Claude vs Google Gemini comparison

Anthropic and Google are both solutions in the Large Language Models (LLMs) category. Anthropic is ranked #6, while Google is ranked #1 with an average rating of 8.3. Anthropic holds a 10.0% mindshare in LLM, compared to Google’s 14.2% mindshare. Additionally, 90% of Google users are willing to recommend the solution.

Claude

Read 1 Claude review

59 Views
57 Comparison Views

0% willing to recommend

Google Gemini

Read 11 Google Gemini reviews

84 Views
75 Comparison Views

90% willing to recommend

Claude

Google Gemini

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

Claude

Ranking in AI Writing Tools

11th

Ranking in AI Code Assistants

5th

Ranking in Large Language Models (LLMs)

6th

Ranking in AI Proofreading Tools

8th

Average Rating

0.0

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

AI-Powered Chatbots (23rd)

Google Gemini

Ranking in AI Writing Tools

1st

Ranking in AI Code Assistants

4th

Ranking in Large Language Models (LLMs)

1st

Ranking in AI Proofreading Tools

1st

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the Large Language Models (LLMs) category, the mindshare of Claude is 10.0%. The mindshare of Google Gemini is 14.2%, down from 50.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Large Language Models (LLMs)

Featured Reviews

reviewer2203806

Country Manager at a tech services company with 1-10 employees

AI generates human-like responses and automates tasks efficiently

The product could be improved by offering automatic integration with other solutions, such as the ability to read Excel or text files and automate processes this way. Currently, additional solutions are needed to integrate these types of tools. If I want to read a spreadsheet from Google and pose a human-like question, I need to integrate two or three AI solutions. Security is also a concern. AI solutions currently lack security in their processing. If I need to access my confidential information and the AI solution accesses and displays it in responses for everyone, it is not the ideal scenario. Developing solutions to ensure security is crucial, although it is not their main objective at the moment.

Read full review

Luís Silva

Chief Technical Lead at Human Code

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.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Overall, I rate Claude nine out of ten."

"Recently, Google Gemini has been very stable, without performance issues, even handling network problems smoothly with a retry."

"Google provides an out-of-the-box solution with a comprehensive ecosystem of tools."

"Google Gemini uses all the data that Google has produced."

"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."

"It is like having an expert at my fingertips for those out-of-scope queries."

"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."

"Google Gemini has the best combination of scalability, costs, performance, and accuracy."

More Google Gemini pros

Cons

"The product could be improved by offering automatic integration with other solutions, such as the ability to read Excel or text files and automate processes this way."

"I do not have a special recommendation for improvement."

"When I have reached out to Google Support, it's been very limiting. I would rate Google at about a five."

"Google can improve in model justification and interpretability of answers."

"Google Gemini needs more accurate answers and the ability to export data to Excel or Google Sheets."

"Currently, it operates mostly autonomously, and while it provides structured activities, making the research configuration more accessible and flexible would be beneficial."

"Google Gemini often gets factual answers wrong, which is problematic."

"There are scalability issues, and they are all related to what you can do within that context window of a million tokens."

"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."

More Google Gemini cons

See which vendors are best for you

Use our free recommendation engine to learn which Large Language Models (LLMs) solutions are best for your needs.

See recommendations

853,868 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

14%

Comms Service Provider

University

Financial Services Firm

University

12%

Computer Software Company

11%

Comms Service Provider

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Claude?

The pricing is standard for the markets. It is not a monthly price, but a bucket with dollars for usage. If I make too many queries, I consume more of my budget on the platform.

See all answers

What needs improvement with Claude?

See all answers

What is your primary use case for Claude?

I primarily work on creating labs and testing cases. I generate agents for specific topics. If I want to develop an application, I use a specific prompt and utilize it as an agent to address a spec...

See all answers

What is your experience regarding pricing and costs for Google Gemini?

The pricing for Google Gemini is in line with other providers, harmonized. The feature of Gemini 2.5 research is highly discounted, but I understand costs may increase as features are released unde...

See all answers

What needs improvement with Google Gemini?

There are ways to better enable and provide greater flexibility for experts to be more actively involved. Currently, it operates mostly autonomously, and while it provides structured activities, ma...

See all answers

What is your primary use case for Google Gemini?

I use and actively participate in Google Gemini research, specifically the Gemini 2.5 pro-research model. I conduct strategic and tactical research in various areas.

See all answers

Comparisons

Cursor vs Claude

Compared 33% of the time

Codeium vs Claude

Compared 14% of the time

GitHub CoPilot vs Claude

Compared 12% of the time

Tabnine vs Claude

Compared 6% of the time

Qodo Gen vs Claude

Compared 5% of the time

More Claude Competitors

Cursor vs Google Gemini

Compared 32% of the time

Grammarly vs Google Gemini

Compared 31% of the time

Jasper vs Google Gemini

Compared 10% of the time

QuillBot vs Google Gemini

Compared 7% of the time

Sudowrite vs Google Gemini

Compared 3% of the time

More Google Gemini Competitors

Product Reports

Buyer's Guide

AI-Powered Chatbots

May 2025

Download Claude product report

Buyer's Guide

GitHub CoPilot vs. Google Gemini

April 2025

Download Google Gemini product report

Also Known As

No data available

Google Bard

Overview

Claude is acclaimed for its advanced language understanding and efficient text generation, significantly enhancing organizational productivity and content creation across different industries. With capabilities extending to data analysis, customer support automation, and real-time language translation, Claude supports a variety of tasks, streamlining workflows and offering human-like text outputs that improve user interaction and decision-making.

Anthropic

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.

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

See our list of best Large Language Models (LLMs) vendors, best AI Writing Tools vendors, and best AI Code Assistants vendors.

We monitor all Large Language Models (LLMs) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.