OpenAI API vs Azure OpenAI Service: Faster, Safer, or More Convenient?

Overview

This article summarizes the OpenAI API released by OpenAI and the OpenAI Service API provided by Microsoft Azure, aimed at developers who want advanced features and understand the differences between the two.

Basic Concepts

OpenAI API : Directly provided by OpenAI.

Azure OpenAI Service : OpenAI technology delivered through Microsoft Azure’s cloud infrastructure; configured via the Azure portal and accessed with Azure API keys.

Available Interfaces

OpenAI API

GPT‑4.0 – latest model capable of understanding and generating natural language and code.

GPT‑3.5 – modern model for natural language and code generation.

DALL‑E – generates and edits images from text prompts.

Whisper – speech‑to‑text model.

Embeddings – produces vector representations.

Codex – understands and generates code.

Moderation – detects sensitive or unsafe content.

GPT‑3 – older model for natural language tasks.

Azure OpenAI Service

GPT‑4.0

GPT‑3.5

GPT‑3.0

Embeddings

Codex

DALL‑E

Because Azure and OpenAI are separate companies, the service only includes the interfaces listed above.

Response Speed

OpenAI API : May be unstable at times.

Azure OpenAI Service : Generally stable and consistent.

Security

OpenAI API : Accessed over the public internet; API key leakage poses a significant risk.

Azure OpenAI Service : Uses Azure virtual networks; even if the API key is leaked, it remains safe as long as it is not placed in a public VPC.

Training Data Input

Both services have minimal impact on training costs.

Cost

Pricing is currently similar for both services, though additional Azure services may incur separate fees.

Usage and Release

OpenAI API : Open to developers, rapid release of new features and plugins, low entry barrier—only an API key is needed.

Azure OpenAI Service : Requires application and specific permissions to use.

Conclusion

In terms of response speed and security, Azure OpenAI Service has the advantage, while OpenAI API excels in ease of use. A common practice is to use Azure OpenAI Service for production development and OpenAI API for rapid prototyping.