications that use compatible endpoints.

Which AI models can I use with LLMFly?

The model catalog includes models from providers such as OpenAI, Anthropic, Google, and xAI. Available models can change, so check Model Plaza for the models currently available to your API key.

Is LLMFly compatible with the OpenAI API?

Yes. For compatible routes, you can use an OpenAI-compatible endpoint and configure your API key and model ID. However, features such as tools, streaming, and structured output should be tested for your specific model and workflow.

Does LLMFly work with Claude Code?

Yes. Claude Code uses LLMFly's Claude/Anthropic-compatible configuration rather than the standard OpenAI-compatible /v1 setup.

Does LLMFly work with Cursor?

Yes. Cursor can connect through LLMFly's OpenAI-compatible configuration when the installed Cursor version supports a custom API endpoint.

How does LLMFly pricing work?

Charges depend on the model and its input, output, and applicable cache rates. LLMFly recommends checking Model Plaza for current platform pricing and your usage history for the actual amount charged.

Can I use one API key for multiple tools?

Yes, but LLMFly recommends using a separate key for each tool. This makes usage tracking easier and lets you disable an individual key if it is exposed.

Does LLMFly store prompts and responses?

LLMFly says prompts and responses are processed to provide the API service. Retention varies by data type and is described in its Privacy Policy.

What should I check before using a model in production?

Check the model ID available to your API key, pricing, context limits, supported endpoints, tools, streaming, structured output, and current availability. LLMFly also recommends testing representative requests and having a suitable fallback model.