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Claude for Enterprise vs Cohere comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 4, 2026

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

Claude for Enterprise
Ranking in AI Writing Tools
7th
Ranking in Large Language Models (LLMs)
6th
Ranking in AI Proofreading Tools
4th
Average Rating
7.0
Reviews Sentiment
5.1
Number of Reviews
3
Ranking in other categories
AI-Powered Chatbots (5th), AI Code Assistants (7th), AI Software Development (13th), AI Content Creation (7th), AI Research (2nd)
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 January 2026, in the AI Writing Tools category, the mindshare of Claude for Enterprise is 7.9%, up from 1.7% compared to the previous year. The mindshare of Cohere is 1.9%, 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 (%)
Cohere1.9%
Claude for Enterprise7.9%
Other90.2%
AI Writing Tools
 

Featured Reviews

Nishant Thakkar - PeerSpot reviewer
Senior Analyst at WTW
Data visualization and workflow efficiency improve with automated features
I do not have a business relationship with this vendor other than being a customer, and I was not offered a gift card or incentive for this review. We use other tech products such as Microsoft Excel and Slack. We can use my real name when publishing my review, along with my real company name. On a scale of 1-10, I rate Claude an 8.
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.

Quotes from Members

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

Pros

"Claude has positively impacted my organization, as evident from the metrics which show productivity doubling and turnaround time being cut in half."
"Claude saves me significant time when conducting research or writing quick Python scripts."
"Overall, I rate Claude nine out of ten."
"The very first thing that I really like about it is the support team. They're really available on Discord, and they answer all of your questions."
"Cohere positively impacted my organization by improving the performance of my RAG system."
"Cohere's Embed English v3.0 is a cloud-hosted model that took less time to embed the textual data and was more than 50 to 60% faster than other models, even somewhat faster than text-embedding-3 from OpenAI, helping to reduce development and embedding times."
"When it creates a new test, it creates it almost 70 to 80% correctly without errors; the time savings are significant—what previously took one or two days can now be completed in two to three hours maximum."
"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."
"Cohere helped us with all three aspects: money is saved, time is saved, and we needed fewer resources to meet our end goals."
"The best feature Cohere offers is the Reranking model."
"Speed has helped me in my day-to-day work, and I really notice the difference because it responds very quickly to LLM requests."
 

Cons

"The foundational model would have to be improved to be comparable to ChatGPT for everyday use cases."
"The product could be improved by offering automatic integration with other solutions, such as the ability to read Excel or text files and automate processes this way."
"It's challenging for us to make a conclusion about quality enhancement by using reranking models, as solid evaluation methodology for reranking is still immature."
"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."
"I believe Cohere can be improved technically by providing more feedback, logs, and metrics for embedding requests, as it currently appears to be a black box without any understanding of quality."
"When performing similarity matching between text descriptions and the catalog descriptions created using Cohere, the matching could be improved."
"One thing that Cohere can improve is related to some distances when I am trying similarity search."
"Cohere has text generation. I think it is mainly focused on AI search. If there was a way to combine the searches with images, I think it would be nice to include that."
"The documentation and support could be improved, as there is limited documentation available on the web."
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Top Industries

By visitors reading reviews
Computer Software Company
10%
Financial Services Firm
8%
University
8%
Comms Service Provider
8%
Manufacturing Company
11%
Educational Organization
8%
Financial Services Firm
8%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise6
 

Questions from the Community

What is your experience regarding pricing and costs for Claude?
For an individual user, it is very easy and straightforward. I cannot speak to larger teams.
What needs improvement with Claude?
The foundational model would have to be improved to be comparable to ChatGPT for everyday use cases. The system should be better at understanding when to reply directly with the foundational model ...
What is your primary use case for Claude?
I primarily use Claude for developing quick Python scripts, conducting research, and getting answers to complex questions. Claude saves me significant time when conducting research or writing quick...
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

Anthropic Claude 3 Haiku
No data available
 

Overview

Find out what your peers are saying about Claude for Enterprise vs. Cohere and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.