GitHub CoPilot vs Google Gemini AI comparison

GitHub and Google are both solutions in the AI Code Assistants category. GitHub is ranked #2 with an average rating of 8.2, while Google is ranked #3 with an average rating of 7.9. GitHub holds a 6.9% mindshare in AICA, compared to Google’s 6.8% mindshare. Additionally, 96% of GitHub users are willing to recommend the solution, compared to 86% of Google users who would recommend it.

GitHub CoPilot

Read 30 GitHub CoPilot reviews

4,408 Views
1,455 Comparison Views

96% willing to recommend

Google Gemini AI

Read 16 Google Gemini AI reviews

4,201 Views
1,386 Comparison Views

86% willing to recommend

GitHub CoPilot

Google Gemini AI

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Executive SummaryUpdated on Nov 9, 2025

GitHub CoPilot and Google Gemini AI are advanced AI-driven productivity tools competing in the realm of development and data handling. While GitHub CoPilot has an advantage in IDE integration and code completion for developers, Google Gemini stands out with superior multimodal capabilities for diverse applications.

Features: GitHub CoPilot enhances coding productivity with context-aware suggestions and seamless IDE integration, supporting tasks like code generation, review, and debugging. It offers multi-language support and allows integration with IDEs such as Visual Studio Code, which is beneficial for complex projects. Google Gemini excels in handling text, image, and document prompts due to its multimodal large language model, proving versatile for complex data tasks and integration within Google's ecosystem.

Room for Improvement: GitHub CoPilot could improve the accuracy and relevance of suggestions and expand support for multiple files and complex codebases. Developers desire broader IDE integration and more refined management of AI suggestions. Google Gemini AI needs to improve handling of factual accuracy in long documents and enhance creativity for marketing tasks, also simplifying its setup process could benefit users.

Ease of Deployment and Customer Service: Both tools favor cloud deployment with GitHub CoPilot offering flexibility with on-premises options, whereas Google's hybrid model provides more choices with potential complexity. Community support for GitHub is robust, while Google's support ecosystem benefits from comprehensive platform offerings despite the complexity of its setup.

Pricing and ROI: GitHub CoPilot is competitively priced with flexible plans, providing good value especially for organizations due to productivity gains, though costly for personal use. Its ROI is significant in large-scale settings. Google Gemini offers moderate pricing, with trial costs seen as reasonable, yet full-scale deployments could be expensive. The effective handling of multimodal tasks boosts its ROI, despite some data accuracy concerns.

To learn more, read our detailed GitHub CoPilot vs. Google Gemini AI Report (Updated: December 2025).

Buyer's Guide

GitHub CoPilot vs. Google Gemini AI

December 2025

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Review summaries and opinions

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

ROI

Sentiment score

7.3

GitHub CoPilot boosts productivity and reduces costs with up to 500% return, improving customer experience and documentation efficiency.

Sentiment score

3.9

Google Gemini AI improves productivity and efficiency but can incur costs, with variable financial impacts and competitive market standing.

Efficiencies with GitHub CoPilot have improved by 30%, which means a quicker go-to market and a simplified way of documenting technical designs.

BhavneetKaur

Vice President of Products at C5i

For more quotes and insights, download the GitHub CoPilot report

For some of the models it's actually free. It doesn't cost anything, but once you get to production scenarios in which you have to use the API, you have to pay.

Luís Silva

Chief Technical Lead at a consultancy with 201-500 employees

For more quotes and insights, download the Google Gemini AI report

Customer Service

Sentiment score

4.6

Users have mixed experiences with GitHub CoPilot support, praising community help but noting occasional response delays and onboarding improvements.

Sentiment score

4.0

Customers have mixed feelings about Google Gemini AI support, appreciating online resources but noting potential accessibility issues.

With a large user base, it covers a wide range of questions, from simple to complex, ensuring that answers are available.

TarunRevalla

Software Engineer at a tech vendor with 1,001-5,000 employees

GitHub technical support is excellent.

Majd Alasfar

AppSec engineer at EastNets Holding Ltd.

