IBM watsonx.ai vs. Microsoft 365 Copilot

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM watsonx.ai
Score 8.7 out of 10
N/A
Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models, and traditional machine learning into a studio spanning the AI lifecycle. Watsonx.ai can be used to train, validate, tune, and deploy generative AI, foundation models, and machine learning capabilities, and build AI applications with less time and data.
$0
Microsoft 365 Copilot
Score 8.3 out of 10
N/A
For enterprises, Microsoft 365 Copilot (or just Microsoft Copilot) is a generative AI operating as an intelligent virtual assistant for work. Through a chat interface, business users can use it to solve a variety of complex tasks.
$31.50
per month per user
Pricing
IBM watsonx.aiMicrosoft 365 Copilot
Editions & Modules
Free Trial
$0
ML functionality (20 CUH limit /month); Inferencing (50,000 tokens / month)
Standard
$1,050
Monthly tier fee; additional usage based fees
Essentials
Contact Sales
Usage based fees
Microsoft Copilot
$31.50
per month per user
Offerings
Pricing Offerings
IBM watsonx.aiMicrosoft 365 Copilot
Free Trial
YesNo
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsPricing for watsonx.ai includes: model inference per 1000 tokens and ML tools and ML runtimes based on capacity unit hours.Pricing shown is based on an annual commitment. Discount available for annual payment.
More Pricing Information
Community Pulse
IBM watsonx.aiMicrosoft 365 Copilot
Considered Both Products
IBM watsonx.ai
Chose IBM watsonx.ai
The use cases of code explanation, code suggestion, code review, and code conversions from one language to another were relatively easy to build in Watson.ai than using CoPilot. I found that the contextualization of code for a packaged solution is easier to do in Watsonx.ai …
Microsoft 365 Copilot

No answer on this topic

Features
IBM watsonx.aiMicrosoft 365 Copilot
AI Development
Comparison of AI Development features of Product A and Product B
IBM watsonx.ai
5.5
1 Ratings
1% above category average
Microsoft 365 Copilot
-
Ratings
Machine learning frameworks5.51 Ratings00 Ratings
Data management4.51 Ratings00 Ratings
Data monitoring and version control4.51 Ratings00 Ratings
Automated model training4.51 Ratings00 Ratings
Managed scaling6.41 Ratings00 Ratings
Model deployment6.41 Ratings00 Ratings
Security and compliance6.41 Ratings00 Ratings
Best Alternatives
IBM watsonx.aiMicrosoft 365 Copilot
Small Businesses
InterSystems IRIS
InterSystems IRIS
Score 7.8 out of 10

