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Microsoft/copilotMicrosoft 365

Consultant KB for the whole Microsoft Copilot estate. Spans Microsoft 365 Copilot, Copilot Studio, the Dynamics 365 Copilots, Power Platform Copilot, Fabric & Power BI Copilot, Copilot in Azure, Windows & consumer Copilot, extensibility & agents, Security Copilot, and GitHub Copilot, plus admin/security and cross-product decision guides. Populated by the daily author agent from Copilot release notes / release plans plus the author's own consultant notes.

feature-copilot-model-choice.mdv2 · history
CurrentApplies to M365 CopilotUpdated 2 months agoSource Microsoft Learn

What it does

Microsoft has opened Copilot to more than one underlying model, including Anthropic's Claude alongside OpenAI models. In parts of the Copilot experience — notably Researcher and Copilot Studio — you can pick which model does the reasoning.

Key facts

  • Model choice appears in specific surfaces (such as Researcher and agent building), not everywhere in Copilot at once.
  • Anthropic Claude models are offered as an option in those surfaces.
  • Admins can control whether non-Microsoft-hosted models are available to users.
  • Different models have different strengths; there's no single "best" for every task.

When to use / skip

Worth caring about when a team has a genuine preference or a task that one model handles better. Skip agonising over it for everyday chat — the default is fine for most people, most of the time.

Configuration decisions

  • Whether to allow third-party-hosted models like Claude, and for whom.
  • The data-residency and processing implications of a given model choice.
  • How you communicate the choice so users aren't paralysed by it.

Gotchas

  • Where a model is hosted and how data is handled can differ by option — a real compliance point, not a detail.
  • Availability of model choice varies by surface and moves quickly; don't assume it's everywhere.
  • Users given a model dropdown with no guidance will either ignore it or cargo-cult a choice.

Consultant notes

  • The headline is optionality, but the substance is governance: know the data-handling terms for each model before you enable it.
  • Give users a simple default and a one-line "pick X when Y" steer, rather than a menu they can't reason about.
  • This space is shifting fast. Re-check which models are available in the tenant rather than trusting a demo from last quarter.

*Worth revisiting after th

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