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 7.1% mindshare in AICA, compared to Google’s 5.2% 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 8 Google Gemini reviews

523 Views
479 Comparison Views

100% willing to recommend

GitHub CoPilot

Google Gemini

Comparison Buyer's Guide

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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: April 2025).

Buyer's Guide

GitHub CoPilot vs. Google Gemini

April 2025

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Helped 849,963 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

8.2

Reviews Sentiment

7.8

Number of Reviews

Ranking in other categories

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

Mindshare comparison

As of May 2025, in the AI Code Assistants category, the mindshare of GitHub CoPilot is 7.1%. The mindshare of Google Gemini is 5.2%, up from 1.0% 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.

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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.

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Quotes from Members

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

Pros

"The solution's most valuable features are context awareness, multi language support, integration with popular IDs like Visual Studio Code or JetBrains, and reduced coding time."

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

"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."

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

"The product's most valuable feature is vulnerability management features."

"Copilot enhanced our productivity through its AI capabilities."

"When I write code, I feel like I have someone sitting with me to help me. Wherever I'm stuck, I just ask a question, and it provides guidance that I can use."

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

More GitHub CoPilot pros

"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."

"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."

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

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

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

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

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

Cons

"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."

"They could enhance the product's accuracy of suggestions, especially when dealing with non-standard or legacy code."

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

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

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

"The tool needs to focus on integration, as it is the most important aspect. I would like to see some pre-designed modules included in my projects."

"The tool must improve its ability to work with multiple files."

"They could simplify the API integrations and allow us to automate certain tasks using our own server without just logging into the web page."

More GitHub CoPilot cons

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

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

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

"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."

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

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

"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."

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

Pricing and Cost Advice

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

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

"GitHub CoPilot is less expensive than other solutions."

"GitHub CoPilot's pricing is reasonable. Our licensing costs were initially monthly, but then we switched to yearly payments. I rate the tool's pricing an eight out of ten."

"The product has a tiered pricing model that starts with a free version for individual developers but requires a separate license fee for enterprise use."

"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."

"The pricing is reasonable. I think it is 10 USD per user."

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

More GitHub CoPilot pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

10%

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

Blackbox.ai vs GitHub CoPilot

Compared 9% of the time

Claude vs GitHub CoPilot

Compared 8% of the time

Oracle Application Express (APEX) vs GitHub CoPilot

Compared 7% of the time

Amazon Q vs GitHub CoPilot

Compared 6% of the time

More GitHub CoPilot Competitors

Grammarly vs Google Gemini

Compared 33% of the time

Cursor vs Google Gemini

Compared 29% of the time

Jasper vs Google Gemini

Compared 11% of the time

QuillBot vs Google Gemini

Compared 8% of the time

You.com 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

Google Gemini vs. Honeycomb.io

April 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

April 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: April 2025.

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