GitHub CoPilot vs Google Gemini 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 #4 with an average rating of 8.2. GitHub holds a 6.1% mindshare in AICA, compared to Google’s 4.8% mindshare. Additionally, 96% of GitHub users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

GitHub CoPilot

Read 27 GitHub CoPilot reviews

667 Views
610 Comparison Views

96% willing to recommend

Google Gemini

Read 7 Google Gemini reviews

523 Views
479 Comparison Views

100% willing to recommend

GitHub CoPilot

Google Gemini

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between GitHub CoPilot and Google Gemini based on real PeerSpot user reviews.

Find out in this report how the two AI Code Assistants solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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

Buyer's Guide

GitHub CoPilot vs. Google Gemini

February 2025

Download the complete report

Helped 848,716 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:

Categories and Ranking

GitHub CoPilot

Ranking in AI Code Assistants

2nd

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Rapid Application Development Software (9th)

Google Gemini

Ranking in AI Code Assistants

4th

Average Rating

8.4

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

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

Mindshare comparison

As of April 2025, in the AI Code Assistants category, the mindshare of GitHub CoPilot is 6.1%. The mindshare of Google Gemini is 4.8%, up from 2.2% 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

Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

Acts as a reliable intelligent assistant for literature and query tasks

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.

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

"GitHub CoPilot accelerates productivity. It is an easy-to-use solution that is also helpful in saving the team's time."

"The most valuable skill and characteristic of GitHub CoPilot is that you can find any information in seconds."

"I can upload code snippets or class files and ask for solutions to improve them, which works well. It's a great productivity tool that saves me time searching websites. While there are alternatives like ChatGPT and other AI tools, the advantage of the tool is that it is built into the IDE."

"GitHub Copilot can improve productivity by up to 40%, especially for experienced developers. Senior developers often spend more time reviewing code, which can make the code review process a bit longer."

"Initially, OpenAI is free, but you'll need to pay for it later."

"The product's initial setup phase is easy."

"The product's initial setup is straightforward because it's pushed through the updates."

"GitHub Copilot code suggestion capabilities are always good."

More GitHub CoPilot pros

"I would rate my overall experience with Google Gemini as a nine out of ten."

"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."

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

"I'm impressed with its orchestration capabilities, which structure the workflow for research automatically and meaningfully, making it a helpful tool."

"I have seen many cases of reduced costs and working hours."

"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."

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

Cons

"The problem arises when a bot is not well-designed, which frustrates customers."

"It would be useful if we could use the solution to create documents, not only prompts."

"One drawback is that the solution sometimes suggests unwanted code, especially if I accidentally press the tab. This doesn't happen often. Sometimes it seems to understand my code, but other times it doesn't. This inconsistency is confusing."

"I don't have enough experience to share this kind of feedback."

"There's room for improvement to ensure that suggestions align more precisely with the context of what I'm seeking, minimizing instances of unrelated or inaccurate code suggestions."

"They could improve the product in terms of integration with other tools."

"The limitation is based on the training dataset and the number of repositories."

"There are no extensions provided by the product for Eclipse."

More GitHub CoPilot cons

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

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

"The binning process could be more intuitive, especially when grouping data into categories like age groups."

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

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

"Google Gemini could improve its functionalities compared to other tools like ChatGPT, especially in the customization options, Canvas mode, and web search tools, which aren't as advanced."

"Sometimes Google Gemini could hallucinate and provide incorrect information, which needs explanation for correction."

Pricing and Cost Advice

"The solution is costly."

"A personal license is priced at ten dollars per month, while a professional or enterprise license costs nineteen dollars per user, and these rates are consistent for all users."

"Each user needs their license, whether it's a big team or a small team."

"We have a license but need another one for the GitHub CoPilot tool."

"We have a demo license. Once we understand what we'll do, we'll start with a paid license."

"GitHub Copilot is a paid service, costing approximately $6 per month. There might be a free trial available."

"The pricing for GitHub Copilot is around ten dollars per month."

"The product offers a free version and a paid version. Whether to choose the product's free version or paid version depends on the size of the company where it will be used."

More GitHub CoPilot pricing and cost advice

Information not available

See which vendors are best for you

Use our free recommendation engine to learn which AI Code Assistants solutions are best for your needs.

See recommendations

848,716 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

University

12%

Computer Software Company

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?

They recently made Copilot free to use up to a certain limit, which is a positive change. The pricing aligns with other AI agents like Chargebee and Anthropic Cloud. The ability to switch between m...

See all answers

What needs improvement with GitHub CoPilot?

See all answers

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

Google Gemini's pricing is reasonable for trial purposes, but the local currency fluctuation makes it challenging for ongoing subscriptions.

See all answers

What needs improvement with Google Gemini?

Google Gemini needs more accurate answers and the ability to export data to Excel or Google Sheets. Currently, I can only export to the Doc app in Google Workspace. Exporting presentations to Power...

See all answers

What is your primary use case for Google Gemini?

I use Google Gemini for creating emails, organizing documents, extracting data from large files, summarizing data for final conclusions, and data analysis.

See all answers

Comparisons

GitLab vs GitHub CoPilot

Compared 36% of the time

Oracle Application Express (APEX) vs GitHub CoPilot

Compared 8% of the time

Claude vs GitHub CoPilot

Compared 8% of the time

Blackbox.ai vs GitHub CoPilot

Compared 8% of the time

Amazon Q vs GitHub CoPilot

Compared 6% of the time

More GitHub CoPilot Competitors

Grammarly vs Google Gemini

Compared 35% of the time

Cursor vs Google Gemini

Compared 27% of the time

Jasper vs Google Gemini

Compared 13% of the time

QuillBot vs Google Gemini

Compared 8% of the time

Writesonic vs Google Gemini

Compared 3% of the time

More Google Gemini Competitors

Product Reports

Buyer's Guide

GitHub CoPilot

April 2025

Download GitHub CoPilot product report

Buyer's Guide

GitHub CoPilot vs. Google Gemini

February 2025

Download Google Gemini 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 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

Buyer's Guide

GitHub CoPilot vs. Google Gemini

February 2025

Free Report: GitHub CoPilot vs. Google Gemini

Find out what your peers are saying about GitHub CoPilot vs. Google Gemini and other solutions. Updated: February 2025.

DOWNLOAD NOW

848,716 professionals have used our research since 2012.

See our GitHub CoPilot vs. Google Gemini report.

See our list of best AI Code Assistants vendors.

We monitor all AI Code Assistants 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.