OpenAI Schedules Three GPT-5 API Models for Shutdown on April 1, 2027
The October 1 notice directs developers toward GPT-6 Sol and Luna. Deprecation starts now; loss of API access comes at the scheduled shutdown.
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The October 1 notice directs developers toward GPT-6 Sol and Luna. Deprecation starts now; loss of API access comes at the scheduled shutdown.
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Following its October 1, 2026 notice, OpenAI has set April 1, 2027 as the date three API models become inaccessible, making migration a scheduled compatibility task for developers. It recommends GPT-6 Sol for GPT-5.3-Codex and GPT-5.1, and GPT-6 Luna for GPT-5.4-Nano. Developers should test how applications behave on replacements before the deadline. Dedicated capacity may let some users retain access, but OpenAI describes it as a conditional option to explore with sales, not a blanket extension.
OpenAI’s minimum notice periods are six months for generally available models, three months for specialized variants such as Codex, and potentially two weeks for previews.
Deprecation begins when retirement is announced; shutdown means access ends, while a legacy model simply stops receiving updates.
OpenAI says it emails customers actively using a deprecated model and documents changes; safety or compliance concerns can require faster retirement with as much notice as reasonably possible.
OpenAI is giving developers six months to move off GPT-5.3-Codex, GPT-5.1 and GPT-5.4-Nano—not indefinite access to keep existing applications unchanged. An October 1, 2026 deprecation notice schedules all three models for removal from the API on April 1, 2027. The deadline turns OpenAI’s general retirement policy into a concrete migration task for software that relies on these models.
The announcement names a replacement for each retiring model. OpenAI recommends GPT-6 Sol for both GPT-5.3-Codex and GPT-5.1, and GPT-6 Luna for GPT-5.4-Nano. Developers are instructed to complete the move before the shutdown date, rather than wait until access disappears.
OpenAI describes the notice period as time to evaluate replacement models, test how applications behave and finish migrations. Its stated process therefore includes checking the replacement in an application, not merely identifying a new model name. The six-month interval is intended to leave room for that work before the old models become unavailable.
OpenAI lists gpt-6-sol as the recommended replacement for gpt-5.3-codex.
OpenAI lists gpt-6-sol as the recommended replacement for gpt-5.1.
OpenAI lists gpt-6-luna as the recommended replacement for gpt-5.4-nano.
The terminology matters. OpenAI considers a model deprecated as soon as it announces retirement. That status begins the retirement process; it does not mean the model has already been switched off. Shutdown is the point when the model or endpoint is no longer accessible. OpenAI uses “sunset” and “shut down” to mean the same thing.
“Legacy” is a different designation: it means a model or endpoint no longer receives updates. OpenAI uses that label to signal where its platform is heading and says legacy offerings should be expected to face deprecation eventually. This notice goes further than a legacy label because it supplies a specific end date.
All three models in this announcement receive six months’ notice. OpenAI’s broader model retirement policy sets different minimum periods depending on the type of model. It explicitly includes Codex models among specialized variants, a category with a shorter minimum than the window granted in this announcement.
Those minimums have an exception. OpenAI says safety or compliance concerns can require a faster retirement, in which case it will provide as much notice as reasonably possible. It also discourages using preview models for business-critical production work unless the customer can migrate on short notice. A preview’s shorter window is therefore a stated deployment constraint, not the timetable applied to these three retirements.
OpenAI says it emails customers actively using a model when it announces deprecation and records the change in its documentation. Its general process also includes blog posts for larger changes. The documentation is where developers can find the scheduled shutdowns and the company’s recommended replacements.
There is a possible exception to losing access at a model’s shutdown date, but it is conditional. OpenAI says developers may, in some cases, provision dedicated capacity for continued access and directs them to its sales team to explore that option. It does not present dedicated capacity as an automatic extension for everyone using a deprecated model.
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