Try our new research platform with insights from 80,000+ expert users
Google Gemini Logo

Google Gemini Reviews

Vendor: Google
4.1 out of 5
Badge Ranked 1
Start review

What is Google Gemini?

Google Gemini is a powerful new family of large language models (LLMs) designed to be multimodal, meaning they can understand and process different types of information like text, code, audio, images, and video. It builds upon the previous LaMDA and PaLM 2 models, offering significant advancements in capability and safety.

Get the Google Gemini Buyer's Guide and find out what your peers are saying about Google Gemini and more!
Buyer's Guide
GitHub CoPilot vs. Google Gemini
February 2025
Get the report
Helped 842,672 peers since 2012

Featured Google Gemini reviews

Read more reviews

Google Gemini mindshare

As of March 2025, the mindshare of Google Gemini in the Large Language Models (LLMs) category stands at 12.5%, down from 50.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Large Language Models (LLMs)
 
 
Key learnings from peers

Valuable Features

Google Gemini excels with its multi-modal function, enhancing productivity and reducing costs. It offers advanced text writing and image generation capabilities, along with seamless integration into Google Workspace. Users appreciate its ability to handle large data sets, create custom chatbots, and provide accurate answers to queries. Its feature set includes summarization, language translation, and a real-time search module. Continuous improvement and integration within the Google ecosystem enhance its effectiveness.
  • "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."
  • "I would rate my overall experience with Google Gemini as a nine out of ten."
  • "Recently, Google Gemini has been very stable, without performance issues, even handling network problems smoothly with a retry."

Room for Improvement

Google Gemini's features could be enhanced by adding customization options and improving Canvas mode and web search tools. Users suggest increasing model justification and interpretability, enabling data export to Excel or Google Sheets, and supporting presentations in PowerPoint or Google Slides. Context length needs improvements as longer documents lose earlier context. Enhancing the binning process, especially for category grouping, is also advised.
  • "The binning process could be more intuitive, especially when grouping data into categories like age groups."
  • "Sometimes Google Gemini could hallucinate and provide incorrect information, which needs explanation for correction."
  • "Google Gemini needs more accurate answers and the ability to export data to Excel or Google Sheets."

Pricing

Users report that Google Gemini's pricing is generally perceived as reasonable, though some find it average compared to other solutions. While pricing for trials is seen as fair, ongoing subscriptions can be affected by currency fluctuations. Setup costs are noted as expensive. Although per license costs align with competitors, total expenses rise with more licenses. Additionally, Google Gemini offers a free version.

Popular Use Cases

Users utilize Google Gemini for diverse applications, including AI-powered conversations, leveraging federated models in financial services and marketing, organizing documents, and conducting literature searches. It aids in rewriting, extracting data, creating summaries, composing emails, performing data analysis, verifying information accuracy, and supporting functionalities in various applications.

Service and Support

Many find Google Gemini's customer service difficult to reach, affecting their rating. Yet, Google's support is often praised for being excellent and responsive, with a vibrant global community assisting in finding solutions. Those who haven’t required support rate it highly.

Deployment

Users found Google Gemini's initial setup straightforward and in line with Google's typical well-structured flows. Some noted Google Cloud environments can be tricky, but no major issues were reported. Many users highlighted that setup was easy and without challenges. Subscription activation was required, as no installation was necessary. Setup was quick, taking less than a minute.

Scalability

Google Gemini is praised for its excellent scalability supported by robust infrastructure. Users appreciate its ability to manage large and numerous PDF files effectively. Though scalability receives high ratings, ranging between seven to ten, some concerns arise regarding cost influenced by fluctuating foreign currency rates.

Stability

Google Gemini is consistently stable, receiving high marks for performance. Several users give it ten out of ten, appreciating its superior data storage and compute powers. No instability, bugs, or hallucinations are reported by many users, though some note occasional hallucinations typical of AI. Network issues are managed effectively, ensuring seamless operations. On the whole, users find Google Gemini's stability dependable and rate it positively.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Google Gemini Buyer's Guide for additional reliable information.

Top industries

By visitors reading reviews
University
13%
Computer Software Company
10%
Comms Service Provider
8%
Government
7%
Educational Organization
7%
Financial Services Firm
5%
Healthcare Company
5%
Non Profit
4%
Manufacturing Company
4%
Real Estate/Law Firm
4%
Construction Company
4%
Retailer
4%
Media Company
4%
Outsourcing Company
3%
Insurance Company
3%
Recreational Facilities/Services Company
2%
Performing Arts
2%
Wholesaler/Distributor
1%
Legal Firm
1%
Hospitality Company
1%
Pharma/Biotech Company
1%
Energy/Utilities Company
1%
Maritime Company
1%
Consumer Goods Company
1%
Agriculture
1%
Aerospace/Defense Firm
1%
Logistics Company
1%
Transportation Company
1%

Learn more about Google Gemini

Released in December 2023, Gemini comes in three versions: Ultra, Pro, and Nano. Ultra is the most powerful, tackling complex tasks, while Pro excels at scaling across various situations. Nano, the most efficient, runs directly on devices.

Key features include:

  • Multimodality: Seamlessly integrates and understands diverse information types.
  • Efficiency: Employs a "Mixture-of-Experts" architecture for resource optimization.
  • Safety: Underwent rigorous evaluations for bias, toxicity, and potential risks.
  • Accessibility: Available in different sizes to suit various needs and applications.

Google Gemini was previously known as Google Bard.

Related questions

  • 0
When evaluating Large Language Models (LLMs), what aspect do you think is the most important to look for?
  • 0
Why is Large Language Models (LLMs) important for companies?

Product Categories

Product Categories
Large Language Models (LLMs)
AI Writing Tools
AI Code Assistants
AI Proofreading Tools