GitHub CoPilot vs Google Gemini AI comparison

GitHub and Google are both solutions in the AI Code Assistants category. GitHub is ranked #1 with an average rating of 8.1, while Google is ranked #2 with an average rating of 8.0. GitHub holds a 6.6% mindshare in AICA, compared to Google’s 6.1% mindshare. Additionally, 96% of GitHub users are willing to recommend the solution, compared to 92% of Google users who would recommend it.

GitHub CoPilot

Read 28 GitHub CoPilot reviews

4,053 Views
1,175 Comparison Views

96% willing to recommend

Google Gemini AI

Read 15 Google Gemini AI reviews

3,650 Views
1,132 Comparison Views

92% willing to recommend

GitHub CoPilot

Google Gemini AI

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 4, 2025

GitHub CoPilot and Google Gemini AI are key players in the AI-driven development field. GitHub CoPilot seems to have the upper hand in streamlining coding processes and enhancing developer productivity, whereas Google Gemini AI attributes its proficiency to multi-modal capabilities and integration within Google's ecosystem.

Features: GitHub CoPilot enhances productivity with features like code generation, test case creation, and context-aware suggestions, which simplify complex coding tasks. These capabilities allow developers to write code more efficiently and with fewer errors. Google Gemini AI shines with its multi-modal functionality, supporting large data handling and real-time information processing. Integration with Google Workspace and access to diverse data sets enhance workflows significantly.

Room for Improvement: GitHub CoPilot could improve its accuracy in code suggestions and expand its language support. Enhancements in integration across IDEs and better contextual awareness would also be beneficial. Google Gemini AI could focus on improving answer accuracies, expand data export functionalities, and bolster context retention over extended documents to optimize user experience.

Ease of Deployment and Customer Service: GitHub CoPilot is usually deployed on public cloud platforms, benefiting from robust community support, while direct customer service varies. Google Gemini AI offers flexible deployment in public and hybrid cloud environments, though setup complexities can exist despite extensive documentation. Its comprehensive cloud integration leverages Google's infrastructure effectively to provide seamless service.

Pricing and ROI: GitHub CoPilot's pricing is around $10 per month and is competitive for enterprise clients, offering notable productivity improvements and cost savings. Google Gemini AI provides competitive pricing options and benefits from Google Workspace integration, though ongoing costs may rise with expanding functionalities. GitHub CoPilot's emphasis on coding efficiency could offer a distinct advantage in ROI, especially for development-centric applications.

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

Buyer's Guide

GitHub CoPilot vs. Google Gemini AI

July 2025

Download the complete report

Helped 865,140 peers since 2012

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

7.6

GitHub CoPilot boosts productivity, efficiency, and resource management, though it may be costly for some individual users.

Sentiment score

4.3

Some users notice cost reduction and time savings, others focus on client assistance or ROI analysis for value assessment.

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

4.5

GitHub CoPilot support receives mixed reviews; users value knowledgeable help but note delays, relying on community and Microsoft resources.

Sentiment score

4.3

Google Gemini AI's customer service receives mixed reviews, praised for self-service resources but criticized for accessibility, rated moderately.

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 Yext Inc

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

7.1

GitHub CoPilot scales well but faces reliability issues under high traffic, with performance varying by deployment scale and plan.

Sentiment score

6.4

Google Gemini AI excels in scalability with robust infrastructure, despite cost and context limitations; paid tiers enhance compute power.

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 Yext Inc

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

7.5

GitHub CoPilot is stable with minor connectivity issues, prompting some users to explore alternatives for certain tasks.

Sentiment score

7.0

Google Gemini AI is stable and dependable, though some users occasionally prefer alternatives like ChatGPT for consistent performance.

In most cases, it does not generate irrelevant code.

TarunRevalla

Software Engineer at Yext Inc

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 improved stability, integration, suggestion accuracy, contextual awareness, language support, and pricing to enhance functionality and usability.

Google Gemini AI users request enhanced customization, accuracy, creativity, and integration, while noting areas where rivals excel.

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

TarunRevalla

Software Engineer at Yext Inc

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 costs $10 monthly for personal use, $19 for enterprise, with possible discounts for current GitHub licensees.

Google Gemini AI is competitively priced, with reasonable initial costs but potential increases due to licensing and feature releases.

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

TarunRevalla

Software Engineer at Yext Inc

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 enhances productivity with code generation, test creation, multi-language support, and seamless IDE integration for faster development.

Google Gemini AI excels in multi-modal functionality, integration, fast processing, cost-effectiveness, and seamless workflow management, enhancing productivity.

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

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 Yext Inc

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

1st

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Rapid Application Development Software (8th)

Google Gemini AI

Ranking in AI Code Assistants

2nd

Average Rating

8.0

Reviews Sentiment

5.5

Number of Reviews

Ranking in other categories

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

Mindshare comparison

As of August 2025, in the AI Code Assistants category, the mindshare of GitHub CoPilot is 6.6%, up from 4.2% compared to the previous year. The mindshare of Google Gemini AI is 6.1%, up from 2.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Code Assistants

Featured Reviews

TarunRevalla

Software Engineer at Yext Inc

Saves time with context-aware code suggestions and seamless integration

In terms of improvements for Copilot, I haven't considered much since it offers many useful interactions. It integrates well with GitHub repositories, tracks changes on PRs, and provides valuable suggestions where applicable. There is excellent support across various code editors like JetBrains, VS Code, and NeoGen. I also run many automations within GitHub. When an NPR is raised, it automatically provides suggestions, which is part of the enterprise edition without limitations. While I don't see immediate room for improvement, one suggestion is for Copilot to provide specific suggestions for certain lines of code instead of rewriting entire sections. If the tool could focus on specific lines where changes are suggested, it would save time and reduce server load.

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

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 honestly don't have a clue about how much we usually pay for GitHub CoPilot because the increase in license costs is managed by another team, and I am not the administrator, so I generally don't ...

See all answers

What needs improvement with GitHub CoPilot?

The areas of GitHub CoPilot that need improvement include the ability to debug, which is applicable to AI-driven tools that allow you to code, and to understand our application better and learn fro...

See all answers

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

If ten is expensive and one is free, I would rate it a three or four.

See all answers

What needs improvement with Google Gemini?

I was thinking that now it is creating advanced images. In the same way, we could get video versions easily so it would be very helpful for people interested in video editing. If we give the scenar...

See all answers

What is your primary use case for Google Gemini?

I have used that recently to create test cases for my scenarios. I have prompt engineering skills, so it is easy for me to get the right response which I use in my project. I have used it for creat...

See all answers

Comparisons

GitLab vs GitHub CoPilot

Compared 31% of the time

Blackbox.ai vs GitHub CoPilot

Compared 9% of the time

Claude vs GitHub CoPilot

Compared 8% of the time

Amazon Q vs GitHub CoPilot

Compared 7% of the time

Oracle Application Express (APEX) vs GitHub CoPilot

Compared 6% of the time

More GitHub CoPilot Competitors

Cursor vs Google Gemini AI

Compared 34% of the time

Grammarly Pro - Enterprise vs Google Gemini AI

Compared 25% of the time

Jasper vs Google Gemini AI

Compared 8% of the time

QuillBot vs Google Gemini AI

Compared 5% of the time

Sudowrite vs Google Gemini AI

Compared 3% of the time

More Google Gemini AI Competitors

Product Reports

Buyer's Guide

GitHub CoPilot

August 2025

Download GitHub CoPilot product report

Buyer's Guide

Google Gemini AI

August 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

July 2025

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