GitHub Copilot Drops GPT-5.5 and Grok 4.5 on October 19 GitHub will retire six Copilot models on October 19, 2026, including GPT-5.5, GPT-5.4, GPT-5.4 mini, GPT-5 mini, Grok 4.5, and Gemini 3.7 Flash, according to a deprecation list GitHub published on September 18. GPT-5.5 and GPT-5.4 workloads move to GPT-5.6 Sol, which is limited to Pro+, Max, Business, and Enterprise plans, while the mini variants and Grok 4.5 map to GPT-5.6 Luna and Grok 4.6 respectively. Grok 4.5 was added to Copilot on July 28 and is being removed after 83 days, the third Copilot model retirement wave since September 1. GitHub is running its third Copilot model retirement wave in under two months. On October 19 , six more models go dark across all Copilot surfaces — Chat, inline edits, agent mode, and code completions. This batch hits the GPT-5.x family directly and includes a Grok model added barely two months ago. If your team has explicit model dependencies in any config file, you have 27 days to fix them. What’s Leaving on October 19 GitHub published the deprecation list on September 18 https://github.blog/changelog/2026-09-18-upcoming-deprecation-of-selected-github-copilot-models-in-mid-october/ . Six models going away, and their official replacements: | Retiring Model | Replacement | Minimum Plan | |---|---|---| | GPT-5.5 | GPT-5.6 Sol | Pro+, Max, Business, Enterprise | | GPT-5.4 | GPT-5.6 Sol | Pro+, Max, Business, Enterprise | | GPT-5.4 mini | GPT-5.6 Luna | Pro and above | | GPT-5 mini | GPT-5.6 Luna | Pro and above | | Grok 4.5 | Grok 4.6 | Pro and above | | Gemini 3.7 Flash | Gemini 3.8 Flash | Pro and above | Most of these are clean swaps with better successors already available. The Gemini and Grok upgrades are unambiguous improvements. The GPT-5.x replacements require a decision. Sol vs Luna: The Decision You Actually Have to Make The migration for GPT-5.5 and GPT-5.4 is not as simple as “use the new model.” GitHub’s replacement for the higher-tier GPT-5.x models is GPT-5.6 Sol https://github.blog/changelog/2026-07-09-openais-gpt-5-6-sol-terra-and-luna-are-now-available-in-github-copilot/ — available only on Pro+, Max, Business, and Enterprise. If your team is on a base Pro plan and was using GPT-5.5, Sol is not accessible to you. The fallback is GPT-5.6 Terra or GPT-5.6 Luna . For the mini variants GPT-5.4 mini and GPT-5 mini , GPT-5.6 Luna is the clear match. Luna is the lightweight tier of the 5.6 family — built for speed and cost efficiency, available across all Pro plans. At roughly 20x lower cost than Sol, teams that chose the mini models for responsiveness or cost control should land on Luna without hesitation. If you needed GPT-5.5’s quality ceiling and you’re on Business or Enterprise, Sol is the right move. It handles large-codebase analysis and long-running agent work better than any other model in the family. Getting the tier wrong — routing GPT-5.5 workloads to Luna to save cost — will be noticeable in output quality. Grok 4.5 Is Already Being Retired Grok 4.5 was added to Copilot on July 28. It’s being retired October 19. That’s 83 days. The model barely had time to appear in production configs before it’s getting removed. Its successor, Grok 4.6 https://github.blog/changelog/2026-08-14-grok-4-6-is-now-available-in-github-copilot/ , is a genuine upgrade — better sustained reasoning on long-horizon tasks — but the churn rate is worth noting. Any team that spent time evaluating and adopting Grok 4.5 is now doing that work again. What Admins Need to Check If you’re on Copilot Business or Enterprise, the replacements are likely already enabled through GitHub’s global default model policy https://github.blog/changelog/2026-08-26-global-model-policy-generally-available/ GA since August 26 . Under that policy, newly available GA models are on by default. You may already be set. If your organization has disabled the global default or explicitly blocked specific models, go to your enterprise’s AI controls tab and manually enable Sol, Luna, Grok 4.6, or Gemini 3.8 Flash before October 19. Three things to audit now: 1. VS Code settings.json — Check for github.copilot.chat.models entries with explicit model names 2. JetBrains plugin configs — Any Copilot model preferences set at the IDE level 3. CI/CD integrations — Scripts or workflows calling the Copilot API with a hardcoded model parameter The Pattern Is the Point This is the third Copilot model retirement wave since September 1. Six on September 1, four on October 2 still upcoming , and six more on October 19. GitHub is treating model versions like patch releases, not like infrastructure your team builds around. The practical takeaway: stop pinning specific Copilot model versions in production configs. Where GitHub allows it, use plan-level defaults or tier-based selection rather than naming a specific model. The models that exist today may not exist in 90 days.