For more quotes and insights, download the GitHub CoPilot report

They rely on a self-service approach, providing a lot of information online through blogs and documents.

Boris-Vishnevsky

CTO at AlphaNuTech

Microsoft has done better, though they're not great at it, but they seem to be more responsive.

Marcus Vandenbent

Senior Consultant at a outsourcing company with 201-500 employees

it's really difficult to reach them

Pranay Suyash

Chief Technology Officer at MedPiper Technologies Inc

For more quotes and insights, download the Google Gemini AI report

Scalability Issues

Sentiment score

6.9

GitHub CoPilot scales effectively, providing easy cloud-based scalability and flexibility, despite occasional traffic issues and automation challenges.

Sentiment score

5.9

Google Gemini AI is praised for scalability but faces concerns over context size, costs, and computing power limitations.

It cannot be fully depended on to build every component and run a large enterprise application without significant human intervention.

BhavneetKaur

Vice President of Products at C5i

With an enterprise plan, there are no limitations, so scalability is not an issue.

TarunRevalla

Software Engineer at a tech vendor with 1,001-5,000 employees

It is quite easy to scale.

TusharShankar

QA Manager at Synechron

For more quotes and insights, download the GitHub CoPilot report

Google Gemini handles multiple PDF files and big files efficiently.

Moataz Ismail

Director at a tech services company with 501-1,000 employees

It can conduct research quickly, taking only five to seven minutes to produce a ten-page research document with a reasonable executive summary.

Boris-Vishnevsky

CTO at AlphaNuTech

If you want to grow the amount of information that you want to insert into the model before you provide an answer, you have to use different techniques.

Luís Silva

Chief Technical Lead at a consultancy with 201-500 employees

For more quotes and insights, download the Google Gemini AI report

Stability Issues

Sentiment score

7.3

GitHub CoPilot is generally stable, rated highly by users, with minor connectivity issues noted primarily in large enterprises.

Sentiment score

7.1

Google Gemini AI is praised for its stable, reliable performance, with minor concerns about occasional hallucinations and alternatives.

In most cases, it does not generate irrelevant code.

TarunRevalla

Software Engineer at a tech vendor with 1,001-5,000 employees

At certain times, you may not get the required response and realize it's either down or not responding for other reasons.

BhavneetKaur

Vice President of Products at C5i

For more quotes and insights, download the GitHub CoPilot report

Everything I've tried so far works without instability, bugs, or hallucinations.

Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

Recently, Google Gemini has been very stable, without performance issues.

Moataz Ismail

Director at a tech services company with 501-1,000 employees

For more quotes and insights, download the Google Gemini AI report

Room For Improvement

GitHub CoPilot needs better language support, IDE integration, user control, contextual accuracy, debugging, and technology support with cost concerns.

Google Gemini AI needs better customization, response speed, integration, code generation, and creative accuracy to improve user satisfaction.

Users should not be 100% reliant on AI or any LLMs. They need to work on it and they need to review the code.

TusharShankar

QA Manager at Synechron

There is excellent support across various code editors like JetBrains, VS Code, and NeoGen.

TarunRevalla

Software Engineer at a tech vendor with 1,001-5,000 employees

To understand our application better and learn from it would likely require access to the entire codebase, which a lot of companies may not allow.

BhavneetKaur

Vice President of Products at C5i

For more quotes and insights, download the GitHub CoPilot report

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

Moataz Ismail

Director at a tech services company with 501-1,000 employees

When working on a 20-page document, Google Gemini sometimes loses context about earlier parts.

Pranay Suyash

Chief Technology Officer at MedPiper Technologies Inc

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

Boris-Vishnevsky

CTO at AlphaNuTech

For more quotes and insights, download the Google Gemini AI report

Setup Cost

GitHub CoPilot offers a free version, personal and enterprise pricing, with varied perceptions on its value and affordability.

Google Gemini AI pricing is competitive but can become costly with multiple licenses due to currency fluctuations.

They recently made Copilot free to use up to a certain limit, which is a positive change.

