PROVIDER ALTERNATIVE

Azure OpenAI alternatives: switch to LLMFly for lower model costs

Looking for an alternative to Azure OpenAI? 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

YOUR PROVIDER → LLMFly

Same model, same usage. What would LLMFly cost?

See your original cost, LLMFly cost and savings side by side. Rates are already filled in—just adjust your usage.

Shared usageDefault: 10M input + 1M output tokens

Azure OpenAI

Original platform$80.00
With LLMFly$24.00
Estimated savings $56.00−70%
Per million tokensInput / outputAzure OpenAI$5.00 / $30.00LLMFly$1.50 / $9.00

LLMFly group: ChatGPT(Codex) · Use the clients supported by this group

Sources and pricing scope

Global Standard · East US 2 · ShortCo · 2026-10-05

Plain text input/output inference only. LLMFly includes the group multiplier. Excludes caching, tools, taxes, top-up fees and negotiated discounts. Matching models does not imply identical APIs or service guarantees.

Original provider pricing ↗LLMFly model rates ↗
Full pricing details →

Estimates show USD inference costs for the same model within each card. Models may differ between cards. Codex / Claude Code groups require supported clients.

Choose a model and get started →
01

Why choose LLMFly as your Azure OpenAI 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.
02

How do I switch from Azure OpenAI 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.
03

What changes in my current client?

Review the SDK, endpoint, authentication and deployment name in your current code. Replace provider-specific values with the target platform's documented model ID and configuration; test tools, streaming and error handling independently.

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.

04

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: Azure OpenAI pricing ↗

Frequently asked questions

What can LLMFly replace in my Azure OpenAI 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.

Get started with LLMFly