BusinessFriday, July 10, 2026· 2 min read

GPT-5.6 Becomes the Preferred Model for Microsoft 365 Copilot

Source: OpenAI Blog

TL;DR

OpenAI says GPT-5.6 is now powering Microsoft 365 Copilot as its preferred model, bringing stronger AI capabilities into everyday productivity tools. The upgrade aims to help people work faster and produce higher-quality results across Word, Excel, PowerPoint, Chat, and Cowork.

Key Takeaways

  • 1GPT-5.6 is now the preferred model in Microsoft 365 Copilot.
  • 2The model supports productivity workflows across Word, Excel, PowerPoint, Chat, and Cowork.
  • 3Microsoft 365 users may benefit from faster drafting, analysis, presentation creation, and collaboration.
  • 4The update shows advanced AI becoming more deeply integrated into mainstream workplace software.

OpenAI’s GPT-5.6 is now the preferred model in Microsoft 365 Copilot, marking another major step in bringing advanced AI assistance into the tools millions of people use for work every day.

The model powers Copilot experiences across Word, Excel, PowerPoint, Chat, and Cowork, helping users move more quickly from ideas to polished documents, insights, presentations, and collaborative outcomes. For busy teams, that can mean less time spent on repetitive tasks and more time focused on judgment, creativity, and execution.

Why it matters

This is a practical AI win: rather than staying confined to demos or standalone chat interfaces, stronger AI capabilities are being embedded directly into familiar productivity software. That makes the benefits easier to access for workers and organizations already operating inside Microsoft 365.

  • Faster workflows: AI can assist with drafting, summarizing, organizing, and analyzing work.
  • Higher-quality outputs: Improved model capabilities can support clearer writing, better insights, and more polished deliverables.
  • Broad reach: Microsoft 365 Copilot brings advanced AI into widely used workplace apps.

As AI models continue improving, integrations like this show how the technology can become a practical productivity layer across modern knowledge work.

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