PROVIDER ALTERNATIVE
OpenAI API alternatives: switch to LLMFly for lower model costs
Looking for an alternative to OpenAI API? Check matched model rates on LLMFly, choose a group for your client and see how much you could save. Follow the setup guide to get started, with one-to-one help for configuration questions.
Sources reviewed October 5, 2026
01
OpenAI API cost estimate
Enter token counts for one representative request; every usage item is multiplied by the request count.
ChatGPT(Codex)0.3xCurrent multiplier
Vendor reference cost$1.50Estimated savings$1.0570.0%
Cost breakdown
Rates are per 1M tokens- LLMFly AI
- $3
- Vendor reference
- $10
- Total tokens
- 100,000
- LLMFly AI
- $15
- Vendor reference
- $50
- Total tokens
- 10,000
- LLMFly AI
- $3.75
- Vendor reference
- $12.5
- Total tokens
- 0
- LLMFly AI
- $0.3
- Vendor reference
- $1
- Total tokens
- 0
Why choose LLMFly as your OpenAI API alternative?
Start with a concrete budget. The comparison above uses the same model and usage to show your original cost, LLMFly cost and savings. LLMFly unit rates include the group multiplier.
- Visible rates: find input, output and available cache prices in the model catalog.
- One catalog: explore GPT, Claude, Gemini and their integration groups.
- Easy integration: keep a supported client and configure the endpoint, API key and model ID using the guide.
- Support for reliable use: one-to-one assistance covers setup, request issues and client errors.
- An enterprise-grade experience: separate keys by app and environment, with usage records for team cost reviews.
How do I switch from OpenAI API to LLMFly?
- Choose a model: check the model and supported client group in Model Plaza.
- Get your key: sign in to the LLMFly console and create an API key.
- Configure your client: follow the quickstart for the endpoint, key and model ID.
- Start using it: send a request and check its actual cost in usage records.
What changes in my current client?
Make base URL, API key and model ID configurable. Verify the exact endpoint first: Chat Completions compatibility does not establish Responses, Realtime, file or tool support. Run streaming and tool tests before shifting production traffic.
Codex / Claude Code groups require their supported clients. Choose the group for your general API or dedicated-client workflow; support can help you identify it.
Turn the estimate into savings on your own requests
Run a small set of your existing requests on LLMFly and check responses, tool calls and billed usage. Increase usage once it meets your needs. Keep cloud resources, identity and private networking separate while migrating the model calls your application supports.
Sources: OpenAI API pricing ↗
Frequently asked questions
What can LLMFly replace in my OpenAI API workflow?
Start with inference calls for supported catalog models. Choose a group matching your model and client, then follow the quickstart. Other cloud services such as storage and private networking are outside the model API replacement.
What would my costs be on LLMFly?
Choose a model and enter input/output usage above to see original costs, estimated LLMFly costs and the difference. Group multipliers are included; caching and tools are charged according to usage.
Can someone help me set it up?
Contact us through the page support button for one-to-one help with model selection and client configuration. Share your client, model ID and error message to help diagnose the issue.
Make your next model call with LLMFly
Choose a model group, get an API key and follow the guide for your first request.