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Key Takeaways
- GitHub confirmed four Copilot retirements on October 2. The current support table removed them, and this article updates its previous checks on October 3.
- The October 2 confirmation recommends Claude Opus 5.5 for Claude Opus 4.7. The other three mappings and six October 19 mappings appear below; handle their deadlines separately.
- Scope covers Copilot Chat, inline edits, ask/agent mode and code completions. This is not a retirement notice for namesakes in ChatGPT, Codex or other services.
- Business and Enterprise must check global defaults and specific model policies. Kimi K3 is open-weight and excluded from global default enablement.
- Inventory pinned model references, permissions, representative tasks and current prices. A recommended replacement does not establish equivalent performance or unchanged cost.
- Changing IPs cannot repair retirement or policy restrictions. Investigate connectivity only with independent network errors.
Two dates and ten names: group by deadline first
GitHub's October 2, 2026 confirmation says Gemini 3.5 Flash, Gemini 3.6 Flash, Kimi K2.7 Code and Claude Opus 4.7 are retired. The first two map to Gemini 3.8 Flash, Kimi to Kimi K3, and Opus to Claude Opus 5.5. This newer confirmation updates the Opus 5 mapping in the September 3 advance notice; use the latest recommendation when migrating.
On September 18, GitHub separately announced six October 19 retirements: Gemini 3.7 Flash → Gemini 3.8 Flash; GPT-5.5 and GPT-5.4 → GPT-5.6 Sol; GPT-5.4 mini and GPT-5 mini → GPT-5.6 Luna; Grok 4.5 → Grok 4.6. Arrows show recommended replacements, not measured equivalence, automatic configuration rewrites or simultaneous permissions for everyone. Track each round separately so the later date is not applied to the earlier models.
Retirement is confirmed; now check your own configuration
The October 2 announcement changes the event from planned deprecation to confirmed retirement. As of October 3 Beijing time, the official overall supported-model table reviewed here no longer lists the four models, and retirement history records 2026-10-02. This article therefore removes its earlier observation that the support table still listed them. Official status and an organization's migration are separate: no organization login, selector check or call test was performed here, so this does not prove any organization completed its switch.
Record plan, organization, Copilot surface, IDE/extension version and whether model names are pinned. Administrators should check each replacement's model policy in Copilot model settings, then users should inspect selectors in supported clients. GitHub says retired models do not need manual removal but still requires workflow and integration updates; this does not mean every pinned configuration repairs itself.
If an old name remains visible, treat it as client state needing investigation, not an extension or guarantee of continued service. If a replacement is absent, check plan, client support and organization policy. If a pinned name fails, identify the effective configuration location. Preserve surface, version, time and original error, then test availability with a small task without external writes. For simultaneous failures across vendors, also check GitHub Status for an outage.
Inspect every Copilot experience, beyond the model selector
Both GitHub announcements concern Copilot experiences including Copilot Chat, inline edits, ask/agent mode and code completions. Also inspect GitHub.com, IDEs, Copilot CLI, cloud agent, Copilot app, repository instructions, scripts and internal templates for pinned names. Actual client model availability still varies by plan, version and policy. Do not extend GitHub's GPT-5.5 notice into a same-day ChatGPT, Codex or OpenAI API change.
Unattended jobs are easy to miss: interactive users change models while schedules or shared settings retain old references until the deadline. Inventory old model, date, recommended replacement, surface, configuration location, owner, last successful run and verification state. This is a preventive recommendation, not a failure observed by this site.
Business and Enterprise: check model policies before user migration
For the October 19 list, GitHub says recommended replacements automatically enable for Business and Enterprise using default model enablement, except when administrators disable the global default or a specific model. Check Gemini 3.8 Flash, GPT-5.6 Sol, GPT-5.6 Luna and Grok 4.6 individually in Copilot model policies. Separately check the October 2 replacements Gemini 3.8 Flash, Kimi K3 and Claude Opus 5.5.
No organization administrator login or account test was performed here. Public support does not guarantee a particular plan, client and organization policy has access. Administrators should inspect their own model policies, then authorized users should check selectors in their actual clients. Personal-account visibility cannot establish organization-wide access.
Check Kimi K3 separately. Current official default-enablement scope excludes open-weight models such as Kimi K3, which default off regardless of global Default availability. A global enabled setting does not substitute for Kimi K3's specific approval; verify explicit activation under the organization's actual policy.
