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DeepSeek vs Google Gemini AI comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Feb 15, 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

DeepSeek
Ranking in Large Language Models (LLMs)
5th
Average Rating
3.0
Reviews Sentiment
7.9
Number of Reviews
1
Ranking in other categories
AI-Powered Chatbots (4th)
Google Gemini AI
Ranking in Large Language Models (LLMs)
1st
Average Rating
8.0
Reviews Sentiment
5.0
Number of Reviews
18
Ranking in other categories
AI Writing Tools (1st), AI Code Assistants (5th), AI Proofreading Tools (1st)
 

Mindshare comparison

As of November 2026, in the Large Language Models (LLMs) category, the mindshare of DeepSeek is 10.0%, down from 12.1% compared to the previous year. The mindshare of Google Gemini AI is 14.2%, down from 16.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Large Language Models (LLMs) Mindshare Distribution
ProductMindshare (%)
Google Gemini AI14.2%
DeepSeek10.0%
Other75.8%
Large Language Models (LLMs)
 

Featured Reviews

Malte Landwehr - PeerSpot reviewer
Vice President, Seo at idealo Internet GmbH
Experience frequent delays and privacy concerns with current research tool
I advise not to use the web interface or the mobile app. If you think you should use it, use the self-hosted version. I gave DeepSeek a rating of 3 out of 10 because the core product, when it works, is actually good. But so often it's not working that I just can't give it a higher score.
Boya Uday Kumar - 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

"DeepSeek makes its reasoning traces public."
"I'm impressed with its orchestration capabilities, which structure the workflow for research automatically and meaningfully, making it a helpful tool."
"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 would rate my overall experience with Google Gemini as a nine out of ten."
"Google Gemini AI is better in terms of searching the web, considering that Google Gemini AI is a property of Google, and the search results when looking for answers from the web are superior compared to those given by Alexa."
"The best features for my use cases with Google Gemini are its dynamic LLM model that can perform dynamic searches, which is wonderful for factual searches to understand numbers and to generate real-time answers."
"Recently, Google Gemini has been very stable, without performance issues, even handling network problems smoothly with a retry."
"Google Gemini AI positively impacts our organization as it eases the work, which is a positive aspect that has improved our day-to-day activity."
"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."
 

Cons

"The product is often extremely slow, and queries frequently fail due to system overload."
"Google can improve in model justification and interpretability of answers. I still perceive Google Gemini, in some instances, as a kind of black box."
"I have compared responses from Gemini and ChatGPT and received similar results but presented differently, and every tool has its uniqueness; it is good, and I am enjoying using both tools, but most often I use ChatGPT because I haven't used Gemini recently."
"Gemini 3 Pro is too expensive for individuals like me, costing about thirty dollars per user per month, and its responses tend to be long, requiring users to read considerably more than other models that provide crisper answers."
"Currently, it operates mostly autonomously, and while it provides structured activities, making the research configuration more accessible and flexible would be beneficial."
"When I have reached out to Google Support, it's been very limiting. I would rate Google at about a five."
"Sometimes there is some difficulty while understanding the issue and the technical jargon, but otherwise it is all good."
"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."
"There are scalability issues, and they are all related to what you can do within that context window of a million tokens."
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920,769 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
University
16%
Educational Organization
12%
Comms Service Provider
10%
Manufacturing Company
9%
Comms Service Provider
11%
University
8%
Financial Services Firm
8%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise6
Large Enterprise8
 

Questions from the Community

What needs improvement with DeepSeek?
I have data privacy concerns. The product is often extremely slow, and queries frequently fail due to system overload. DeepSeek needs to improve in stability, uptime, speed, and ensuring the tool i...
What is your primary use case for DeepSeek?
I use DeepSeek ( /products/deepseek-reviews ) for conducting research on complex questions and performing reasoning on complex questions. There have been countless instances where I needed to find ...
What advice do you have for others considering DeepSeek?
I advise not to use the web interface or the mobile app. If you think you should use it, use the self-hosted version. I gave DeepSeek a rating of 3 out of 10 because the core product, when it works...
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?
Sometimes there is some difficulty while understanding the issue and the technical jargon, but otherwise it is all good. It is not a 10 for me because some features need to be improved on the techn...
What is your primary use case for Google Gemini?
I use Google Gemini AI to get ticket details, older tickets, and suggestions on what needs to be done and the email format. Google Gemini AI is a tool which is integrated with the Enterprise cloud....
 

Comparisons

 

Also Known As

No data available
Gemini, Google Bard
 

Overview

Find out what your peers are saying about Google, OpenAI, Cohere and others in Large Language Models (LLMs). Updated: October 2026.
920,769 professionals have used our research since 2012.