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Google Gemini AI vs Poe 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

Google Gemini AI
Average Rating
7.8
Reviews Sentiment
6.0
Number of Reviews
16
Ranking in other categories
AI Writing Tools (1st), AI Code Assistants (3rd), Large Language Models (LLMs) (1st), AI Proofreading Tools (1st)
Poe
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
AI-Powered Chatbots (7th)
 

Mindshare comparison

Google Gemini AI and Poe aren’t in the same category and serve different purposes. Google Gemini AI is designed for Large Language Models (LLMs) and holds a mindshare of 15.6%, down 31.8% compared to last year.
Poe, on the other hand, focuses on AI-Powered Chatbots, holds 8.9% mindshare, up 0.9% since last year.
Large Language Models (LLMs) Market Share Distribution
ProductMarket Share (%)
Google Gemini AI15.6%
Blackbox.ai18.0%
DeepSeek10.0%
Other56.4%
Large Language Models (LLMs)
AI-Powered Chatbots Market Share Distribution
ProductMarket Share (%)
Poe8.9%
DeepSeek5.9%
ServiceNow Virtual Agent5.1%
Other80.1%
AI-Powered Chatbots
 

Featured Reviews

Luís Silva - PeerSpot reviewer
Chief Technical Lead at a consultancy with 201-500 employees
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.
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Top Industries

By visitors reading reviews
University
11%
Computer Software Company
9%
Comms Service Provider
8%
Government
6%
University
13%
Financial Services Firm
12%
Educational Organization
11%
Comms Service Provider
8%
 

Company Size

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

Questions from the Community

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?
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. When in a room with Googl...
What is your primary use case for Google Gemini?
Google Gemini AI is used for common, basic digital assistant queries such as asking about the weather and the time. Often there are conflicting responses from Google Home, Google Home Mini, and the...
Ask a question
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Comparisons

 

Also Known As

Google Bard
No data available
 

Overview

Find out what your peers are saying about Google, OpenAI, Blackbox and others in Large Language Models (LLMs). Updated: December 2025.
881,082 professionals have used our research since 2012.