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ChatGPT Team - Enterprise vs GitHub CoPilot comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 9, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
4.7
ChatGPT Enterprise boosts productivity by up to 70% and cuts costs by 25%, enhancing company revenue and efficiency.
Sentiment score
7.4
GitHub CoPilot enhances productivity, reduces costs by up to 40%, and improves ROI, especially for standardized tasks.
It has made the company more productive, generated more revenue, and as a whole, everything has improved.
Head of Marketing at a tech company with 51-200 employees
Overall, ChatGPT Team - Enterprise is cost effective and brings a return on investment for my use.
Business automation Expert at INSTRUTECH LIMITED
I have seen a return on investment, and it has saved around twenty-five percent of our costs.
Programmer and Developer at Erkmenhost
A lot of time is saved using GitHub CoPilot because the PR review process used to take two to three days, but now it takes about two to three minutes to analyze the complete PR, get context, and give the rating.
Ai Research Enthusiast And Developer at ADP
Efficiencies with GitHub CoPilot have improved by 30%, which means a quicker go-to market and a simplified way of documenting technical designs.
Vice President of Products at C5i
 

Customer Service

Sentiment score
5.6
ChatGPT Team's Enterprise support is praised for effective responses, reducing user need due to comprehensive documentation and engagement.
Sentiment score
4.9
GitHub CoPilot's support is generally satisfactory, with valuable community support but needs improvement in onboarding and response times.
I would rate the available documentation as a 10.
Director Metropolitano de Gobierno Digital at a government with 10,001+ employees
Online resources are vast for optimizing results.
Senior Investment Analyst at a financial services firm with 1-10 employees
the overall outlook is positive.
Senior Analyst at a healthcare company with 5,001-10,000 employees
With a large user base, it covers a wide range of questions, from simple to complex, ensuring that answers are available.
Software Engineer at a tech vendor with 1,001-5,000 employees
Whenever there's a downtime of GitHub CoPilot or any issue with login or plugins, customer support is good enough to solve those issues.
Ai Research Enthusiast And Developer at ADP
GitHub technical support is excellent.
AppSec engineer at EastNets Holding Ltd.
 

Scalability Issues

Sentiment score
4.1
ChatGPT Team - Enterprise offers scalability praised by users, effective for research, and is seen as superior to alternatives.
Sentiment score
7.0
GitHub CoPilot is praised for its scalability, effective user support, and ease of license acquisition, with room for enterprise enhancements.
There is not over 50% speed up time overall with ChatGPT, but it definitely provides over 50% improvement for research-specific purposes.
Senior Investment Analyst at a financial services firm with 1-10 employees
The scalability of ChatGPT Team - Enterprise is that the more people you need, you can add to your team or take them off.
Head of Marketing at a tech company with 51-200 employees
It cannot be fully depended on to build every component and run a large enterprise application without significant human intervention.
Vice President of Products at C5i
Multiple people using it get a lot of immediate and exact responses useful for fixing issues, debugging, automating, or enhancing features.
Ai Research Enthusiast And Developer at ADP
With an enterprise plan, there are no limitations, so scalability is not an issue.
Software Engineer at a tech vendor with 1,001-5,000 employees
 

Stability Issues

Sentiment score
5.0
ChatGPT Team - Enterprise is praised for its exceptional reliability and speed, outperforming customer portals with consistent performance.
Sentiment score
7.4
GitHub CoPilot is largely stable with minor glitches, mostly consistent but occasionally disrupted, especially in complex setups.
In most cases, it does not generate irrelevant code.
Software Engineer at a tech vendor with 1,001-5,000 employees
At certain times, you may not get the required response and realize it's either down or not responding for other reasons.
Vice President of Products at C5i
 

Room For Improvement

Users seek improvements in ChatGPT for accuracy, functionality, ethical concerns, language diversity, context handling, and user experience.
GitHub CoPilot needs improvements in accuracy, context awareness, language support, IDE integration, UI features, and automation capabilities.
You need the expertise to validate if what the prompt produces is correct.
Diretor at Hat Thinking
Some areas that could be improved with ChatGPT include the accuracy aspect.
Senior Investment Analyst at a financial services firm with 1-10 employees
The more specific your query is, your question, the better the result you're going to get.
Programmer at a insurance company with 1,001-5,000 employees
Users should not be 100% reliant on AI or any LLMs. They need to work on it and they need to review the code.
QA Manager at Synechron
There is excellent support across various code editors like JetBrains, VS Code, and NeoGen.
Software Engineer at a tech vendor with 1,001-5,000 employees
To understand our application better and learn from it would likely require access to the entire codebase, which a lot of companies may not allow.
Vice President of Products at C5i
 

Setup Cost

Enterprise pricing is reasonable, offering valuable features that enhance productivity and support various tasks, justifying its cost.
GitHub CoPilot offers free individual access and enterprise plans from $18-$20 per user, with negotiable pricing.
Without ChatGPT Team - Enterprise, I wouldn't have been able to do a tenth of what I do currently.
Head of Marketing at a tech company with 51-200 employees
The setup cost for ChatGPT was not very expensive.
Director Metropolitano de Gobierno Digital at a government with 10,001+ employees
They recently made Copilot free to use up to a certain limit, which is a positive change.
Software Engineer at a tech vendor with 1,001-5,000 employees
The kind of use that I am having with a $20-30 license, I think it is really of really good help.
QA Manager at Synechron
 

