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Cohere 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

Cohere
Ranking in AI Writing Tools
9th
Ranking in Large Language Models (LLMs)
6th
Ranking in AI Proofreading Tools
8th
Average Rating
7.0
Reviews Sentiment
7.7
Number of Reviews
2
Ranking in other categories
AI Development Platforms (19th)
Google Gemini AI
Ranking in AI Writing Tools
1st
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
AI Code Assistants (3rd)
 

Mindshare comparison

As of October 2025, in the Large Language Models (LLMs) category, the mindshare of Cohere is 6.6%. 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%
Cohere6.6%
Other76.8%
Large Language Models (LLMs)
 

Featured Reviews

Gokul Anil - PeerSpot reviewer
Has streamlined test creation and analysis while needing better semantic accuracy for specific domain knowledge
Cohere is very useful because I have been in scenarios where code was written with multiple reusable concepts containing many functionalities covered as different functions, but without descriptions of what particular functions were doing. We used Cohere intelligence and its knowledge on Oracle ERP PPM, and it was able to read through all the TypeScript code and create descriptions intelligently, which were almost 90% correct when reviewed. It was very useful because we had 500-plus reusables, and it was able to analyze all of them and put them into a catalog. This makes it very easy to find and use the catalog to determine whether existing functionality is already implemented, preventing redundant implementations. 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. We can complete many more tests in a day or sprint with Cohere's help. Along with test automation, we handle analysis tasks, and now we have more time for better analysis. We are planning to implement test analysis capabilities as well. Once you receive the requirements and test cases, you can directly use them as input, and it will generate all artifacts and test data.
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

"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."
"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."
"Google Gemini uses all the data that Google has produced."
"Recently, Google Gemini has been very stable, without performance issues, even handling network problems smoothly with a retry."
"I would rate my overall experience with Google Gemini as a nine out of ten."
"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 provides an out-of-the-box solution with a comprehensive ecosystem of tools."
"I'm impressed with its orchestration capabilities, which structure the workflow for research automatically and meaningfully, making it a helpful tool."
"The most beneficial aspect of Google Gemini for me is that it's able to do searches much better."
"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."
 

Cons

"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."
"When performing similarity matching between text descriptions and the catalog descriptions created using Cohere, the matching could be improved."
"I do not have a special recommendation for improvement."
"Google Gemini often gets factual answers wrong, which is problematic."
"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."
"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."
"Sometimes Google Gemini could hallucinate and provide incorrect information, which needs explanation for correction."
"Currently, it operates mostly autonomously, and while it provides structured activities, making the research configuration more accessible and flexible would be beneficial."
"There are scalability issues, and they are all related to what you can do within that context window of a million tokens."
"Google can improve in model justification and interpretability of answers."
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Top Industries

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

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise6
Large Enterprise4
 

Questions from the Community

What is your experience regarding pricing and costs for Cohere?
Cohere has a free tier. You can use the API in development mode, so you can just use it for free. But if you go to production, you will have to pay. I would advise someone to really consider it fir...
What needs improvement with Cohere?
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.
What is your primary use case for Cohere?
I use it for a personal project, a Discord bot for my Discord server. I haven't used it that much, but so far it's amazing. I like the support team. They are very good.
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...
 

Comparisons

 

Also Known As

No data available
Google Bard
 

Overview