Try our new research platform with insights from 80,000+ expert users

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
4.7
ChatGPT Enterprise boosts productivity by up to 70% and cuts costs by 25%, enhancing company revenue and efficiency.
Sentiment score
3.9
Google Gemini AI improves productivity and efficiency but can incur costs, with variable financial impacts and competitive market standing.
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
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
5.6
ChatGPT Team's Enterprise support is praised for effective responses, reducing user need due to comprehensive documentation and engagement.
Sentiment score
4.0
Customers have mixed feelings about Google Gemini AI support, appreciating online resources but noting potential accessibility issues.
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
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
it's really difficult to reach them
Chief Technology Officer at MedPiper Technologies Inc
 

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
5.9
Google Gemini AI is praised for scalability but faces concerns over context size, costs, and computing power limitations.
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
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
5.0
ChatGPT Team - Enterprise is praised for its exceptional reliability and speed, outperforming customer portals with consistent performance.
Sentiment score
7.1
Google Gemini AI is praised for its stable, reliable performance, with minor concerns about occasional hallucinations and alternatives.
Everything I've tried so far works without instability, bugs, or hallucinations.
Emeritus Professor of Health Services Research at University of South Wales
Recently, Google Gemini has been very stable, without performance issues.
Director at a tech services company with 501-1,000 employees
 

Room For Improvement

Users seek improvements in ChatGPT for accuracy, functionality, ethical concerns, language diversity, context handling, and user experience.
Google Gemini AI needs better customization, response speed, integration, code generation, and creative accuracy to improve user satisfaction.
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
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

Enterprise pricing is reasonable, offering valuable features that enhance productivity and support various tasks, justifying its cost.
Google Gemini AI pricing is competitive but can become costly with multiple licenses due to 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 productivity with content generation, collaboration, integration, and customizable AI, enhancing efficiency and onboarding.
Google Gemini AI enhances productivity with multi-modal features, automation, and seamless Google services integration for efficient task management.
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
6th
Ranking in Large Language Models (LLMs)
2nd
Ranking in AI Proofreading Tools
2nd
Average Rating
8.6
Reviews Sentiment
4.6
Number of Reviews
12
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
7.8
Reviews Sentiment
6.0
Number of Reviews
16
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2026, in the Large Language Models (LLMs) category, the mindshare of ChatGPT Team - Enterprise is 9.9%, up from 2.3% compared to the previous year. The mindshare of Google Gemini AI is 15.6%, down from 31.8% 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 AI15.6%
ChatGPT Team - Enterprise9.9%
Other74.5%
Large Language Models (LLMs)
 

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.
Luís Silva - PeerSpot reviewer
Chief Technical Lead at a consultancy with 201-500 employees
Tool proves competitive with cost-effectiveness and speed while benefiting decision-making and integration capabilities, but shows room for enhancing creativity and handling large data contextually
There is another benefit in that Google Gemini is highly competitive from a cost perspective. The cost per token is very competitive. It's not the best - the Chinese models such as DeepSeek are better, but I can't use them. From a cost perspective, between European and United States options, Google Gemini is very competitive. It's not only its cost, it's also very performing. The time it takes to process the prompts and context information is very fast. It's one of the fastest models in the market. That's another advantage. There are other models which are also very good in quality but not as fast, such as Anthropic Claude. Google Gemini currently has a very good balance. The AI capabilities of Google Gemini are a multi-modal LLM which allows me to pass documents, images, and texts in the same prompt. Being multi-modal makes my life easier. I don't have to translate information before I can work with it. Google provides free tools to test scenarios, which speeds up development and reduces costs. It's a very fast and accurate model with quality responses.
report
Use our free recommendation engine to learn which Large Language Models (LLMs) solutions are best for your needs.
881,082 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
University
11%
Computer Software Company
9%
Comms Service Provider
8%
Government
6%
 

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 Business6
Midsize Enterprise6
Large Enterprise6
 

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 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
Information Not Available
Find out what your peers are saying about ChatGPT Team - Enterprise vs. Google Gemini AI and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.