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title shortTitle intro versions allowTitleToDifferFromFilename contentType category redirect_from
Base and long-term support (LTS) models
Base and LTS models
Learn about base models, long-term support (LTS) models, and how they affect model availability for enterprises using {% data variables.product.prodname_copilot %}.
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copilot
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concepts
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/copilot/concepts/fallback-and-lts-models

About base models

Important

  • On March 18, 2026, {% data variables.product.github %} designated {% data variables.copilot.copilot_gpt_53_codex %} as the base model.
  • Base models apply only to {% data variables.copilot.copilot_business_short %} and {% data variables.copilot.copilot_enterprise_short %}.

A base model is the default AI model that {% data variables.product.prodname_copilot %} uses when no other models are enabled. The base model is automatically enabled for all {% data variables.copilot.copilot_business_short %} or {% data variables.copilot.copilot_enterprise_short %} accounts within 60 days after the model is designated as a base model.

When a new model is designated a base model, the following timeline applies:

Phase Timeline What happens
Announcement Day 0 {% data variables.product.github %} announces the new base model.
Upgrade window Day 0 to Day 60 Customers have 60 days to upgrade their IDE extensions to versions that support the new model.
Enablement Day 60 The new model is automatically enabled on all organizations and enterprises as the base model.

Note

The base model has a 1x premium request multiplier on paid plans. For more information about multipliers, see AUTOTITLE.

About long-term support (LTS) models

Important

  • On March 18, 2026, {% data variables.product.github %} designated {% data variables.copilot.copilot_gpt_53_codex %} as the LTS model.
  • LTS models apply only to {% data variables.copilot.copilot_business_short %} and {% data variables.copilot.copilot_enterprise_short %}.

An LTS model is an AI model that {% data variables.product.github %} commits to supporting for an extended period of one year from its designation date. During that period, the model remains available, which allows users to build around the model without concern that it will be {% data variables.release-phases.closing_down %} unexpectedly.

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