Understanding Azure OpenAI Deprecation and Retirement Correctly
Published:Dec 27, 2025 07:10
•1 min read
•Zenn OpenAI
Analysis
This article provides a clear explanation of the deprecation and retirement process for Azure OpenAI models, based on official Microsoft Learn documentation. It's aimed at beginners and clarifies the lifecycle of models within the Azure OpenAI service. The article highlights the importance of understanding this lifecycle to avoid unexpected API errors or the inability to use specific models in new environments. It emphasizes that models are regularly updated to provide better performance and security, leading to the eventual deprecation and retirement of older models. This is crucial information for developers and businesses relying on Azure OpenAI.
Key Takeaways
- •Azure OpenAI models have a lifecycle that includes deprecation and retirement.
- •Understanding this lifecycle is crucial for avoiding API errors.
- •Models are updated regularly for better performance and security.
Reference
“Azure OpenAI Service models are regularly updated to provide better performance and security.”