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AI Launch Profile

GitHub Copilot Fusion

GitHub announced Copilot Fusion general availability on October 28, 2026, on all Copilot plans in VS Code, the Copilot app, Copilot CLI and JetBrains IDEs. Users update their client and select Fusion in the model picker. Available models and effort settings remain subject to plan and administrator policy.

Participants at the Undercity Hack Club hackathon at GitHub headquarters in San Francisco, photographed July 11, 2025.

Participants at the Undercity Hack Club hackathon at GitHub headquarters in San Francisco, photographed July 11, 2025. Historical GitHub location photograph; this is not the Copilot Fusion launch or a product demonstration. Cropped to 16:9 and resized to 1600×900; photographic content otherwise unchanged. Only the photographic crop is licensed under CC-BY-SA-4.0; that license does not cover this article. No photographer, participant or vendor endorsement is implied. Photo: Celesteroselli; CC-BY-SA-4.0; source photograph.

At a glance

Launch Snapshot

Company
GitHub
Launch date
October 28, 2026
Launch type
Major Update
Category
AI Developer Tools
Audience
Developers
Pricing
Each underlying model is billed at its standard rate with no separate Fusion charge. Official docs specify a 30% paid-plan model-cost discount through November 30, 2026. Multiple-model tasks can consume more credits.
Free plan
Not publicly confirmed
API
Not publicly confirmed
Open weights/source
Not publicly confirmed

Verification & Sources

Evidence state
Source-verified
Source links
2
Freshness
Checked October 30, 2026
Last verified
October 30, 2026
Last updated
October 30, 2026
What this evidence state means
Definition
The stated claim was checked against a named primary or authoritative source. This does not mean Kingy tested the product.
Required provenance
At least one public, named primary or authoritative source that directly supports the claim.
Owner
Kingy editorial reviewer
Freshness rule
Recheck within 30 days and after a material product, price, access, or source change.
Disputes and corrections
Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.

Key source checks

Suggest a correction

Form submissions, correction notes, score details, URLs, and analytics events may be stored for editorial review, spam prevention, product improvement, and follow-up. Do not submit secrets, unreleased financials, private customer data, or regulated personal data through these forms.

Kingy AI Take

GitHub Copilot Fusion gives existing Copilot users an orchestration option in supported clients. Confirm your plan’s models and effort settings, monitor credit use and review generated code.

Who it is for

Developers

What feels promising

Routing can reduce repeated manual model selection, while multi-model execution can consume more credits. Review the workspace changes and administrator policy as part of evaluating the feature.

What feels unproven

Kingy has not tested routing quality, latency or costs. The model pool and execution patterns can change. A discarded draft’s file edits are not automatically undone; review workspace changes before committing. Local-model routing is a separate public preview.

Editorial submissions and sponsor-fit reviews are separate. Payment does not influence Kingy scores, verdicts, rankings, evidence labels, or publication decisions.