- Single rate
LLMFly AI lets developers call GPT, Claude, Gemini, Grok, and other catalog models through one OpenAI-compatible API. Teams can keep their OpenAI SDK, change the base URL, select a catalog model ID, and send requests from editors, automation scripts, backend services, or agents. It also provides model comparisons, input/output/cache pricing, separate environment keys, and usage history.
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LLMFly AI
LLMFly AI lets developers call GPT, Claude, Gemini, Grok, and other catalog models through one OpenAI-compatible API. Teams can keep their OpenAI SDK, change the base URL, select a catalog model ID, and send requests from editors, automation scripts, backend services, or agents. It also provides model comparisons, input/output/cache pricing, separate environment keys, and usage history.
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What is LLMFly AI?
LLMFly AI provides a single OpenAI-compatible endpoint for calling models from OpenAI, Anthropic, Google, xAI, and other catalog providers. Developers can retain compatible OpenAI SDK integrations by changing the base URL, API key, and model ID. The catalog displays model capabilities, context limits, official reference prices, and LLMFly AI rates, including input, output, and cache pricing when available. Separate keys can be assigned to each application and environment, allowing leaked keys to be revoked independently. Usage history shows what each request consumed. The service supports integrations from Claude Code, Codex, Cursor, automation scripts, backend APIs, and server applications, with documentation covering authentication, model selection, errors, and request examples.
Who will use LLMFly AI?
- Software developers
- Backend engineers
- AI application builders
- Automation engineers
- Teams integrating language models
- Developers using Claude Code, Codex, or Cursor
How to use the LLMFly AI?
- Step1: Create an LLMFly AI account and generate an API key for the application or environment.
- Step2: Review the model catalog and compare capabilities, context limits, and input, output, and cache rates.
- Step3: Point your server-side OpenAI client to the LLMFly AI endpoint by changing the base URL.
- Step4: Add the LLMFly AI API key and paste the selected catalog model ID.
- Step5: Send a short, non-streaming test request and then configure the workload for production.
- Step6: Review usage history and revoke individual keys when needed.
Platform
- API
LLMFly AI's Core Features & Benefits
The Core Features
- OpenAI-compatible API endpoint
- Multi-provider model catalog
- GPT, Claude, Gemini, and Grok access
- Model capability and pricing comparison
- Separate API keys for apps and environments
- Usage history and request cost visibility
The Benefits
- Reuse compatible OpenAI SDK integrations
- Reduce provider-specific integration maintenance
- Compare rates before sending traffic
- Isolate development and production environments
- Revoke exposed keys without disabling other applications
- Connect editors, scripts, agents, and backend services
LLMFly AI's Main Use Cases & Applications
- Calling multiple language model providers from one application
- Building chatbots and AI agents
- Developing coding tools
- Running reasoning workloads
- Connecting automation scripts to language models
- Testing and comparing models before production deployment
LLMFly AI's Pros & Cons
The Pros
One OpenAI-compatible endpoint for multiple providers
Supports existing compatible OpenAI SDK clients
Model rates and capabilities are shown in one catalog
Separate keys support environment isolation
Usage history helps confirm request consumption
Works with editors, scripts, agents, and backend services
The Cons
Provider and model availability can change
Provider-specific features may require additional testing
The page does not describe a native mobile or desktop application
Prompt and response retention varies by data type and service requirements
LLMFly AI's Pricing
| Has free plan | No |
|---|---|
| Free trial details | |
| Pricing model | usage-based |
| Is credit card required | YES |
| Paid from | 0.006 USD |
| Has lifetime plan | No |
| Billing frequency |
Details of Pricing Plan
GPT-6 Astra - Cache read
0.3 USD per 1M tokensGPT-5.6 Sol - Input
1.5 USD per 1M tokens- Up to 272K tokens
GPT-6 Astra - Input
3 USD per 1M tokens- Single rate
GPT-6 Astra - Cache write
3.75 USD per 1M tokens- Single rate
GPT-5.6 Sol - Output
9 USD per 1M tokens- Up to 272K tokens
GPT-6 Astra - Output
15 USD per 1M tokens- Single rate
Discount:Save 70% on LLMFly AI ChatGPT (Codex) model rates compared with the official provider prices. (+25 more pricing options available on the pricing page)
For the latest prices, please visit: https://llmfly.ai/pricing/FAQs of LLMFly AI
LLMFly AI Company Information
- FLAMEWRIGHT TECHNOLOGIES LTD
How to install?
LLMFly AI Reviews
5/5
LLMFly AI's Main Competitors and alternatives?
OpenRouter
Portkey
LiteLLM
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