GitHub Dumps Azure Endpoint – New Models API Takes Center Stage in 2025
GitHub just pulled the plug on its Azure endpoint—replacing it with a sleeker, faster Models API. The move signals a clear pivot toward next-gen infrastructure, leaving legacy cloud dependencies in the dust.
Why the switch? The new API promises lower latency, better scalability, and—let’s be honest—a chance to trim Azure’s licensing fees from the balance sheet. Because nothing accelerates innovation like cost-cutting under the guise of progress.
Developers win with streamlined workflows, while Microsoft’s cloud division quietly nurses another revenue dent. The tech giant’s shareholders? Probably too busy counting AI hype profits to notice.

GitHub has announced the deprecation of the Azure endpoint used for GitHub Models inference and embeddings, effective July 17, 2025. This decision aligns with the introduction of the GitHub Models API, launched on May 15, 2025, which provides a more robust, enterprise-ready solution for accessing GitHub-hosted models.
Transition to GitHub Models API
The new API, accessible via https://models.github.ai, offers comprehensive support, billing capabilities, and enhanced features tailored for enterprise users. As GitHub phases out the Azure endpoint, users are encouraged to transition to the new API to ensure continued access and functionality.
Timeline for Transition
While the Azure endpoint will continue to function temporarily, GitHub plans to remove support on October 17, 2025. After this date, all model inference requests must be routed through the new API to receive valid responses. The transition is crucial for users to maintain access to the latest features and accurate billing.
Guidance for Users
GitHub advises all users to migrate to the new API as promptly as possible to avoid disruptions. Detailed information about GitHub Models and the new REST API is available in the GitHub documentation. Additionally, users can participate in community discussions to influence future developments.
The transition marks a significant step in GitHub's efforts to enhance its AI model hosting services, offering users a more scalable and efficient platform.
Image source: Shutterstock- github
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