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Specimen No. 0969 · Habitat H1 · Models

OpenAI switches off gpt-image-1, o1, o3-mini, o4-mini and GPT-4 Turbo on 23 October

On Friday OpenAI's API retires a batch of older models announced in April, including gpt-image-1 and the o-series minis. Check your model strings today.

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Verified: OpenAI API deprecations page, 22 April 2026 block, read 21 October 2026.Only claimed: Nothing new is claimed; this is a dated schedule. Replacement choice is ours to test.
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OpenAI’s deprecations page lists a shutdown on 23 October 2026 for a batch of older models it announced on 22 April. After that date calls to them stop working. This is a different wave from the 28 September removal of the legacy completion models.

What goes, and what OpenAI suggests instead

Model (and aliases) Suggested replacement
gpt-image-1 gpt-image-2.5-sunburst or gpt-image-2.5-flare
o1-2024-12-17 (o1), o1-pro-2025-03-19 (o1-pro) gpt-5.6-sol (pro reasoning mode for o1-pro)
o3-mini-2025-01-31 (o3-mini) gpt-5.6-sol
o4-mini-2025-04-16 (o4-mini), ft-o4-mini-2025-04-16 gpt-5.6-terra
gpt-4-turbo, gpt-4-1106-preview, gpt-4-0613 (gpt-4) gpt-5.6-sol
gpt-4o-2024-05-13 gpt-5.6-sol
gpt-4.1-nano gpt-5.6-luna
gpt-3.5-turbo-0125 (gpt-3.5-turbo) gpt-5.6-terra

Fine-tuned models built on gpt-3.5-turbo, gpt-4, gpt-4.1-nano, babbage-002 and davinci-002 are removed on the same date.

Two things are easy to miss. First, the plain aliases go too: code that calls gpt-4, gpt-3.5-turbo, o1 or o3-mini without a date is affected. Second, only the May 2024 snapshot of GPT-4o is in this batch; the later gpt-4o and GPT-4.1 snapshots shut down on 14 January 2027, and the other GPT Image models (gpt-image-1-mini, gpt-image-1.5) on 1 December 2026, per the same page.

How to check

Search your code and config for the model names above, including environment variables and prompt or eval configs. OpenAI’s page notes that the List models endpoint returns an optional shutdown_date field for each model, so a quick script against GET /v1/models can flag anything with a date. The replacements are newer models with different behaviour and prices, so run your own tests rather than swapping strings blind.

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