Google Gemini Reviews

Name: Google Gemini
Brand: Google
Rating: 4.0 (11 reviews)

4.0 out of 5

11 reviews
90% willing to recommend

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.

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Google Gemini is the #1 ranked solution in Writing Tools, #1 ranked solution in top Large Language Models (LLMs) solutions, #1 ranked solution in top AI Proofreading Tools solutions, and #4 ranked solution in top AI Code Assistants solutions. PeerSpot users give Google Gemini an average rating of 8.0 out of 10. Google Gemini is most commonly compared to Cursor: Google Gemini vs Cursor. Google Gemini is popular among the large enterprise segment, accounting for 50% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a university, accounting for 12% of all views.

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Google Gemini vs. Honeycomb.io

April 2025

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Featured Google Gemini reviews

Luís Silva

Chief Technical Lead at Human Code

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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Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

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. It has a feature to place a slider on the screen that reports on world matters on a map. Additionally, Google Gemini offers advice on using tools like KNIME, enhancing its utility in professional settings.

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Malte Landwehr

Vice President, SEO at idealo Internet GmbH

If you are an Android user and all your data is in Google Cloud ( /products/google-cloud-reviews ), and you are using Google Workspace ( /products/google-workspace-reviews ) and Gmail, then Google Gemini is practical because it has access to all your data. However, if you are not on those infrastructures, like if you are an iPhone user or use Microsoft Teams ( /products/microsoft-teams-reviews ) and Outlook, then I would recommend ChatGPT instead. I would not use Google Gemini. Because the product is not terrible, but if you are not part of the Google ecosystem with Android and Gmail, or if you care about factual accuracy, the product is underwhelming. I would rate the overall solution a 5 out of 10.

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Google Gemini mindshare

Product category:

As of May 2025, the mindshare of Google Gemini in the Large Language Models (LLMs) category stands at 13.2%, 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

Last updated May 18, 2025

Valuable Features

Google Gemini offers multi-modal capabilities enhancing productivity. Users find the text writing, image generation, and PDF handling valuable. Seamless Google ecosystem integration allows efficient internal file access and data summarization. It excels in real-time conversation processing and intelligent responses. Its competitive cost and speed stand out. The AI capabilities, orchestration, and search efficiency enhance professional utility. Users experience significant time savings and improved workflow management with this AI tool.

"Google Gemini has the best combination of scalability, costs, performance, and accuracy."
"The most beneficial aspect of Google Gemini for me is that it's able to do searches much better."
"It is like having an expert at my fingertips for those out-of-scope queries."

Room for Improvement

Google Gemini users suggest improvements in functionality, including enhanced customization, model justification, and answer accuracy. They note issues with context length, factual accuracy, and data export capabilities. There is a call for a more intuitive interface for categorizing data and increased flexibility in research activities. Users report that Google Gemini sometimes produces incorrect or outdated results. They also desire more creativity without hallucinations, improved context size, and faster response times in this tool.

"There are scalability issues, and they are all related to what you can do within that context window of a million tokens."
"When I have reached out to Google Support, it's been very limiting. I would rate Google at about a five."
"Google Gemini often gets factual answers wrong, which is problematic."

ROI

Google Gemini's impact varied among users. Some reported enhanced internal activity and productivity with reduced costs and working hours. In contrast, others did not observe a positive return and reverted to ChatGPT. Some entities use the free model for development but face charges for production scenarios, with Google AI Studio being competitive. ROI analysis typically occurs pre-project to show value, yet many have not actively measured returns. Overall satisfaction ranges from moderate to high.

Pricing

Google Gemini's pricing is viewed as reasonable by enterprise users, though setup costs can be expensive. Pricing is generally aligned with other providers, despite challenges posed by currency fluctuations for ongoing subscriptions. While the per-license cost is comparable to alternatives, the cost accumulates with multiple licenses. Some find the pricing advantageous for trial purposes, appreciating discounts on selected features. Others compare Google Gemini favorably with ChatGPT, though more detailed usage cases are not extensively reported.

Popular Use Cases

Organizations utilize Google Gemini for AI and large language model applications in financial services, marketing, research, and document management. They employ it for conversation, data extraction, and document organization, enhancing their operations. Gemini supports complex queries, summarization, and intelligent search functions. It integrates with various platforms and facilitates research, decision-making, and application development. Users also leverage it for creating communication materials like emails and proposals, optimizing their workflow and resolving technical challenges.

Service and Support

Opinions about Google Gemini's customer service vary. Some rate responsiveness highly, praising the global community for facilitating easy problem-solving. Others experience challenges in reaching support, citing limitations. Many rely on Google’s self-service resources online, finding this adequate, though some prefer direct assistance. Experiences range from non-existent contact to perfect satisfaction. Multiple users rate Google's overall support between five and ten, with some suggesting competitors like Microsoft may offer more responsive assistance.

Deployment

Many found Google Gemini's initial setup straightforward, with no major challenges encountered. It aligns with typical Google flows and is comparable to other tools. Some mentioned the setup requiring only subscription activation. A few noted familiarity with AI is advantageous, as others might find it complex, although seamless integration with Google Workspace was appreciated. Developers appreciate it as a well-designed tool.

Scalability

Google Gemini demonstrates strong scalability with efficient handling of large files and quick execution of tasks. Concerns include costs due to currency shifts and context size limitations affecting information input. Users acknowledge techniques like RAG and Kada to address these challenges. Ratings vary, with some praising its robust infrastructure, while others highlight context constraints. The ease of scaling is appreciated, though diverse opinions on its extendibility exist, with mixed satisfaction levels expressed.

Stability

Users generally find Google Gemini to be highly stable, often rating it between eight and ten out of ten. It efficiently manages data storage, compute power, and network issues. While some note occasional hallucinations common to AI, many have not experienced them with Google Gemini. It performs reliably without instability or bugs, although a few users suggest ChatGPT might have a slight edge in stability. The tool functions as anticipated by its users.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

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Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

University

12%

Computer Software Company

11%

Comms Service Provider

Government

Educational Organization

Financial Services Firm

Healthcare Company

Non Profit

Construction Company

Retailer

Manufacturing Company

Real Estate/Law Firm

Media Company

Insurance Company

Outsourcing Company

Recreational Facilities/Services Company

Hospitality Company

Performing Arts

Legal Firm

Energy/Utilities Company

Wholesaler/Distributor

Pharma/Biotech Company

Consumer Goods Company

Maritime Company

Agriculture

Aerospace/Defense Firm

Logistics Company

Transportation Company

Compare Google Gemini with alternative products

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.