A practical way to monitor model retirement dates across many providers.
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What is AI Model Overview?
AI Model Overview is a tracking resource that monitors the lifecycle status, deprecation dates, and shutdown dates of large language model offerings. It lists 493 models across 20 providers, including details such as pricing per million tokens and context windows, with each entry linked to the provider's own announcement page. The site highlights currently deprecated and retired models and flags those scheduled to shut down within the next 90 days.
How many models are deprecated, retired, or shutting down?
The platform tracks 32 models that are deprecated and 112 that are already retired, with 9 models currently scheduled to shut down within 90 days. This data helps teams plan for model retirements rather than discovering them unexpectedly when a call returns an error. Deprecated models can sit in limbo for months while still answering requests until the retirement date lands.
Who runs the business and when did it start?
The business is built and run by Digital Footprint, a small independent studio in the Netherlands, which launched the first public version in July 2026. It is not backed by, affiliated with, or endorsed by any of the model providers listed on the site. The team prioritizes coverage based on actual demand when new providers are requested.
How can a user get started with the free tools?
The platform is free to use for reading all 493 models, status updates, and source links without needing an account. An account is only required to get an API key for the REST API and MCP server, which costs nothing and takes a minute to set up. The free tier includes access to provider and lifecycle pages that are indexed and linkable.
How does the upcoming shutdowns feature work?
The upcoming shutdowns feature lists the nearest announced shutdown dates, such as Microsoft Azure AI Foundry's o3-pro shutting down on 2026-12-17 in 39 days. Every date comes from the provider's own announcement, and users can follow a model through to see the specific details. This allows teams to see what ends next before it happens.
How does the search interface function on the website?
The overview app allows users to search models as they type and use arrow keys to move through results before hitting enter to open one. The home page also includes a search bar that appears as you type, making it easy to find specific models quickly. This interface is designed to help users navigate the large number of tracked entries efficiently.
What are the current pricing tiers and future plans?
The pricing page states that everything on the site and in the overview app is free right now, with no card or trial clock required. The only feature intended to charge for later is the alert product, which will notify users about specific models their systems use. The free tier will not get worse when alerts launch; it is an addition, not a fence.
How can users provide feedback or request new providers?
The team wants to hear about a wrong lifecycle date, a provider they do not cover, or what users would want an alert to do. They prioritize coverage by actual demand and will publish the price for alerts when the feature is real. The contact email for these requests is [email protected].
What features are currently in development?
The overview app includes a saved model list feature that will allow users to be told rather than having to check manually. This feature is part of the alert product that is currently in development and will include email and webhook notifications. Users can also get advance warning ahead of a shutdown date, not just on the day itself.
How is AI Model Overview rated on Trustburn?
On Trustburn, AI Model Overview has a rating of 4.6 out of 5 based on 5 reviews.
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5 Reviews
From what is presented, this resource offers a solid way to keep track of model lifecycles across multiple providers. The emphasis on having a shared list of end dates helps prevent the situation where the person who chose the model is different from the person on call when it fails. It seems particularly useful for teams wanting to avoid unexpected downtime by having a clear view of what is shutting down in the near future.
The value proposition here is clear: knowing when a model will stop answering requests is crucial for maintaining stable production systems. The dataset covers a significant number of providers, and having the deprecation date as a primary field rather than a hidden footnote makes planning much easier. It correctly distinguishes between deprecated models that are still functioning and those already retired. However, the pricing information is noted as coming from an aggregator, which might not always reflect real-time changes as quickly as the official provider pages. Despite this minor reservation about the pricing source freshness, the core service of tracking lifecycle status is delivered effectively. The integration with MCP clients is a strong point for developers who want to query this data directly within their workflows. It addresses the common pain point where teams discover end dates too late during unexpected outages or migration windows.
This platform does exactly what it promises regarding tracking model status and retirement dates. The ability to see which models are deprecated or shutting down soon provides a clear view of the current landscape without needing to check each provider's site separately for updates.
Having all the deprecation dates in one place saves so much time compared to hunting through scattered changelogs and provider docs individually.
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About AI Model Overview
AI Model Overview is a tracking resource that monitors the lifecycle status, deprecation dates, and shutdown dates of large language model offerings. The site lists 354 models across 20 providers, including details such as pricing per million tokens and context windows, with each entry linked to the provider's own announcement page. It highlights currently deprecated and retired models and flags those scheduled to shut down within the next 90 days. The dataset is presented as a free reference, with a snapshot date noted on the site.
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