TarunRevalla

Software Engineer at a tech vendor with 1,001-5,000 employees

The kind of use that I am having with a $20-30 license, I think it is really of really good help.

TusharShankar

QA Manager at Synechron

For more quotes and insights, download the GitHub CoPilot report

Google Gemini is free.

Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

The per license cost is on par with others, but with the number of licenses, it becomes expensive.

Pranay Suyash

Chief Technology Officer at MedPiper Technologies Inc

The feature of Gemini 2.5 research is highly discounted.

Boris-Vishnevsky

CTO at AlphaNuTech

For more quotes and insights, download the Google Gemini AI report

Valuable Features

GitHub CoPilot boosts coding productivity with AI-driven suggestions, multi-language support, and IDE integration for efficient development.

Google Gemini AI enhances productivity with multi-modal features, automation, and seamless Google services integration for efficient task management.

It is certainly time-saving; we have seen upwards of around 30% plus of time savings using GitHub CoPilot.

BhavneetKaur

Vice President of Products at C5i

Things which were taking like two days are now finished within half an hour.

TusharShankar

QA Manager at Synechron

Copilot is integrated into my environment, providing the context and the bigger picture of how the code is used throughout the project.

TarunRevalla

Software Engineer at a tech vendor with 1,001-5,000 employees

For more quotes and insights, download the GitHub CoPilot report

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.

Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

The AI capabilities of Google Gemini are a multi-modal LLM which allows me to pass documents, images, and texts in the same prompt.

Luís Silva

Chief Technical Lead at a consultancy with 201-500 employees

It provides an experimental search module capable of scanning hundreds of websites to deliver summarized data.

Moataz Ismail

Director at a tech services company with 501-1,000 employees

For more quotes and insights, download the Google Gemini AI report

Categories and Ranking

GitHub CoPilot

Ranking in AI Code Assistants

2nd

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Rapid Application Development Software (8th)

Google Gemini AI

Ranking in AI Code Assistants

3rd

Average Rating

7.8

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

AI Writing Tools (1st), Large Language Models (LLMs) (1st), AI Proofreading Tools (1st)

Mindshare comparison

As of December 2025, in the AI Code Assistants category, the mindshare of GitHub CoPilot is 6.9%, up from 5.5% compared to the previous year. The mindshare of Google Gemini AI is 6.8%, up from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Code Assistants Market Share Distribution
Product	Market Share (%)
GitHub CoPilot	6.9%
Google Gemini AI	6.8%
Other	86.3%

AI Code Assistants

Featured Reviews

TusharShankar

QA Manager at Synechron

AI coding assistant has transformed development speed and supports learning new languages

Any technology comes with two things, or rather anything in this world has both sides, good and bad. LLMs also have the same thing. The bad part is for a person who is 100% dependent on AI because they won't be able to learn more if they are 100% dependent on that. The main thing is that there has to be restraint from our side. I won't say it is from the tool side, but from our side, we need to learn and we need to work on it. We need to review the code. That is one thing that we need to do from our end. From a technology perspective, it is designed to help us out, and it is totally on our side of thinking about how exactly we are going to use that. There is not any area for improvement from the tool side, but it is from the users altogether. Users should not be 100% reliant on AI or any LLMs. They need to work on it and they need to review the code.

Read full review

Luís Silva

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.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Computer Software Company

11%

University

11%

Comms Service Provider

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	14
Midsize Enterprise	2
Large Enterprise	14

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	6
Large Enterprise	5

Questions from the Community

What do you like most about GitHub CoPilot?

The product is easy to integrate.

See all answers

What is your experience regarding pricing and costs for GitHub CoPilot?

I am not fully aware of the pricing details as my company manages it, but I recall it was not inexpensive.

See all answers

What needs improvement with GitHub CoPilot?

GitHub CoPilot should be integrated with different IDEs beyond VS Code, as it is currently only supported by VS Code.

See all answers

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.

See all answers

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...

See all answers

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...

