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

ChatGPT Team - Enterprise vs Cohere 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
5.6
Enterprise boosts productivity and revenue up to 70% by reducing task time and improving cost-effectiveness and marketing ROI.
Sentiment score
5.3
Cohere's competitive pricing and faster embedding enhance application development efficiency, despite challenges in measuring overall return.
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
Tasks that earlier took hours can now be completed much faster within minutes, which improves productivity.
Data Dev Ops Engineer at Proton Technologies
Cohere's Embed English model took less time to embed than OpenAI's embedding ada-002 model.
Engineer at Roche
Cohere helped us with all three aspects: money is saved, time is saved, and we needed fewer resources to meet our end goals.
Senior Solution Architect at Hitachi Systems India Private Ltd
 

Customer Service

Sentiment score
6.2
ChatGPT Team - Enterprise's customer service is highly rated for promptness, expertise, and efficient support, with comprehensive documentation available.
Sentiment score
5.4
Cohere's customer service is positively rated, though some users haven't interacted yet due to lack of significant issues.
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
 

Scalability Issues

Sentiment score
4.5
ChatGPT Team scales effectively across diverse team sizes, supporting growth and flexibility, maintaining performance even with large user bases.
Sentiment score
6.0
Cohere's scalability is praised for effective response, but some users note slowdowns with large data and extensive scenarios.
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
We don't observe many scaling problems because it's an enterprise application.
Founding Engineer at Agentize.AI
 

Stability Issues

Sentiment score
5.8
ChatGPT Team - Enterprise is stable, reliable, and efficiently supports various enterprise operations with minimal downtime or errors.
Sentiment score
7.8
Users generally find Cohere stable, rating it six out of ten, with no major issues or downtime reported.
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
The platform rarely experiences downtime and responds consistently fast.
Data Dev Ops Engineer at Proton Technologies
We haven't had any issues to escalate to Cohere's support because reranking is an optional feature in our product, and we haven't seen any significant issues so far.
Founding Engineer at Agentize.AI
 

Room For Improvement

Enterprise users seek improvements in data accuracy, multilingual support, customization, and security for better adoption of ChatGPT.
Cohere should enhance visual-text integration, similarity accuracy, dashboard features, documentation, and optimize similarity search distances for improvement.
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
We want such features because when chatting with clients, we can demonstrate that employing Cohere's reranking model significantly improves results compared to not using it.
Founding Engineer at Agentize.AI
Because it does not have extensive understanding of Oracle functionalities in ERP, it sometimes gives wrong results or the confidence score is lower than desired.
Sr Test engineer at a tech vendor with 10,001+ employees
During the embedding process, measurable metrics are not visible.
DevOps Engineer at CHI Software
 

Setup Cost

Enterprises see value in ChatGPT Team - Enterprise's affordability and enhanced features, boosting productivity even with limited resources.
Enterprise buyers find Cohere's pricing competitive yet potentially costly when additional services are included, with mixed cost experiences.
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
My experience with pricing, setup cost, and licensing is that it is expensive to use all Oracle services.
Senior Data Scientist at a tech vendor with 10,001+ employees
Cohere's pricing, setup cost, and licensing are better.
Senior Solution Architect at Hitachi Systems India Private Ltd
The prices are competitive compared to competitors.
DevOps Engineer at CHI Software
 

Valuable Features

ChatGPT Team - Enterprise boosts team productivity through collaborative tools, custom AI, secure access, and enhanced communication for projects.
Cohere provides efficient, reliable, and cost-effective AI features enhancing business productivity through creative, structured, and secure applications.
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
This makes it very easy to find and use the catalog to determine whether existing functionality is already implemented, preventing redundant implementations.
Sr Test engineer at a tech vendor with 10,001+ employees
Cohere has positively impacted my organization by helping our customers work more efficiently when creating requests, and the embedding results are of very high quality.
DevOps Engineer at CHI Software
I noticed a 10% improvement in my log system after using Cohere.
Senior Data Scientist at a tech vendor with 10,001+ employees
 

Categories and Ranking

ChatGPT Team - Enterprise
Ranking in AI Writing Tools
2nd
Ranking in Large Language Models (LLMs)
2nd
Ranking in AI Proofreading Tools
2nd
Average Rating
8.6
Reviews Sentiment
5.3
Number of Reviews
16
Ranking in other categories
AI Code Assistants (5th)
Cohere
Ranking in AI Writing Tools
3rd
Ranking in Large Language Models (LLMs)
5th
Ranking in AI Proofreading Tools
5th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
AI Development Platforms (12th)
 

Mindshare comparison

As of February 2026, in the AI Writing Tools category, the mindshare of ChatGPT Team - Enterprise is 5.7%, up from 2.8% compared to the previous year. The mindshare of Cohere is 2.3%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Writing Tools Market Share Distribution
ProductMarket Share (%)
ChatGPT Team - Enterprise5.7%
Cohere2.3%
Other92.0%
AI Writing Tools
 

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.
AS
Engineer at Roche
Have improved project workflows using faster response times and reduced data embedding costs
One thing that Cohere can improve is related to some distances when I am trying similarity search. Let's suppose I have provided textual data that has been embedded. I have to use some extra process from numpy after embedding the model. In the case of OpenAI embedding models, I do not have to use that extra process, and they provide lower distances compared to my results from Cohere. I was getting distances of approximately 0.005 sometimes, but in the case of Cohere, I was getting distances around 0.5 or sometimes more than that. I think that can be improved. It was possibly because of some configuration or the way I was using it, but I am not exactly sure about that.
report
Use our free recommendation engine to learn which AI Writing Tools solutions are best for your needs.
881,733 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%
Manufacturing Company
10%
Marketing Services Firm
10%
Financial Services Firm
8%
Educational Organization
8%
 

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 Business2
Midsize Enterprise1
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 Cohere?
Compared to models available in the market, Cohere's pricing, setup cost, and licensing are better.
What needs improvement with Cohere?
Cohere could improve in areas where the command model is not as creative as some larger LLMs available in the market, which is expected but noticeable in open-ended generative tasks. Reporting and ...
What is your primary use case for Cohere?
We adopted Cohere primarily for their command model to support enterprise-grade text generation and NLP workflows. There was a use case for one of our customers where they required automated text g...
 

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
Information Not Available
Find out what your peers are saying about ChatGPT Team - Enterprise vs. Cohere and other solutions. Updated: December 2025.
881,733 professionals have used our research since 2012.