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ChatGPT Team - Enterprise vs Google Gemini AI 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
5.3
ChatGPT Team boosts ROI by 50% with faster task completion, reduced staffing needs, and justified investment costs through savings.
Sentiment score
4.4
Google Gemini AI reduces costs and boosts productivity, but ROI varies, with some preferring ChatGPT; production use requires paid APIs.
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, the platform has provided measurable efficiency and productivity gains, making the subscription cost more than justified by the time and resource savings.
Business Analyst at a tech vendor with 10,001+ employees
Overall, ChatGPT Team - Enterprise is cost effective and brings a return on investment for my use.
Business automation Expert at INSTRUTECH LIMITED
Workspace usage of Gemini 3 Pro for coding assistance significantly aids in building, prototyping, and preparing production-grade applications in a very short time.
AI Research Enthusiast and Developer at ADP
For some of the models it's actually free. It doesn't cost anything, but once you get to production scenarios in which you have to use the API, you have to pay.
Chief Technical Lead at a consultancy with 201-500 employees
 

Customer Service

Sentiment score
6.1
ChatGPT Team - Enterprise is praised for timely support, professionalism, and excellent resources, though many rely on documentation.
Sentiment score
4.4
Opinions on Google Gemini AI's customer service vary, highlighting responsiveness but noting difficulties in accessibility and communication.
I would rate the available documentation as a 10.
Director Metropolitano de Gobierno Digital at a government with 10,001+ employees
When I inquired about documentation regarding costs and setup, they promptly responded within a few hours.
Website Developer And CMO at DishIs Technologies
Online resources are vast for optimizing results.
Senior Investment Analyst at a financial services firm with 1-10 employees
Google Gemini AI has excellent customer support.
AI Research Enthusiast and Developer at ADP
They rely on a self-service approach, providing a lot of information online through blogs and documents.
CTO at AlphaNuTech
Microsoft has done better, though they're not great at it, but they seem to be more responsive.
Senior Consultant at a outsourcing company with 201-500 employees
 

Scalability Issues

Sentiment score
4.7
ChatGPT Team - Enterprise boasts superior scalability and flexibility, making it ideal for teams of varying sizes and needs.
Sentiment score
5.5
Google Gemini AI is praised for scalability, efficiency, and infrastructure, with mixed opinions on cost and context window constraints.
ChatGPT Team - Enterprise is highly scalable for growing organizations, designed to support teams of various sizes, from small groups to hundreds or even thousands of users without a drop in performance or usability.
Business Analyst at a tech vendor with 10,001+ employees
It scales efficiently for mid-sized to large software teams.
Website Developer And CMO at DishIs Technologies
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
Google Gemini handles multiple PDF files and big files efficiently.
Director at a tech services company with 501-1,000 employees
It can conduct research quickly, taking only five to seven minutes to produce a ten-page research document with a reasonable executive summary.
CTO at AlphaNuTech
If you want to grow the amount of information that you want to insert into the model before you provide an answer, you have to use different techniques.
Chief Technical Lead at a consultancy with 201-500 employees
 

Stability Issues

Sentiment score
5.6
The ChatGPT Team - Enterprise version offers high stability and reliability, with minimal downtime and prioritized uptime commitments.
Sentiment score
6.9
Google Gemini AI is highly rated for stability, handling issues efficiently, though users note longer responses and pricing considerations.
Enterprise is stable. Most users report using it in real-world situations, handling routine workflows without regular disruptions or errors, and it is rated highly for stability and reliability in everyday enterprise contexts.
Business Analyst at a tech vendor with 10,001+ employees
Overall, ChatGPT Team - Enterprise's stability has been solid, and I have not observed any major outages or disruptions.
Website Developer And CMO at DishIs Technologies
Everything I've tried so far works without instability, bugs, or hallucinations.
Emeritus Professor of Health Services Research at University of South Wales
At times, I see Google Gemini AI hallucinate, and I feel that Gemini 3 Pro is too expensive for individuals like me, costing about thirty dollars per user per month.
AI Research Enthusiast and Developer at ADP
Recently, Google Gemini has been very stable, without performance issues.
Director at a tech services company with 501-1,000 employees
 

Room For Improvement

The enterprise requires enhanced accuracy, customization, multilingual capabilities, and ethical considerations for improved integration with internal systems.
Google Gemini AI needs better customization, interpretability, accuracy, and usability, with improvements in response time, UI, and learning curve.
You need the expertise to validate if what the prompt produces is correct.
Diretor at Hat Thinking
Teams now want no-code automations, including the ability to trigger summary generation after meetings, classification of support tickets, and scheduling of reports.
Product Analyst at a consultancy with 51-200 employees
For ultra-sensitive deployments, some organizations prefer tools that can run without cloud dependency, so having a secure on-premise or private cloud deployment option with the same collaboration compatibilities would be beneficial.
Business Analyst at a tech vendor with 10,001+ employees
Google Gemini needs more accurate answers and the ability to export data to Excel or Google Sheets.
Director at a tech services company with 501-1,000 employees
When working on a 20-page document, Google Gemini sometimes loses context about earlier parts.
Chief Technology Officer at MedPiper Technologies Inc
Currently, it operates mostly autonomously, and while it provides structured activities, making the research configuration more accessible and flexible would be beneficial.
CTO at AlphaNuTech
 

