GPT-5 Chat & Reasoning vs Copilot Researcher Agent

With all the new AI models in Microsoft Copilot along with the first party agents that serve spefici functions, it can be confusing to know which tool to use for the right task. Microsoft have two specific agents within the Microsoft 365 Copilot domain Researcher and Agent designed to carry outr specific functions. We also now have GPT-5 (now also baked into Copilot) which brings the new “smart” mode, allowing it to switvch between languiage models based on the task at hand.

In this blog, I aim to break down the three tiers of Copilot capability— GPT-5 Chat, GPT-5 Reasoning (also known as Smart mode), and Researcher and to look at the differences, similarities and what is best for what!


GPT-5 Chat: Fast, Friendly, and to the Point

Best for:

  • General Chat and Quick Q&A
  • Content Summarisation
  • Creative brainstorming

How it thinks:
Chat mode is is your rapid-fire assistant. It delivers supoer quick responses to youur questions without deep analysis. This is ideal for when you need an answer or exmplanation, clarity on something and anything not requiring deep thinking, reasoning or complexity.

Example prompt:

“Write a short social post abou the latest updates to [product].”

When to use it:
When you want brevity, speed, and a touch of flair. Think elevator pitches, tweet-length summaries, or light creative riffs.


GPT-5 Reasoning: Structured Thinking for Strategic Tasks

Best for:

  • Logical analysis
  • Problem-solving
  • Multi-step planning such as building a travel itinery, project plan or talk track

How it thinks:
This mode (which GPT-5 will switch too automatically if needed), rolls up its sleeves and gets analytical. It’s designed for tasks that require synthesis, deep exploratory analysis, structured responses and a more strategic (deep thinking) response.

Example prompt:

“Let’s walk through this problem together: I need to launch a new product with a limited budget and a small team to appeal to an already crowded market. What’s the best strategy?”

Use it when:
You’re building timelines, weighing trade-offs, or need a coherent plan that holds up under scrutiny.


Copilot Researcher Agent: Deep Dives and Source-Backed Intelligence

Best for:

  • Comprehensive research and reports
  • Source comparison and opinioning
  • Insight generation

How it thinks:
Researcher mode is a custom build agent from Microsoft specifically designed to work in a recursive, self evaluation and exhaustive approach. It pulls from multiple sources which it compares and contrats against one-another, compares methodologies, and identifies gaps. This is design for for thought leadership, academic-style or research style analysis, or strategic decision-making with different view points.

Example prompt:

“Find and summarise studies on the effects of remote work on productivity. Compare methodologies and results, looking at pro’s cons, impact on society, well-being, productivity and trends across different EU regions.”

Use it when:
You need more than just an answer. You want to combine different view, present the otput in a particular way and when you need comprehenisive evidence, nuance, and a narrative that stands up to boardroom or peer review.


Which One When?

There is no definitiave answer to this, but based on my usage and infomration I have read in the field, guidance from OpenAI, Microsoft and others, this table provides a guide to which mode would work best in the scenaios below

Task TypeUse GPT-5 ChatUse GPT-5 ReasoningUse Researcher
Write a quick summary
Build a strategic roadmap
Compare academic studies
Brainstorm creative ideas
Solve a complex problem
Generate source-backed insights

AI isn’t a one-size-fits-all and not all use cases are the same. As AI models contine to become more context aware and with the ability to switch modes, there are still many times where knowing where to take your problem to is key – just like you know to talk to a specialist consultant vs a generalise at times.

Currently, to get the best from these AI models, the best result often lies in knowing when to switch gears—from conversational to analytical to research-grade depth. Whether you’re a CTO shaping strategy or a content creator chasing clarity, the right mode turns AI from assistant to partner to mentor.


Would you like this adapted into a SharePoint-friendly format or paired with a branded visual? I can also tailor it for internal enablement or customer-facing use.

Microsoft 365 Copilot now powered by GPT-5

Yes… Microsoft are updating Microsoft 365 Copilot with support for GPT-5 across the Microsoft Al stack. This is live now and rolling out across Microsoft 365 Copilot and Copilot Studio after being made available to “Insiders” on Copilot consumer/personal last week.


