GitHub Copilot Will Retire Six Models on October 19, 2026
Gemini 3.7 Flash, GPT-5.5, three GPT-5 variants, and Grok 4.5 are leaving Copilot, so teams should inspect pinned models and enterprise policy now.
Key takeaways
GitHub will retire six models across all Copilot experiences on October 19, 2026: Gemini 3.7 Flash, GPT-5.5, GPT-5.4, GPT-5.4 mini, GPT-5 mini, and Grok 4.5. GitHub recommends Gemini 3.8 Flash, GPT-5.6 Sol, GPT-5.6 Luna, or Grok 4.6 depending on the retired model. The removal covers Copilot Chat, inline edits, ask and agent modes, and code completions, so a model pinned outside the chat picker can still affect a workflow. Suggested alternatives may be enabled automatically for Business and Enterprise customers under default model enablement, but organizations that disabled the global default or explicitly blocked a model must review policy manually. This migration checklist focuses on finding pinned references, approving replacements, testing representative work, and communicating the change before the cutoff.
Direct answer
Search personal settings, repository instructions, organization policy, and automation for retired model names, then enable the suggested replacement. Compare quality, latency, and credit use on representative non-sensitive tasks before changing defaults.
What this means for everyday users
Record retired model, reference location, owner, replacement, policy state, test tasks, correctness, latency, credits, switch time, and fallback.
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Summary
Treat model retirement as a small migration: find pinned references, test replacements, then update defaults and documentation before the cutoff.
Sources
FAQ
What is this ENHE AI article about?
GitHub will retire six models across all Copilot experiences on October 19, 2026: Gemini 3.7 Flash, GPT-5.5, GPT-5.4, GPT-5.4 mini, GPT-5 mini, and Grok 4.5. GitHub recommends Gemini 3.8 Flash, GPT-5.6 Sol, GPT-5.6 Luna, or Grok 4.6 depending on the retired model. The removal covers Copilot Chat, inline edits, ask and agent modes, and code completions, so a model pinned outside the chat picker can still affect a workflow. Suggested alternatives may be enabled automatically for Business and Enterprise customers under default model enablement, but organizations that disabled the global default or explicitly blocked a model must review policy manually. This migration checklist focuses on finding pinned references, approving replacements, testing representative work, and communicating the change before the cutoff.
Why is this AI update worth watching?
Six Copilot models retire on October 19. GitHub provides a suggested replacement for each. Automatic default enablement does not apply to every enterprise policy. Pinned names in repositories and automation also need migration.
What does it mean for everyday AI users?
Record retired model, reference location, owner, replacement, policy state, test tasks, correctness, latency, credits, switch time, and fallback.
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