Valuable Features

ChatGPT Team - Enterprise boosts productivity with content generation, collaboration, integration, and customizable AI, enhancing efficiency and onboarding.
GitHub CoPilot enhances productivity with context-aware suggestions, multi-language support, and seamless IDE integration for efficient coding.
I see a return on investment for ChatGPT because the time required results in significant savings.
Director Metropolitano de Gobierno Digital at a government with 10,001+ employees
With ChatGPT doing this, I save significant time because I can quickly get information about sources for subjects and main industry specialists regarding specific themes.
Diretor at Hat Thinking
We all have one of the most powerful tools ever at our disposal, so it's acted like a force multiplier.
Head of Marketing at a tech company with 51-200 employees
It is certainly time-saving; we have seen upwards of around 30% plus of time savings using GitHub CoPilot.
Vice President of Products at C5i
Things which were taking like two days are now finished within half an hour.
QA Manager at Synechron
Context awareness, inline autocompletions, rapid code prototyping, Agentic mode, and availability in multiple language IDEs are the best features of GitHub CoPilot.
Ai Research Enthusiast And Developer at ADP
 

Categories and Ranking

ChatGPT Team - Enterprise
Ranking in AI Code Assistants
6th
Average Rating
8.6
Reviews Sentiment
4.6
Number of Reviews
12
Ranking in other categories
AI Writing Tools (2nd), Large Language Models (LLMs) (2nd), AI Proofreading Tools (2nd)
GitHub CoPilot
Ranking in AI Code Assistants
2nd
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
31
Ranking in other categories
Rapid Application Development Software (9th)
 

Mindshare comparison

As of January 2026, in the AI Code Assistants category, the mindshare of ChatGPT Team - Enterprise is 3.8%, up from 2.7% compared to the previous year. The mindshare of GitHub CoPilot is 7.3%, up from 6.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Code Assistants Market Share Distribution
ProductMarket Share (%)
GitHub CoPilot7.3%
ChatGPT Team - Enterprise3.8%
Other88.9%
AI Code Assistants
 

Featured Reviews

RodrigoBassani - PeerSpot reviewer
Diretor at Hat Thinking
Efficiently manages projects and daily tasks with personalized interaction
Some areas that could be improved with ChatGPT include the information they provide, as sometimes they hallucinate something that's not real. Sometimes they comment positively without being asked, and I have questioned ChatGPT that I don't want the prompt to agree with me but rather to challenge me. If I provide a slide and ask to compare it to McKinsey or other big companies and scale it from zero to 10, they might say it's an eight and suggest improvements to reach nine or ten. However, these evaluations aren't always realistic because if you're not a specialist on the subject, you might create something that's not accurate. This becomes problematic because we are working with real clients, not experiments. When working on real cases, I have to be the one to validate that the information is accurate. Sometimes they provide information that isn't real. You have to be the gate to validate that this information is correct before proceeding. For simpler tasks adjusting communication style or making text more formal, they perform perfectly. However, for complex cases, I don't use ChatGPT as the source of truth because it's not always accurate. If you delegate it to make decisions in your place, it could create significant problems to solve.
TusharShankar - PeerSpot reviewer
QA Manager at Synechron
AI coding assistant has transformed development speed and supports learning new languages
Any technology comes with two things, or rather anything in this world has both sides, good and bad. LLMs also have the same thing. The bad part is for a person who is 100% dependent on AI because they won't be able to learn more if they are 100% dependent on that. The main thing is that there has to be restraint from our side. I won't say it is from the tool side, but from our side, we need to learn and we need to work on it. We need to review the code. That is one thing that we need to do from our end. From a technology perspective, it is designed to help us out, and it is totally on our side of thinking about how exactly we are going to use that. There is not any area for improvement from the tool side, but it is from the users altogether. Users should not be 100% reliant on AI or any LLMs. They need to work on it and they need to review the code.
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
17%
Computer Software Company
9%
Manufacturing Company
9%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise2
Large Enterprise4
By reviewers
Company SizeCount
Small Business14
Midsize Enterprise2
Large Enterprise15
 

Questions from the Community

What needs improvement with ChatGPT?
One area where ChatGPT Team - Enterprise can be improved is hallucinations. They have gotten slightly better, but sometimes it provides information that is either not relevant or made up. There is ...
What is your primary use case for ChatGPT?
As the Head of Marketing, my main use case for ChatGPT Team - Enterprise is for everything I do for marketing, whether that's writing emails, social posts, landing page copy, ideas for events, or s...
What advice do you have for others considering ChatGPT?
My advice for others looking into using ChatGPT Team - Enterprise is to do it. In my personal opinion, every marketer, sales, or corporate job should be using ChatGPT in every aspect of their life ...
What is your experience regarding pricing and costs for GitHub CoPilot?
For now, I think it is okay. It is not that expensive. The kind of use that I am having with a $20-30 license, I think it is really of really good help.
What needs improvement with GitHub CoPilot?
Any technology comes with two things, or rather anything in this world has both sides, good and bad. LLMs also have the same thing. The bad part is for a person who is 100% dependent on AI because ...
 

Also Known As

Rockset
No data available
 

Overview

 

Sample Customers

1. Adobe 2. Cisco 3. Comcast 4. DoorDash 5. Expedia 6. Facebook 7. GitHub 8. IBM 9. Lyft 10. Microsoft 11. Netflix 12. Oracle 13. Pinterest 14. Reddit 15. Salesforce 16. Slack 17. Spotify 18. Square 19. Target 20. Twitter 21. Uber 22. Verizon 23. Visa 24. Walmart 25. Yelp 26. Zoom 27. Airbnb 28. Dropbox 29. eBay 30. Google 31. LinkedIn 32. Amazon
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Find out what your peers are saying about ChatGPT Team - Enterprise vs. GitHub CoPilot and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.