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Microsoft is broadening the capabilities of its Microsoft 365 Copilot by integrating models developed by Anthropic alongside its existing offerings from OpenAI. This new partnership enhances the versatility of Copilot, allowing users greater flexibility as they navigate their productivity software.
As part of this expansion, the Anthropic models, specifically Claude Sonnet 4 and Claude Opus 4.1, have been tuned to cater to various business requirements within Microsoft 365. This integration allows users to choose the best model for their tasks, whether that involves conducting in-depth market research, analyzing emerging trends, or compiling detailed reports. The Researcher agent, a groundbreaking reasoning tool, can now be powered by either Anthropic’s advanced models or OpenAI’s latest technologies.
Additionally, the functionalities of Copilot Studio have been enriched with the inclusion of these Anthropic models. Users can now create customized agents that leverage Claude Sonnet 4 and Claude Opus 4.1 for complex reasoning tasks, automate workflows, and execute various functions with ease. The studio’s updated interface simplifies the process of selecting models, enabling a mix-and-match approach for different tasks depending on user needs.
For customers interested in these new capabilities, the rollout begins today through the Frontier Program for those with Microsoft 365 Copilot licenses who choose to participate. Administrators can activate this option within the Microsoft 365 admin center, facilitating an easy switch between the different models available.
Microsoft’s commitment to innovation remains steadfast, with plans to improve the functionality of Copilot further. The integration of Anthropic’s models is just the first step in a broader effort to equip users with cutting-edge tools designed to streamline their business processes and elevate their productivity. For ongoing updates and insights into generative AI and the future of work, Microsoft encourages users to engage with resources available through WorkLab.
