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ChatGPT Team - Enterprise vs Google Gemini AI comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 4, 2025

Review summaries and opinions

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

Categories and Ranking

ChatGPT Team - Enterprise
Ranking in AI Writing Tools
2nd
Ranking in AI Code Assistants
7th
Ranking in Large Language Models (LLMs)
2nd
Ranking in AI Proofreading Tools
2nd
Average Rating
8.2
Reviews Sentiment
4.0
Number of Reviews
8
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
5.5
Number of Reviews
15
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Large Language Models (LLMs) category, the mindshare of ChatGPT Team - Enterprise is 11.7%, up from 3.3% compared to the previous year. The mindshare of Google Gemini AI is 16.6%, down from 36.7% 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 AI16.6%
ChatGPT Team - Enterprise11.7%
Other71.7%
Large Language Models (LLMs)
 

Featured Reviews

RodrigoBassani - PeerSpot reviewer
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
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.

Quotes from Members

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

Pros

"ChatGPT has positively impacted our organization by speeding up a lot of our processing time."
"It provides details that previously took days or weeks to gather, and I can improve and get more insight on subjects with more accuracy."
"The initial setup was very simple."
"I save significant time because I can quickly get information about sources for subjects and main industry specialists regarding specific themes."
"I would rate ChatGPT a nine on a scale of one to ten."
"It provides details that previously took days or weeks to gather, and I can improve and get more insight on subjects with more accuracy."
"ChatGPT Team - Enterprise makes my life very easy because every time I have to look up something on Google, I have to search through multiple results, but ChatGPT Team - Enterprise provides information in a simpler view with the easiest format and in quite literally the simplest sentences."
"Rockset is very fast, and you can query just like in MySQL."
"The most valuable feature of Google Gemini for us is its text writing capabilities, which we are using for writing texts and social media posts for our company's social media page."
"I have seen many cases of reduced costs and working hours."
"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."
"Google Gemini uses all the data that Google has produced."
"The best features for my use cases with Google Gemini are its dynamic LLM model that can perform dynamic searches, which is wonderful for factual searches to understand numbers and to generate real-time answers."
"It is like having an expert at my fingertips for those out-of-scope queries."
"The most beneficial aspect of Google Gemini for me is that it's able to do searches much better."
"Google Gemini has the best combination of scalability, costs, performance, and accuracy."
 

Cons

"These evaluations aren't always accurate because if you're not a specialist on the subject, you may create something that's not real."
"If you ask it the same question twice, it gives you a slightly different answer, which even a human being does unless it memorizes something."
"I would not recommend ChatGPT as a standalone product. I think it could be beneficial when used alongside other tools, but as a standalone solution, its accuracy cannot be entirely trusted."
"They have room for improvements in search as sometimes it gives out wrong information."
"Rockset is now bought by OpenAI. It’s uncertain if Rockset will continue to exist as it is."
"Filtering the database based on indexes is difficult in Rockset and should be simplified."
"The information base of ChatGPT has to grow because, in some cases, it does not include information about my city."
"For complex cases, I don't use ChatGPT as the source of truth. You need the expertise to validate if what the prompt produces is correct."
"I conducted some research using Google Gemini, and sometimes the results are not correct. For example, when I asked for information about marketing and inquired about the sources used, the sources were not relevant or had no relation to the subject I was researching."
"When I have reached out to Google Support, it's been very limiting. I would rate Google at about a five."
"Google can improve in model justification and interpretability of answers."
"Sometimes Google Gemini could hallucinate and provide incorrect information, which needs explanation for correction."
"Google Gemini's biggest strength is also its drawback; it's excellent for generating reports and working with data in real-time, but it isn't the most creative LLM for tasks such as creating a digital storytelling campaign or crafting marketing messages."
"The binning process could be more intuitive, especially when grouping data into categories like age groups."
"There are scalability issues, and they are all related to what you can do within that context window of a million tokens."
"Google Gemini often gets factual answers wrong, which is problematic."
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Top Industries

By visitors reading reviews
Computer Software Company
14%
Comms Service Provider
8%
Manufacturing Company
8%
Performing Arts
8%
Computer Software Company
12%
University
11%
Comms Service Provider
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise3
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise6
Large Enterprise4
 

Questions from the Community

What needs improvement with ChatGPT?
There are areas where ChatGPT can still improve. If you ask it the same question twice, it gives you a slightly different answer, which even a human being does unless it memorizes something. As inf...
What is your primary use case for ChatGPT?
ChatGPT is used to write terminal scripts for Macintosh for remotely renaming a machine based upon a formula. We use it to remotely create users through remote terminal commands so we don't have to...
What advice do you have for others considering ChatGPT?
I haven't seen if ChatGPT is used with AWS; I haven't bothered to see what their back end is. We purchase ChatGPT through SherWeb, S H E R W E B, and we purchase through Pax8, P A X and the number ...
What is your experience regarding pricing and costs for Google Gemini?
If ten is expensive and one is free, I would rate it a three or four.
What needs improvement with Google Gemini?
Gemini can be improved in several ways. The ChatGPT platform is much more simple for getting started, whereas Gemini's initial setup is more difficult, particularly when using other services such a...
What is your primary use case for Google Gemini?
We have implemented real-time data streaming and analysis tools in Gemini. We have used them to develop complicated systems such as a tender valuation system and a vision tool to classify images on...
 

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: September 2025.
868,787 professionals have used our research since 2012.