No more typing reviews! Try our Samantha, our new voice AI agent.

Cohere vs QuillBot comparison

 

Comparison Buyer's Guide

Executive Summary

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

Cohere
Ranking in AI Writing Tools
3rd
Ranking in AI Proofreading Tools
4th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
10
Ranking in other categories
AI Development Platforms (8th), Large Language Models (LLMs) (3rd)
QuillBot
Ranking in AI Writing Tools
6th
Ranking in AI Proofreading Tools
7th
Average Rating
8.6
Reviews Sentiment
4.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2026, in the AI Writing Tools category, the mindshare of Cohere is 3.8%, up from 1.0% compared to the previous year. The mindshare of QuillBot is 5.5%, down from 11.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Writing Tools Mindshare Distribution
ProductMindshare (%)
Cohere3.8%
QuillBot5.5%
Other90.7%
AI Writing Tools
 

Featured Reviews

Singh Aman - PeerSpot reviewer
Generative AI Engineer at Tata Consultancy
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.
Sai  - PeerSpot reviewer
Ai/Data Analyst at CSD
Writing clarity has improved and I polish reports and emails faster under time pressure
QuillBot is really helpful overall, but there are a few things that can be a bit frustrating. Sometimes the paraphrasing can feel too robotic or slightly off in tone, so I have to go back and tweak it to make it sound more my own. It does not always fully capture the exact meaning or context, especially with more complex sentences. Another thing is that stronger paraphrasing modes can change the sentence too much, which is not always what I want. I usually have to adjust the synonym level to keep it balanced. Also, for longer pieces of writing, it can feel a bit chunky since I have to do it paragraph by paragraph instead of refining everything smoothly at once. It is a great tool, but I still see it as more of a helper rather than something I can rely on completely without editing.

Quotes from Members

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

Pros

"Cohere positively impacted my organization by improving the performance of my RAG system."
"A key advantage of integrating Cohere’s reranking model is that it aligns with client requests to include a reranking module — a widely recognized method for improving RAG quality. Additionally, the API demonstrates strong performance in terms of response speed."
"Cohere helped us with all three aspects: money is saved, time is saved, and we needed fewer resources to meet our end goals."
"Speed has helped me in my day-to-day work, and I really notice the difference because it responds very quickly to LLM requests."
"Cohere has helped my organization innovate and stay ahead in our industry as Cohere was better than Titan, and it helped us to secure the client's confidence and we moved from proof of concept to production."
"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."
"The best feature Cohere offers is the Reranking model."
"QuillBot is highly relevant in today's environment as it improves communication quality, enhances writing clarity, and helps professionals create accurate and polished content efficiently."
"QuillBot has had a pretty positive impact on both my work and studies currently, mainly by saving time and helping me feel more confident in my writing."
 

Cons

"Cohere can be improved by having more integrations beyond its current offerings with Amazon."
"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."
"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."
"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."
"The documentation and support could be improved, as there is limited documentation available on the web."
"One thing that Cohere can improve is related to some distances when I am trying similarity search."
"When performing similarity matching between text descriptions and the catalog descriptions created using Cohere, the matching could be improved."
"I have not observed any measurable benefits or return on investment with Cohere."
"Sometimes the paraphrasing can feel too robotic or slightly off in tone, so I have to go back and tweak it to make it sound more my own."
"Overdependence can reduce writing skills, and sometimes the meaning may slightly change, so a manual check is needed before sending emails."
report
Use our free recommendation engine to learn which AI Writing Tools solutions are best for your needs.
902,894 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
9%
Construction Company
8%
Comms Service Provider
7%
University
24%
Outsourcing Company
14%
Manufacturing Company
10%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise8
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Cohere?
My experience with pricing, setup cost, and licensing was that it was all managed by AWS, and we had AWS credits, so I did not have to dive into that.
What needs improvement with Cohere?
Cohere can be improved by having more integrations beyond its current offerings with Amazon. Integrations with Databricks, Azure, and Google Cloud would be beneficial.
What is your primary use case for Cohere?
My main use case for Cohere is that it's a good embedding model. I have used it with Titan, but Cohere came out better. A specific example of how I've used Cohere for embeddings is when I was worki...
What needs improvement with QuillBot?
QuillBot is a highly effective writing tool. However, it can be improved by enhancing contextual accuracy, reducing dependency on manual review, and expanding features in the free version.
What is your primary use case for QuillBot?
I typically use QuillBot for grammar checking and fixing grammar and spelling mistakes, which is useful for professional emails. Whenever I write mail, QuillBot transforms the text into professiona...
What advice do you have for others considering QuillBot?
QuillBot should be used as a support tool to enhance writing quality efficiently, but users should always review the output to ensure accuracy and context. QuillBot is highly relevant in today's en...
 

Comparisons

 

Overview

Find out what your peers are saying about Cohere vs. QuillBot and other solutions. Updated: June 2026.
902,894 professionals have used our research since 2012.