Does Copilot Need Claude to Provide Good Answers?
Hello, guys.
This week I’ve been exploring something that, at first, looked like a small detail in Copilot, but quickly turned into a much bigger question. You might have noticed it already: Claude is now available in some Copilot experiences… but not in all of them.
That immediately made me wonder: Does Copilot actually need Claude to provide good answers?
The short answer is no. But as usual, the interesting part is not the answer—it’s the path to get there.
A Small Hypothesis
This whole topic actually started for me with a simple question: why is Claude present in the Cowork agent?
One possible explanation is that Anthropic has been investing heavily in similar “coworking” capabilities, and Microsoft is aligning with that direction.
I don’t have confirmation on this, so I treat it as a hypothesis. But it is one of those ideas that, once you see it, is hard to ignore.
Finding Claude in the Copilot Crowd
After testing different agents and scenarios, one thing became very clear to me. Copilot is not trying to replace GPT with Claude, nor is it moving away from one model to another.
Instead, what we are seeing is something more intentional: different models being used for different types of work.
Claude is not there to “fix” Copilot. It is there to enhance it.
Where Claude Shows Up
If you spend some time navigating through Copilot agents, you will notice a clear pattern. Claude is currently available in the Researcher and Cowork agents, and in Excel and PowerPoint agent modes. Nowhere else.
These two experiences are not designed for quick answers. They are built for deeper, multi-step tasks where reasoning matters more than speed.
In those contexts, you can even combine GPT and Claude in the same flow. This is where the system starts to feel more powerful, and honestly, this is where the magic happens.
And Where It Doesn’t
Now, if you move to other agents like Analyst or Idea Coach, things change. There is no option to select a model, no visible configuration, and no explanation.
The same applies to most standard Copilot experiences. The model is simply not something you can control there.
From a practical point of view, this tells us something important: GPT is still the default engine behind most interactions.
Custom Agents and Chat
Things are slightly different when you move into custom declarative agents or standard Copilot chat. In these cases, you can choose between different GPT modes, usually optimized for faster responses or deeper reasoning.
But even here, Claude is not part of the equation.
This reinforces the idea that its presence is not about general availability, but about very specific use cases.
Connecting the Dots
At this point, the question is no longer where Claude is available, but why it is limited to those specific scenarios.
To answer that, we need to stop looking at this as a feature decision and start looking at it from an architectural perspective.
Microsoft is clearly moving toward a model pluralism approach, where different models are used depending on their strengths. From a technical standpoint, I have to say it, I’m fascinated!!! This is a very smart direction.
The Part That Changes Everything
There is one detail that explains a lot of what we are seeing. Claude, developed by Anthropic, is not hosted within Microsoft’s infrastructure in the same way as GPT.
It operates outside Microsoft-managed environments and is treated as a subprocessor. This introduces a completely different set of considerations around compliance, data boundaries, and legal responsibilities.
When you look at it from this angle, the limited availability starts to make sense. It is not about enabling or disabling a feature. It is about controlling where and how that model can be safely used.
You can see the UI is ready to manage more subprocessors, so, maybe, more LLM models apart from Anthropic.
GPT vs Claude in Practice
From a practical point of view, the distinction between both models is also quite clear. GPT is fast, consistent, and predictable, which makes it ideal for most day-to-day scenarios.
Claude, on the other hand, shines in deeper reasoning tasks. It handles long context better and is more suitable for planning, validation, and multi-step processes.
This creates a natural division. GPT becomes the default workhorse, while Claude plays a more specialized role.
Why This Might Not Matter (to Most People)
Now, let’s take a step back and look at this from the user's perspective.
Does someone in HR care if the answer comes from GPT or Claude? Does someone in Finance even know what Claude is?
In most cases, the answer is no.
Users are not looking for models. They are looking for outcomes. They want good answers, fast responses, and reliable results.
A quick note from the trenches
This reminds me of something we have already seen before. Microsoft recently introduced support for Markdown in SharePoint and OneDrive.
From a technical perspective, it is a great addition. But in practice, most employees do not even know what Markdown is, so the feature ends up being invisible to them.
Conclusion
Microsoft is building a very powerful foundation with this multi-model approach. From an architectural point of view, it makes a lot of sense and opens the door to more advanced scenarios in the future.
At the same time, it raises an important question about where the focus should be.
Because at the end of the day, users do not care about model strategies. They care about whether the tool helps them do their job better.
Model pluralism is an architectural win—but a UX risk.
Are your users asking about models, or are they just expecting better answers?
Don’t forget to share the article with your friends and colleagues. Click on the heart if you liked it, or drop a comment and tell me what you think.
References
Agent Builder in Microsoft 365 Copilot: https://learn.microsoft.com/en-us/microsoft-365/copilot/extensibility/agent-builder
Build Agents with Agent Builder in Microsoft 365 Copilot: https://learn.microsoft.com/en-us/microsoft-365/copilot/extensibility/agent-builder-build-agents
Understand model changes in GPT 5.1+: https://learn.microsoft.com/en-us/microsoft-365/copilot/extensibility/declarative-model-migration-overview
Claude + GPT | Multi-model intelligence in Copilot: https://techcommunity.microsoft.com/blog/microsoftmechanicsblog/claude--gpt--multi-model-intelligence-in-copilot/4509773
Get started with Researcher agent in Microsoft 365 Copilot: https://learn.microsoft.com/en-us/microsoft-365/copilot/researcher-agent
Expanding model choice in Microsoft 365 Copilot: https://www.microsoft.com/en-us/microsoft-365/blog/2025/09/24/expanding-model-choice-in-microsoft-365-copilot/
Anthropic models will also be available in late May 2026, as the Microsoft roadmap tells, https://www.microsoft.com/en-US/microsoft-365/roadmap?filters=&searchterms=558440