AI Models. Microsoft Copilot
Office / developer tools / enterprise

Microsoft Copilot

GPT-5.5 in M365, multi-model routing, SaaS licenses

Copilot is a family of AI assistants in Microsoft products: Copilot for 365 (~$30/user/mo) with GPT-5.5 and multi-model routing (including Claude Opus 4.8) built into Outlook, Excel, Teams and PowerPoint; GitHub Copilot (~$10-19/user/mo) for code in VS Code and JetBrains; Azure OpenAI Service for custom deployments. Trend: routing to the best model for the task instead of one universal LLM.

Verified: 2026-05-22

Purchase decision (when to choose / when to avoid)

Choose if...

  • You're in Microsoft 365 and want quick 'license-based' deployment (Outlook/Excel/Teams).
  • You have a developer team — GitHub Copilot delivers quick wins in IDE.
  • You want central management (SSO, SCIM, audit) and consistent IT governance.

Avoid if...

  • You don't use M365 — then it's usually overkill.
  • You need full model and prompt control (direct API is a better fit).

Cost in practice (scenarios)

Office team (M365)

Per-seat add-on + fast time-to-value.

  • Outlook/Excel/Teams
Dev team

GitHub Copilot Business/Enterprise per-seat; usually easy to calculate.

  • VS Code/JetBrains
  • code review
These are estimates/scenarios (not an invoice). Actual cost depends on context length, number of users, limits and retention policies.

Deployment / data / enterprise

Deployment channels

  • Microsoft 365 Copilot
  • GitHub Copilot
  • Azure OpenAI Service

Data policy

Training on data
Depends on product; in enterprise usually more restrictive.
Retention
Depends on product and tenant policies.
Data residency
Depends on M365/Azure region.
Greatest value when the company already lives in M365 — integrations are 'built-in'.

Enterprise readiness

Admin
Strong IT governance in M365/Azure.
SSO/SCIM
Yes (M365/Azure).
Audit
Yes (M365/Azure).
DPA
Yes (enterprise contracts).
Certifications
Broad certification portfolio in Microsoft ecosystem.
Best for companies wanting AI as part of their office suite and developer tooling.

Best use cases

  • organizations in the Microsoft 365 ecosystem (Outlook, Excel, Teams, PowerPoint, SharePoint)
  • developer teams (GitHub Copilot — autocomplete, code review, IDE chat)
  • companies deploying AI centrally via SaaS licenses — minimal IT overhead.

Strengths

  • Native integration with Office 365, Teams, SharePoint, OneDrive — zero additional configuration.
  • Multi-model routing: GPT-5.5, Claude Opus 4.8 and others — model selection per task.
  • Deploy 'like another license' — easy scaling, enterprise compliance (SSO, SCIM, audit log).

Weaknesses / risks

  • Strong dependency on Microsoft / Azure ecosystem — harder migration.
  • Less control over the base model than with direct OpenAI API; cost grows with user count.

Current models (examples)

  • GPT-5.5 (M365 Copilot); multi-model routing (Claude Opus 4.8, Gemini — depending on product).
  • GitHub Copilot (Claude models depending on availability; Fable 5 suspended since 06/12/2026); Azure OpenAI Service — custom deployments.

Alternatives (if this model doesn't fit)

OP
OpenAI
more prompt and API flexibility without M365 dependency
CL
Claude
long documents and safety
GE
Gemini
alternative in Google ecosystem