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GitHub Copilot Fusion Is GA: How to Choose Standard, High, or Max

The system routes and orchestrates models, while every model it uses is still billed at its standard rate

ENHE AI5 min2 views
GitHub Copilot Fusion Is GA: How to Choose Standard, High, or Max

Key takeaways

GitHub made Copilot Fusion generally available on October 28, 2026. Instead of choosing a model for each step, users select Standard, High, or Max effort while Fusion routes and orchestrates models through single-model, cascade, or critique workflows. Administrators control which models Fusion may use and whether it is the default. The feature is available across all Copilot plans in VS Code, the Copilot app, Copilot CLI, and JetBrains IDEs. Each model used is billed at its standard rate; paid plans receive a temporary 30% discount on model costs. This guide shows how to compare the three effort levels with one task, fixed acceptance criteria, elapsed time, and complete usage evidence.

Fusion can orchestrate models through single-model, cascade, or critique workflows.
Users choose Standard, High, or Max, while administrators control available models and defaults.
Every model used is billed at its standard rate, and the 30% discount is temporary.

By ENHE AI · 2026-10-30 · AI-assisted drafting and editorial checks.

Direct answer: Effort levels are not fixed model names

Selecting Fusion means selecting a routing and orchestration system. Standard targets daily work, High addresses more complex problems, and Max spends more compute on the hardest tasks. The actual model combination can vary with the task and organization policy.

Three orchestration paths and administrator control

Fusion may use one model, a cascade that escalates from a faster model, or a critique flow where one model produces and another reviews. Administrators decide which enabled models Fusion may call, set the default effort, and may disable a model for Fusion independently.

A work context related to this task, not a product interface or test result. Image: Unsplash.
A work context related to this task, not a product interface or test result. Image: Unsplash.

Compare all three levels with one task

Choose a medium task with an existing test, such as fixing a reproduced edge case. Fix the starting commit, prompt, and acceptance criteria, then run Standard, High, and Max. Record test success, unrelated changes, human corrections, elapsed time, and AI usage.

Billing, discounts, and preview migration

Every model Fusion calls is billed at its standard rate. The 30% model-cost discount for paid plans is temporary and should not define a long-term budget. Users previously on auto, HydraFusion, or HydraFusion Max transition to corresponding effort levels and should recheck defaults.

Frequently asked questions

Is Max always better?

No. It spends more compute and is worthwhile only when it consistently reduces errors or human work against fixed acceptance criteria.

Can Fusion bypass a model disabled by an administrator?

No. GitHub says Fusion only uses models enabled by the enterprise and organization.

Why this matters

A multi-model system changes the question from which model to how much effort a task deserves. It reduces manual switching, but makes task-level records of quality, time, and cost more important.

Related tools and reading

These pages support the same task, workflow, or risk boundary.

Conclusion

Use Standard as the baseline. Run all three levels on the same task, code state, and acceptance criteria, recording successful checks, human corrections, elapsed time, and actual usage. Reserve High or Max for tasks where the quality improvement consistently justifies additional cost.

What this means for everyday users

Every model Fusion calls is billed at its standard rate. The 30% model-cost discount for paid plans is temporary and should not define a long-term budget. Users previously on auto, HydraFusion, or HydraFusion Max transition to corresponding effort levels and should recheck defaults.

Related tutorials

Related reading

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