Setup Cost

Enterprises upgraded to ChatGPT Team Enterprise for its cost-effectiveness and features, enhancing productivity and operational efficiency.
Google Gemini AI offers competitive pricing, but costs may rise with more licenses, setup fees, and currency fluctuations.
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
Google Gemini is free.
Emeritus Professor of Health Services Research at University of South Wales
The per license cost is on par with others, but with the number of licenses, it becomes expensive.
Chief Technology Officer at MedPiper Technologies Inc
The feature of Gemini 2.5 research is highly discounted.
CTO at AlphaNuTech
 

Valuable Features

ChatGPT Team - Enterprise boosts team efficiency with content creation, collaboration tools, integration ease, and customizable information processing.
Google Gemini AI excels in multi-modal tasks, enhancing productivity with seamless integration and real-time, intelligent workflows.
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
The most valuable feature of Google Gemini is its ability to function as an intelligent assistant, providing accurate answers to natural language queries and performing translations.
Emeritus Professor of Health Services Research at University of South Wales
The AI capabilities of Google Gemini are a multi-modal LLM which allows me to pass documents, images, and texts in the same prompt.
Chief Technical Lead at a consultancy with 201-500 employees
It provides an experimental search module capable of scanning hundreds of websites to deliver summarized data.
Director at a tech services company with 501-1,000 employees
 

Categories and Ranking

ChatGPT Team - Enterprise
Ranking in AI Writing Tools
2nd
Ranking in AI Code Assistants
5th
Ranking in Large Language Models (LLMs)
2nd
Ranking in AI Proofreading Tools
2nd
Average Rating
8.6
Reviews Sentiment
5.3
Number of Reviews
15
Ranking in other categories
No ranking in other categories
Google Gemini AI
Ranking in AI Writing Tools
1st
Ranking in AI Code Assistants
3rd
Ranking in Large Language Models (LLMs)
1st
Ranking in AI Proofreading Tools
1st
Average Rating
8.0
Reviews Sentiment
5.3
Number of Reviews
17
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Large Language Models (LLMs) category, the mindshare of ChatGPT Team - Enterprise is 9.2%, up from 6.5% compared to the previous year. The mindshare of Google Gemini AI is 15.5%, down from 29.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Large Language Models (LLMs) Market Share Distribution
ProductMarket Share (%)
Google Gemini AI15.5%
ChatGPT Team - Enterprise9.2%
Other75.3%
Large Language Models (LLMs)
 

Featured Reviews

Vyas Shubham - PeerSpot reviewer
Product Analyst at a consultancy with 51-200 employees
Centralized knowledge has transformed collaboration and now streamlines documentation work
ChatGPT Team - Enterprise is already a very strong AI tool, but some improvements could enhance it further. Currently, context depends on what is provided, the prompts, and what is in memory. An improvement could be the automatic suggestion of relevant files or context based on queries. Cross-document semantic linking could be beneficial. Better handling of evolving knowledge would be useful, such as showing what changes have been made since last month. Additionally, teams want finer permissions such as read-only memory groups and scoped templates by role, departments, and temporary access tokens for contractors. I feel that more granular access controls are needed. Beyond APIs, teams now want no-code automations, including the ability to trigger summary generation after meetings, classification of support tickets, and scheduling of reports. Another improvement that comes to mind is the implementation of an in-app learning and training program. Built-in tutorials could help the team discover more advanced features and learn how to provide better prompts. The platform should provide best practices that show users what they need to do to get the best results. An in-app learning or training program would be valuable.
Uday Boya - PeerSpot reviewer
AI Research Enthusiast and Developer at ADP
AI workflows have transformed prototyping and coding productivity across my daily projects
There is a steeper learning curve for advanced agentic features that could be improved, and hallucinations should be reduced. The answers provided are long, which is impressive but not efficient for users needing rapid, crisp responses. Providing concise answers would improve the user experience. Google Gemini AI's UI code is too vague and the designs are not very appealing. Google Gemini AI can improve its UI code and address hallucination issues. The long answers provided can be tiresome to read, and the pricing is too high for individuals like me. These considerations led me to give a rating one point less than ten. Native GitHub or Vercel export could be integrated, and the context could be increased to over two million tokens. A simplified agentic setup for the UI could also help non-technical experts handle it more effectively.
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881,707 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
11%
Comms Service Provider
11%
Manufacturing Company
8%
University
7%
University
11%
Computer Software Company
9%
Comms Service Provider
9%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise3
Large Enterprise6
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise6
Large Enterprise6
 

Questions from the Community

What needs improvement with ChatGPT?
ChatGPT Team - Enterprise is currently working well, and I do not see any need for improvements because it handles every project I run without complexity or delay. Everything on ChatGPT Team - Ente...
What is your primary use case for ChatGPT?
My main use case for ChatGPT Team - Enterprise is developing and coding, and for team collaboration, we have been using it for content marketing as well as coding. A specific example of how I use C...
What advice do you have for others considering ChatGPT?
I rate ChatGPT Team - Enterprise a ten out of ten because it is stable, flexible, and fully customizable. It also demonstrates the best functionality and performance so far. I advise others looking...
What is your experience regarding pricing and costs for Google Gemini?
The pricing of Google Gemini AI is not well understood, so no feedback can be provided on the cost. It was thought to have come together with the device subscription.
What needs improvement with Google Gemini?
Google Gemini AI is not used much because it does not appear to be as responsive or as effective as Alexa when responding to questions, queries, instructions, or commands. When in a room with Googl...
What is your primary use case for Google Gemini?
Google Gemini AI is used for common, basic digital assistant queries such as asking about the weather and the time. Often there are conflicting responses from Google Home, Google Home Mini, and the...
 

Also Known As

Rockset
Google Bard
 

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. Google Gemini AI and other solutions. Updated: December 2025.
881,707 professionals have used our research since 2012.