No answers on this topic

Medium-sized Companies
InterSystems IRIS
InterSystems IRIS
Score 7.8 out of 10

No answers on this topic

Enterprises
InterSystems IRIS
InterSystems IRIS
Score 7.8 out of 10
Oracle Digital Assistant
Oracle Digital Assistant
Score 7.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM watsonx.aiMicrosoft 365 Copilot
Likelihood to Recommend
9.1
(33 ratings)
8.3
(14 ratings)
Likelihood to Renew
6.4
(1 ratings)
9.5
(2 ratings)
Usability
7.8
(6 ratings)
8.2
(13 ratings)
Ease of integration
6.4
(2 ratings)
-
(0 ratings)
Product Scalability
9.1
(1 ratings)
-
(0 ratings)
User Testimonials
IBM watsonx.aiMicrosoft 365 Copilot
Likelihood to Recommend
IBM
I have built a code accelerator tool for one of the IBM product implementation. Although there was a heavy lifting at the start to train the model on specifics of the packaged solution library and ways of working; the efficacy of the model is astounding. Having said that, watsonx.ai is very well suited for customer service automation, healthcare data analytics, financial fraud detection, and sentiment analysis kind of projects. The Watsonx.ai look and feel is little confusing but I understand over a period of time , it will improve dramatically as well. I do feel that Watsonx.ai has certain limitations from cross-platform deployment flexibility. If an organization is deeply invested in a multi-cloud environment, Watson's integration on other cloud platforms may not be seamless comported to other AI platforms.
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Microsoft
I highly recommend its usage in Teams meetings to prepare a session transcript, meeting minutes,
next steps and recognize speech by person. Also within the meeting recording, there is separation between the people talking at the time. The Copilot image creation is very accurate and useful to
customize my PowerPoint presentations and other documents
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Pros
IBM
  • It allows specialists to apply several base models for specific subtasks in the field of NLP.
  • Gives the availability of many models developed for AI enhancement for different solutions.
  • Has incorporated functionality for data governance and security to support access to AI tools by multiple users.
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Microsoft
  • Good analysis of the ticket system at the service desk, so that this can be anticipated properly
  • For the management of IT environments, quick examples of scripting for desired solutions
  • For consultants and managers, they co-pilot a technical report into language understandable to a non-technical client, including a visual summary.
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Cons
IBM
  • IBM watsonx.ai is expensive than other platforms.
  • Limited integraions though it has many but still some tools integrations not there for medical usecase
  • Its little difficult to learn as right now not many open reseouces
  • Community is not that strong to get any answer
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Microsoft
  • The quality of image generation in Microsoft Copilot could be improved. Compared to other AI platforms, Copilot's images often fall short in quality and frequently contain typos.
  • When generating agents and chatbots, Microsoft Copilot currently doesn't appear to support file download functionality.
  • The email reply function is useful, but the responses can sometimes be overly elaborate. It would be helpful to have more options for adjusting the tone.
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Likelihood to Renew
IBM
I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
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Microsoft
Absolutely!!! I have a high regard for the product and will use it for years to come.
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Usability
IBM
I needed some time to understand the different parts of the web UI. It was slightly overwhelming in the beginning. However, after some time, it made sense, and I like the UI now. In terms of functionality, there are many useful features that make your life easy, like jumping to a section and giving me a deployment space to deploy my models easily.
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Microsoft
it is nearly perfect and it’s usability one of the main factors and contributing to the score is how versatile this tool is. it is vastly usable in a multitude of circumstances, and has a few limitations, but overall this product works well for what it is intended. It is very helpful for some otherwise time consuming tasks.
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Support Rating
IBM
I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
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Microsoft
No answers on this topic
Alternatives Considered
IBM
IBM watsonx.ai has been far superior to that of Chat GPT AI. the UI elements prompt responses and overall execution of the AI was much better and more accurate compared to the competition. I can not recommend using this platform enough. Great job IBM. I hope the team behind this project continues to grow and prosper.
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Microsoft
I think It lost the race for now. I don't think Microsoft will keep investing on it since we have better tools outside their environment. In my opinion, Microsoft Copilot is not even in the benchmark tools and in the race for AGI. I think Microsoft is way behind and Microsoft Copilot suffered the lack of investment like the one made by its competitors.
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Scalability
IBM
I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
Read full review
Microsoft
No answers on this topic
Return on Investment
IBM
  • Time saving to set up the infrastructure - without watsonx.ai we would have had to set up everything individually
  • The first point translates directly into cost savings
  • The compliance aspect was a game changer for us and provided us with the confidence to focus all our efforts only on IBM watsonx.ai
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Microsoft
  • Copilot has had a huge positive impact on my productivity. My job requires a lot of author and customer interaction, so since I use Copilot, I dont need to spend hours in my workday answering emails.
  • Copilot has also helped with my data analysis skills. I use the data analysis to create proposals and I have noticed a significant increase in project approvals after I have started using Copilot.
  • One of the business objectives of my company is to create high quality education resources. Since Copilot is integrated across platforms and departments in all office locations across the world, it has helped streamline operations in my company. This has definitely supported in achieving this objective.
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ScreenShots

IBM watsonx.ai Screenshots

Screenshot of the foundation models available in watsonx.ai. Clients have access to IBM selected open source models from Hugging Face, as well as other third-party models, and a family of IBM-developed foundation models of different sizes and architectures.Screenshot of the Prompt Lab in watsonx.ai, where AI builders can work with foundation models and build prompts using prompt engineering techniques in watsonx.ai to support a range of Natural Language Processing (NLP) type tasks.Screenshot of the Tuning Studio in watsonx.ai, where AI builders can tune foundation models with labeled data for better performance and accuracy.Screenshot of the data science toolkit in watsonx.ai where AI builders can build machine learning models automatically with model training, development, visual modeling, and synthetic data generation.