See all answers

Comparisons

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Compared 23% of the time

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Compared 12% of the time

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Compared 7% of the time

Oracle Application Express (APEX) vs GitHub CoPilot

Compared 6% of the time

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Compared 2% of the time

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Compared 30% of the time

Grammarly Pro - Enterprise vs Google Gemini AI

Compared 18% of the time

Jasper vs Google Gemini AI

Compared 6% of the time

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Compared 4% of the time

You.com vs Google Gemini AI

Compared 2% of the time

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Product Reports

Buyer's Guide

GitHub CoPilot

December 2025

Download GitHub CoPilot product report

Buyer's Guide

Google Gemini AI

December 2025

Download Google Gemini AI product report

Also Known As

No data available

Google Bard

Overview

GitHub CoPilot accelerates developer productivity with code generation, test case creation, and code explanation. It provides context-aware suggestions, integrates with popular IDEs, and supports multiple languages.

GitHub CoPilot significantly boosts development efficiency by reducing coding and debugging time. Its user-friendly auto-complete and variable detection features streamline complex tasks, serving as a learning tool for developers. Areas needing improvement include its accuracy, stability, and broader integration with IDEs and languages. Users find the pricing strategy expensive and wish for enhanced contextual understanding, diverse result formats, and image support. Expanded functionality and better integration in highly regulated environments are important for future growth.

What are the most valued features of GitHub CoPilot?

Code Generation: Accelerates coding with smart suggestions.
Test Case Creation: Streamlines automated testing.
Code Explanation: Offers detailed insights into code segments.
Context-Aware Suggestions: Provides personalized assistance.
Multi-Language Support: Enhances versatility across programming languages.

Which benefits should users look for in reviews?

Increased Efficiency: Reduces time spent on coding tasks.
Enhanced Productivity: Speeds up the development process.
Learning Aid: Aids developers in understanding and creating complex code.
Task Automation: Facilitates automating repetitive coding tasks.

Utilized across industries to enhance application development and productivity, GitHub CoPilot assists in generating code snippets, writing code skeletons, analyzing documents, and automating workflows. It supports coding best practices, prompt engineering, and natural language processing. Developers leverage its capabilities for creating meeting summaries, report recommendations, and content ideas, thereby optimizing workflow efficiency.

GitHub

Google Gemini AI integrates into Google Workspace for productivity, leveraging multi-modal capabilities to optimize tasks in text, image, and data handling. It balances cost and performance, enhancing operations through seamless real-time data processing and intelligent assistance.

Google Gemini AI is designed to enhance productivity through its integration with Google services, providing smart solutions for text writing, automated workflows, and image generation. It supports efficient data handling and intelligent searches, with real-time processing ensuring fast and accurate results. While it merges seamlessly with Google's offerings, there are areas for improvement like customization, data export functionality, and the interpretability of answers. Users have called for expanded context size, improved context retention, and enhanced factual accuracy along with creativity enhancements without hallucinations. Video creation features and a streamlined setup process are also on user wishlists.

What are the key features of Google Gemini AI?

Multi-modal Capabilities: Efficiently processes text, images, and data for enhanced task handling.
Google Workspace Integration: Seamless collaboration to boost productivity.
Real-time Data Processing: Ensures fast and accurate analyses and responses.
Intelligent Assistance: Facilitates dynamic searches and task automation.
Automated Workflows: Streamlines processes, saving time for users.

What benefits should users look for in reviews?

Cost and Performance: Achieves a balance for efficient operations.
Enhancement of Productivity: Boosts efficiency with seamless integration and task assistance.
Accurate Data Handling: Ensures precise data processing and real-time analysis.
Enhanced Creativity: Supports innovative solutions without hallucinations.

In specific industries, Google Gemini AI is employed to analyze financial services, enhance marketing strategies, conduct market research, manage internal documents, and provide real-time data analysis. It aids in creating test cases, generating emails, organizing documents, and enhancing intelligent searches, supporting strategic research initiatives efficiently.

Google

Buyer's Guide

GitHub CoPilot vs. Google Gemini AI

December 2025

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