Replacement is not equivalence: compare tasks and costs first
Official recommendations indicate candidates, not equivalent output, latency or tool behavior for your team. Fix representative tasks and compare code diffs, tool calls, human rework, latency and errors in a controlled scope. In particular, do not assume GPT-5.4 mini and GPT-5 mini become identical in cost or capability when replaced with Luna. This site ran no benchmarks, so this article ranks no model performance.
GitHub model and billing tables change. Check the actual plan, usage units and current rates at migration time. Preserve old/new prices, organization AI-credit snapshots and actual selected-model usage before budgeting. The October 2 Kimi replacement may also change costs. Publication-time prices are not a permanent contract, and switching models does not imply unchanged charges.
Migrate and verify each deadline separately
First search the four October 2 and six October 19 old names separately, recording surfaces and configuration precedence. Second have administrators check recommended replacement policies. Third change one model at a time in testing, without simultaneously changing prompts, permissions and networks. Fourth use identical samples for answers, completion, edits and agent tool chains. Fifth compare AI credits, latency, failure rates and human rework. Sixth switch by team or repository, completing an unattended run before each respective deadline.
For agents with external writes, cover reads, one write with an idempotency key, tool timeouts, permission denial, cancellation and reconciliation after unknown outcomes. Stop expansion immediately for repeated submissions, missed approvals, repository-rule violations or excessive costs. Do not experiment with more production tasks.
Failure, stopping and fallback: old models are not permanent rollback targets
The four models already retired October 2 should no longer be rollback targets. Do not treat temporary availability of October 19 models as a long-term guarantee either. Preserve prompt and tool-configuration snapshots and prepare another supported, policy-compliant model verified on representative tasks. Roll back to a reviewable working solution, not a withdrawn product.
Pause the path if replacements remain absent, policies repeatedly override local settings, critical quality regresses, AI credits exceed budget or agents duplicate side effects. Retain client, configuration source, model, time, original error and run ID. Do not automatically cycle through multiple models and lose attributable evidence.
Network boundaries and follow-up: retirement is not a connection failure
A model disappearing, organizational disabling, an invalid pinned name or unavailable replacement belongs to Copilot's product and permission layers. Changing IPs or proxies cannot restore it. Investigate networks only for independent DNS failures, TLS handshake errors, proxy 407, connection timeouts or unreachable services. PuppyIP's proxy connection failure checklist can help with those independent issues.
Before each deadline, recheck GitHub Changelog, supported models, client support and organizational policies. Update this same URL if GitHub changes dates, mappings, prices or scope. Without new official facts, one account's display cannot establish worldwide progress. This is a migration checklist, without organization-account login or production switching.
Sources
- GitHub Changelog: October 2 confirmation of four retirements and latest replacements
- GitHub Changelog: advance notice of four October 2 retirements
- GitHub Changelog: advance notice of six October 19 retirements
- GitHub Docs: Supported AI models in GitHub Copilot
- GitHub Docs: Models and pricing for GitHub Copilot
- GitHub Changelog: Default model enablement for Copilot Business and Enterprise
Frequently Asked Questions
When are the two Copilot retirement rounds?
GitHub confirmed four models retired on October 2, 2026. The other six remain scheduled for October 19. The later date is not an extension for the first four.
Which six retire October 19, and what replaces them?
Gemini 3.7 Flash maps to Gemini 3.8 Flash; GPT-5.5 and GPT-5.4 to GPT-5.6 Sol; GPT-5.4 mini and GPT-5 mini to GPT-5.6 Luna; Grok 4.5 to Grok 4.6.
How should the October 2 models migrate?
Gemini 3.5/3.6 Flash maps to Gemini 3.8 Flash, Kimi K2.7 Code to Kimi K3, and Claude Opus 4.7 to Claude Opus 5.5 under the latest October 2 confirmation. Also verify your plan, client and organization policies.
Does GitHub's GPT-5.5 notice also change ChatGPT or Codex?
That cannot be inferred. The September 18 notice covers GitHub Copilot experiences only; other products have their own announcements and dates.
Why might Business or Enterprise lack a replacement model?
If administrators disabled the global default or the individual model, check and enable the specific replacement in Copilot model policies. Also verify plan and client support; a particular organization cannot be assessed without account testing.
Can a fixed IP help when a model is unavailable?
It cannot repair retirement, organizational policy or product permissions. Network exits are relevant only with independent DNS, TLS, 407 or timeout evidence.
Does an old name remaining in the client mean retirement was delayed?
No. GitHub confirmed retirement October 2 and the support table reviewed October 3 was updated. One client's display is not a policy extension. Check client version, effective configuration and replacement permissions, preserving error evidence.