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Cohere Command R vs Google Gemini AI 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 Command R
Ranking in Large Language Models (LLMs)
12th
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Google Gemini AI
Ranking in Large Language Models (LLMs)
1st
Average Rating
8.0
Reviews Sentiment
5.3
Number of Reviews
17
Ranking in other categories
AI Writing Tools (1st), AI Code Assistants (3rd), AI Proofreading Tools (1st)
 

Mindshare comparison

As of March 2026, in the Large Language Models (LLMs) category, the mindshare of Cohere Command R is 0.6%. The mindshare of Google Gemini AI is 16.0%, up from 11.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Large Language Models (LLMs) Mindshare Distribution
ProductMindshare (%)
Google Gemini AI16.0%
Cohere Command R0.6%
Other83.4%
Large Language Models (LLMs)
 

Featured Reviews

Collins-Omondi - PeerSpot reviewer
Mobile Application Developer at Uamuzi Foundation
Chat sentiment analysis has supported hobby projects but pricing and setup still need improvement
Honestly, I have never needed technical support, but I think if you could improve on that, it would be acceptable. I do not know about the pricing; for me, it is kind of too much. Of course, I am using the free models, but if I could get the newer models, I think they are interesting. I know we are talking about Cohere Command R for now, but I think there are some other models that I have seen some interest in, like Embed 4. If the pricing could be adjusted, that would be better because the pricing is kind of high. Of course, it matters; for organizations, it is acceptable, but for personal use like mine, it is just a hobby project. Spending that much money on something that you do not earn from is not ideal. So for people testing or using it for hobby projects, I think you could reduce the pricing a bit. But for now, I am using Cohere Command R for free.
Uday Boya - PeerSpot reviewer
AI Research Enthusiast and Developer at ADP
AI workflows have transformed prototyping and coding productivity across my daily projects
There is a steeper learning curve for advanced agentic features that could be improved, and hallucinations should be reduced. The answers provided are long, which is impressive but not efficient for users needing rapid, crisp responses. Providing concise answers would improve the user experience. Google Gemini AI's UI code is too vague and the designs are not very appealing. Google Gemini AI can improve its UI code and address hallucination issues. The long answers provided can be tiresome to read, and the pricing is too high for individuals like me. These considerations led me to give a rating one point less than ten. Native GitHub or Vercel export could be integrated, and the context could be increased to over two million tokens. A simplified agentic setup for the UI could also help non-technical experts handle it more effectively.

Quotes from Members

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

Pros

"The best feature Cohere Command R offers is the latency, which is faster than other solutions I have tried and has improved the latency and our time to delivery."
"Personally, compared to other models, Cohere Command R is pretty easy to set up and good for what I need as of now."
"It is like having an expert at my fingertips for those out-of-scope queries."
"The main purpose of using the solution is to enhance internal activity and productivity, and I have seen many cases of reduced costs and working hours."
"The main benefits that Gemini brings to the table include definitely speeding things up significantly, and it is also introducing many new use cases that we were not able to work on earlier."
"I have seen many cases of reduced costs and working hours."
"Google provides an out-of-the-box solution with a comprehensive ecosystem of tools."
"I would rate my overall experience with Google Gemini as a nine out of ten."
"I'm impressed with its orchestration capabilities, which structure the workflow for research automatically and meaningfully, making it a helpful tool."
"Google Gemini has the best combination of scalability, costs, performance, and accuracy."
 

Cons

"I do not know about the pricing; for me, it is kind of too much."
"There are scalability issues, and they are all related to what you can do within that context window of a million tokens."
"Sometimes Google Gemini could hallucinate and provide incorrect information, which needs explanation for correction."
"Google can improve in model justification and interpretability of answers."
"Google Gemini could improve its functionalities compared to other tools like ChatGPT, especially in the customization options, Canvas mode, and web search tools, which aren't as advanced."
"When I have reached out to Google Support, it's been very limiting. I would rate Google at about a five."
"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."
"Google Gemini often gets factual answers wrong, which is problematic."
"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."
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Top Industries

By visitors reading reviews
Construction Company
43%
Healthcare Company
7%
University
7%
Computer Software Company
5%
University
11%
Computer Software Company
9%
Comms Service Provider
8%
Financial Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise6
Large Enterprise6
 

Questions from the Community

What is your experience regarding pricing and costs for Cohere Command R?
My experience with pricing, setup cost, and licensing is that it is good.
What needs improvement with Cohere Command R?
I do not know how Cohere Command R can be improved. I do not have anything at all I would like to see improved, even if it is something small.
What is your primary use case for Cohere Command R?
My main use case for Cohere Command R is for a GenAI application. For the RAG project, we are using Cohere Command R for the retrieval process.
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?
There is a steeper learning curve for advanced agentic features that could be improved, and hallucinations should be reduced. The answers provided are long, which is impressive but not efficient fo...
What is your primary use case for Google Gemini?
Google Gemini AI is my primary tool for office workflows at ADP, where I have evolved from using Gemini 1.5 Flash to Gemini 3 Pro. I started with personal prototyping during my 100-day journey of r...
 

Comparisons

No data available
 

Also Known As

No data available
Google Bard
 

Overview

Find out what your peers are saying about Google, OpenAI, Blackbox and others in Large Language Models (LLMs). Updated: March 2026.
885,311 professionals have used our research since 2012.