AI
4/8/2026
2 min read

Difference Between OpenAI API Key and Azure OpenAI API Key

Difference Between OpenAI API Key and Azure OpenAI API Key

Developers can access AI models using two main platforms:

  • OpenAI

  • Azure OpenAI

Both provide access to similar AI models, but the way authentication and deployment work is different.

In this article, we will understand the difference between OpenAI API keys and Azure OpenAI API keys.

OpenAI API Key

OpenAI provides direct access to AI models through its own platform.

Developers can sign up on the OpenAI website and generate an API key.

Example platform:

https://platform.openai.com

Steps to Get OpenAI API Key

  1. Login to OpenAI platform.

  2. Go to API Keys.

  3. Click Create New Secret Key.

Example:

sk-xxxxxxxxxxxxxxxxxxxxxxxx

This key can be used directly with OpenAI APIs.

Example endpoint:

https://api.openai.com/v1/chat/completions

Azure OpenAI API Key

Azure OpenAI provides OpenAI models through Microsoft Azure infrastructure.

Instead of using OpenAI servers directly, the requests go through Azure services.

Azure OpenAI requires:

  • Azure resource

  • Model deployment

  • Endpoint

  • API key

Example API Key:

xxxxxxxxxxxxxxxxxxxxxxxx

Example Endpoint:

https://openai-demo.openai.azure.com/

Key Differences

OpenAI API

  • Hosted by OpenAI

  • Direct API usage

  • Simple setup

  • Single endpoint

Azure OpenAI

  • Hosted on Microsoft Azure

  • Requires resource creation

  • Requires model deployment

  • Uses Azure endpoint

When to Use OpenAI

Use OpenAI when:

  • You want quick setup

  • You are building prototypes

  • You want direct API access

When to Use Azure OpenAI

Use Azure OpenAI when:

  • You need enterprise security

  • You want Azure integration

  • Your organization already uses Azure cloud

  • You need regional deployment

Conclusion

Both OpenAI and Azure OpenAI provide access to powerful AI models.

OpenAI is easier for quick development, while Azure OpenAI is better suited for enterprise applications that require scalability, security, and integration with other Azure services.

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