This quick incorporation of GPT-5 into Copilot underscores Microsoft’s pledge to integrate OpenAI’s cutting-edge models into the their AI products within 30 days of availability.

What is so great about GPT-5?

GPT-5 in Copilot is built on a dual-engine (think two brain approach) architecture designed to better align to the way humans think. It will. Adapt the “mode” based on the ask and type of response of work needed.

  • Real-time routing: rather having to choose the model (such as deep thinker or research), for every prompt, Copilot now automatically evaluates the prompt and it’s complexity and then selects the ideal GPT-5 sub-model for the response.
  • High-throughput model : Tackles routine tasks quickly, delivering succinct answers to straightforward requests. 
  • Deep-reasoning model: Which engages when advanced analysis or creativity is needed, taking time to plan, verify context, and ensure accuracy before responding.

This adaptive model selection brings together speed and depth, and can change within the same conversation. This means as your conversation with Copilot evolves so does the way it responds, without the user having to change modes.

(c) Microsoft

Open AI’s CEO Sam Altman said that “the new model, GPT-5, is its smartest and fastest to date with wide-ranging improvements to ChatGPT’s skills in areas like coding, writing and taking on complex actions.”

How GPT-5 in Copilot shifts the conversation.

GPT-5 builds on GPT-4 with:

  • A vastly expanded context window (up to 100K tokens) – on average a token is equivalent to about four characters of an English word.
  • Improved reasoning and multi-step problem solving without having to manually choose the model up front. Can also switch dynamically in the same conversation.
  • Enhanced memory and recall capabilities
  • Support for multimodal inputs (text, image, audio)… Note output is still text!
  • Faster, and much more accurate responses

Copilot with GPT-5 isn’t just smarter—it’s more practical too. The increased token input also means it can handle entire project folders, analyse longer documents, and deliver context-aware outputs that feel tailored to your workflow and chosen format.

Image a scenario where I ask Copilot to “Summarise a new solution proposition“. This would trigger GPT-5’s high-throughput route, scanning the document or documents to return a concise summary as per the ask.

When I then ask Copilot to “review this against best practise examples, and make suggestions fornimprovement and then create me a ‘better’ version based on your suggestions“, Copilot will seamlessly switch to use it’s deep reasoning mode. You know it has switched modes as you literally see it think.

GPT-5 Agents in Copilot Studio

People or teams building specialised workflows or agents in Copilot Studio now also get support for GPT-5 which is now the primary engine for custom agents.

GPT-5 better enables agents to tackle more complex processes like compliance audits or financial modeling with greater precision and contextual awareness than previous GPT powered agents.

How to use GPT-5 in Microsoft 365 Copilot

GPT-5 support in Copilot is available now for licensed Microsoft 365 Copilot users. Once rolled out to your environment, users will  see a new “Try GPT-5 button” in Copilot Chat. Once activated, Copilot will leverage GPT-5 across your work and web data by default.

A Microsoft 365 Copilot License grants priority access, with broader rollout to Copilot Chat only users rolling out over the next few weeks.

Is it better?

My suggestions

Compare a prompt such as:  “Summarise my emails from the last week, determine which ones require actions and break them down into high impact, low impact and trivial based on your analysis“.

Try this and try this again with GPT-5 enabled.

Try longer prompts…you can essentially now. Feed Copilot with…

  • A full business proposal
  • A multi-tab Excel workbook
  • A folder of Markdown files or code
  • A long-form research paper with citations

…it can handle all of it in one prompt, as long as the total token count stays under 100K.

It’s important to note that the prompt is just part of the context window. The model also needs room for its response. So if you use 80,000 tokens for input, you’ll have ~20,000 tokens left for output. Hopefully that makes sense.!

This isn’t just summarising anymore—it’s deep analysis, synthesis, and contextual understanding across dozens (or hundreds) of pages.


Read more here: https://www.microsoft.com/en-us/microsoft-365/blog/2025/08/07/available-today-gpt-5-in-microsoft-365-copilot/