This AI agents 2026 exposure estimator is an interactive tool that maps your app's dependence on retiring OpenAI models. Tick your models and scale to see migration exposure — this AI agents 2026 check gives illustrative cost estimates only.
The retirement estimator maps your application's exposure to the October 23, 2026 OpenAI model shutdown: tick the models you depend on and your scale to see illustrative migration costs. Retired models return HTTP 404 with no fallback, so unmigrated calls fail hard — this tool shows where you stand.
On October 23, 2026, the OpenAI model retirement wave shut down API access to legacy models. Tick the models your app depends on, add any others, enter your monthly tokens — and get your exposure: what’s already dead, what’s at risk next, what it might cost to migrate, and where each retired model should go.
The October 23, 2026 retirees — check every one your code calls:
Used only for the regression-testing slice of the estimate.
First, inventory every place your code calls the retired model ID — backends, plugins, scripts, and low-code automations. Then map each ID to the vendor-recommended replacement and replay your own production samples before switching, since generations behave differently. Fine-tunes die with their base model and must be retrained. This page checks your stack against the schedule.
Retirement dates and recommended replacements are from OpenAI’s deprecations page, the vendor’s own published schedule: the April 22, 2026 announcement shut down API access to gpt-3.5-turbo-0125, gpt-4-0613, gpt-4-turbo, gpt-4o-2024-05-13, gpt-4.1-nano, gpt-image-1, o1, o1-pro, o3-mini, o4-mini and their fine-tunes on October 23, 2026. OpenAI’s substitutes: gpt-5.6-sol for the gpt-4 family, o1, o1-pro, o3-mini and gpt-4o-2024-05-13; gpt-5.6-terra for o4-mini and gpt-3.5-turbo; gpt-5.6-luna for gpt-4.1-nano; gpt-image-2.5-sunburst or gpt-image-2.5-flare for gpt-image-1. The next known wave, January 14, 2027, covers the gpt-4o, gpt-4o-mini and gpt-4.1 snapshots, with gpt-6-luna as the vendor-recommended path. (Summarized from public reporting of the official page: MadRobot, Digital Matters.)
This is exactly the job ModelMinder does automatically: it watches vendor deprecation pages and pings you the moment a model you depend on gets a shutdown date — before it’s a 3 a.m. incident.
On October 23, 2026, OpenAI shut down API access to gpt-4-0613, gpt-4-turbo, gpt-4o-2024-05-13, gpt-4.1-nano, gpt-3.5-turbo-0125, gpt-image-1, o1, o1-pro, o3-mini, o4-mini, and fine-tuned models built on those bases, per OpenAI’s deprecations page. The next wave lands January 14, 2027 (gpt-4o, gpt-4o-mini, gpt-4.1 snapshots).
On the shutdown date, API requests to that model ID start failing. In a queue or cron job that can look like silence until somebody notices the backlog. Fine-tunes die with their base model — they must be retrained on a supported base.
OpenAI’s deprecations page recommends gpt-5.6-sol for the gpt-4 family, o1, o1-pro, o3-mini and gpt-4o-2024-05-13; gpt-5.6-terra for o4-mini and gpt-3.5-turbo; gpt-5.6-luna for gpt-4.1-nano; and gpt-image-2.5-sunburst or flare for gpt-image-1. Always replay your own production samples before switching.
It is a transparent, illustrative formula shown on the page: a base migration effort per retired model (12 engineering hours at an illustrative $75/hr) plus a per-million-token regression-testing factor, plus a planning allowance for at-risk models. It is a planning number, not a quote.