GitHub Copilot is presented as an AI pair programmer, that plugs into the user's editor. It then turns natural language prompts into code, offers multi-line function suggestions, speeds up test generation, filters out common vulnerable coding patterns, and blocks suggestions matching public code.
$10
per month
Microsoft 365 Copilot
Score 8.1 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
GitHub Copilot
Microsoft 365 Copilot
Editions & Modules
CoPilot for Individuals
$10
per month
CoPilot for Business
$19
per month per user
Microsoft Copilot
$31.50
per month per user
Offerings
Pricing Offerings
GitHub Copilot
Microsoft 365 Copilot
Free Trial
Yes
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Pricing shown is based on an annual commitment. Discount available for annual payment.
More Pricing Information
Community Pulse
GitHub Copilot
Microsoft 365 Copilot
Considered Both Products
GitHub Copilot
Verified User
Anonymous
Chose GitHub Copilot
Augment, Google Gemini, Uniqodo, Windsurf and Cursor
I have also used Anthropic's Claude code Its amazing, and I would say it is even better than GitHub Copilot. However, the only issue with claude code is its subscription price, which is very very high as compared to GitHub Copilot.
I used cursor AI as well, along with CoPilot. Curson has its own AI editor, but Copilot works with almost every code editor. So I don't need to depend on just one editor, and I get the flexibility to choose my own editors. The billing is also good and doesn't require many …
In terms of AI and developing tasks, GitHub Copilot is the only tool I have used so far. Copilot Work, Copilot Web, Copilot Teams, Copilot Excel, Copilot Word, Copilot Outlook, Copilot Power Point are other agents of Copilot that I use daily, but are all complementary of GitHub …
ChatGPT, Perplexity, and Grok are AI tools that developers use to boost productivity. However, GitHub Copilot outperforms them due to its tight integration with Visual Studio. GitHub Copilot can analyze all the code in your workspace and provide contextual assistance within …
It has historically worked much better. However, as all of this is relatively new technology it is hard to really judge something since most of the time you are kind of using a beta version of a product. I believe things will get better over time. That said, Microsoft copilot …
It is useful that copilot integrates so well with vscode, which is a very common IDE. I used tabnine for a little while but it was not that intuitive, and did not seem as helpful as github copilot was. I have enjoyed github copilot a lot, especially the ease of hitting the tab …
I think why my organization is preferring Microsoft Copilot is because of the wide rage of other linked products within it the way how workspace works is something which attracts the organization to go with copilot. Why Copilot over Claude is because of the security.
I haven't used any other Microsoft 365 Copilot alternatives or competitors because we are a Microsoft-based company, so this was the best solution for our organization.
We needed a tool where secure data was not submitted to servers to process as we have some health care related data to keep private. We also needed to be able to test this tool without committing first to see if it is a fit and Microsoft provided this easily to us.
All data remains within the company, in the tenant. Customer data must never be leaked to an unprotected environment, not even targeted customer issues. That's why Copilot is much better suited for this.Copilot is also a Microsoft product, and its integration with all other …
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 …
they work beautifully in their own ecosystems. since my organization mostly uses Microsoft products, Microsoft Copilot is user to navigate compared to gemini
Microsoft Copilot is a serious competitor to ChatGPT in the corporate world, due to its heavy and well implemented integration across the Microsoft 365 suite. It produces comparable results, but provides data security, controls, customisation and options that ChatGPT can't …
Copilot is dominates ChatGPT in business related capabilities, like the listed below: - Email content recommendation making it more professional and in business language - Copilot creates more accurate and better looking custom images per my instructions
I find that ChatGPT offers better image quality than Copilot, and creating custom GPTs in ChatGPT feels more intuitive than generating agents in Copilot Studio. However, Copilot provides more reliable sources for research compared to ChatGPT, which sometimes returns …
Since we use Microsoft 365 apps in our day-to-day work, we didn't have to choose Copilot over any other AI. It just came with the subscription. However, I would still use it over ChatGPT because Copilot is integrated with all the major Microsoft apps that we use. We dont need …
CoPilot AI is very user-friendly. Meets all my needs for content creation, searches, etc. Tried Gemini and Watson, but doesn't seem to have greater value than CoPilot AI. For translation, DeepL is absolutely my preferred product.
The primary reason is the integration into Office 360. Having the AI tool built into all of the office apps was a game changer in my opinion. Being able to use it in Word to help rewrite a sentence or look up a reference. In Excel, I have used to to build formulas or write …
I love Bing Copilot because it is integrated to Bing, I can have the answers easily using my phone or my laptop. The answers show the links just in case one needs to have further information about a topic, and somehow the tool feels friendlier than the other tools such as …
Copilit is fantastic at the following: 1. Solving simple, well-defined problems, such as implementing an algorithm, manipulating a data structure, or string manipulation and regex. 2. Implementing simple APIs that are mainly CRUD in nature, with moderate business logic inside them, which may involve some processing or passing the data through an algorithm. 3. Implementation of well-defined activities, such as implementing a connection to an Oracle DB using Hibernate or JDBC, or implementing boilerplate code for a backend service to listen to Kafka events. It is not that great when it comes to understanding and implementing code in a proprietary DSL. It struggles when implementing a major feature across a complex codebase. I believe developers should also adopt the trust-but-verify paradigm when expecting highly secure or regulated code from GitHub Copilot.
If you are in need of assistant, being ready to provide information quickly, or organize information, or synthesize talking points, this may be a tool for you. I have found that it may also be very helpful to track who is speaking in a meeting and summarize notes and action steps and to dos. It can be helping make communications.
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.
I feel that GitHub Copilot's overall usability is good due to its tight integration with Visual Studio and the workspace. However, developers expect greater ease of use, as there is a learning curve to realize productivity gains with the tool fully. I think there is room for improvement in GitHub Copilot's UI integration within Visual Studio.
For a while I think they had a great tool whit the advantage of being integrated with Visual Code, a tool that everyone was using. The market was theirs. Unfortunately, in my experience, the results were so inconsistent and basically wrong that I think would be best just code yourself or ask for simple tasks like giving a simple template for some function.
I used Cursor AI as well, along with CoPilot. Curson has its own AI editor, but Copilot works with almost every code editor. So I don't need to depend on just one editor, and I get the flexibility to choose my own editors. The billing is also good and doesn't require many coupons to write prompts.
I think why my organization is preferring Microsoft Copilot is because of the wide rage of other linked products within it the way how workspace works is something which attracts the organization to go with copilot. Why Copilot over Claude is because of the security.