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GitHub CoPilot vs Google Gemini comparison

GitHub and Google are both solutions in the AI Code Assistants category. GitHub is ranked #1 with an average rating of 8.2, while Google is ranked #2 with an average rating of 7.9. GitHub holds a 7.0% mindshare in AICA, compared to Google’s 5.7% mindshare. Additionally, 96% of GitHub users are willing to recommend the solution, compared to 90% of Google users who would recommend it.
GitHub CoPilot
Read 28 GitHub CoPilot reviews
  • 980 Views
  • 431 Comparison Views
96% willing to recommend
Google Gemini
Read 11 Google Gemini reviews
  • 799 Views
  • 649 Comparison Views
90% willing to recommend
 

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.

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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
Download the complete report
Helped 856,873 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
7.4
GitHub CoPilot boosts productivity, efficiency, and resource management, though it may be costly for some individual users.
Sentiment score
6.2
Google Gemini enhances productivity and cuts costs, with mixed reports on return metrics; users rate its competitive pricing highly.
Efficiencies with GitHub CoPilot have improved by 30%, which means a quicker go-to market and a simplified way of documenting technical designs.
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.
For more quotes and insights, download the Google Gemini report
 

Customer Service

Sentiment score
6.5
GitHub CoPilot support receives mixed reviews; users value knowledgeable help but note delays, relying on community and Microsoft resources.
Sentiment score
6.1
Opinions on Google Gemini's customer service vary, with some praising its resources and others finding contact difficult.
With a large user base, it covers a wide range of questions, from simple to complex, ensuring that answers are available.
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.
Microsoft has done better, though they're not great at it, but they seem to be more responsive.
it's really difficult to reach them
For more quotes and insights, download the Google Gemini report
TarunRevalla - PeerSpot reviewer
BV
MV
PS
 

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
7.7
Google Gemini is scalable and efficient but faces challenges with context windows and foreign currency costs affecting its ratings.
It cannot be fully depended on to build every component and run a large enterprise application without significant human intervention.
With an enterprise plan, there are no limitations, so scalability is not an issue.
For more quotes and insights, download the GitHub CoPilot report
Google Gemini handles multiple PDF files and big files efficiently.
It can conduct research quickly, taking only five to seven minutes to produce a ten-page research document with a reasonable executive summary.
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.
For more quotes and insights, download the Google Gemini report
BK
TarunRevalla - PeerSpot reviewer
MI
BV
Luís Silva - PeerSpot reviewer
 

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
8.4
Users praise Google Gemini's stability but note occasional AI hallucinations, with some finding ChatGPT more consistent.
In most cases, it does not generate irrelevant code.
At certain times, you may not get the required response and realize it's either down or not responding for other reasons.
For more quotes and insights, download the GitHub CoPilot report
Everything I've tried so far works without instability, bugs, or hallucinations.
Recently, Google Gemini has been very stable, without performance issues.
For more quotes and insights, download the Google Gemini report
TarunRevalla - PeerSpot reviewer
BK
Laurence Moseley - PeerSpot reviewer
MI
 

Room For Improvement

GitHub CoPilot needs improved stability, integration, suggestion accuracy, contextual awareness, language support, and pricing to enhance functionality and usability.
Google Gemini needs improved customization, context length, export options, accuracy, response time, and reduced hallucinations for better performance.
There is excellent support across various code editors like JetBrains, VS Code, and NeoGen.
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.
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.
When working on a 20-page document, Google Gemini sometimes loses context about earlier parts.
Currently, it operates mostly autonomously, and while it provides structured activities, making the research configuration more accessible and flexible would be beneficial.
For more quotes and insights, download the Google Gemini report
TarunRevalla - PeerSpot reviewer
BK
MI
PS
BV
 

Setup Cost

GitHub CoPilot costs $10 monthly for personal use, $19 for enterprise, with possible discounts for current GitHub licensees.
Google Gemini's pricing is competitive, with low initial costs, but setup and ongoing expenses can be high due to fluctuating factors.
They recently made Copilot free to use up to a certain limit, which is a positive change.
For more quotes and insights, download the GitHub CoPilot report
Google Gemini is free.
The per license cost is on par with others, but with the number of licenses, it becomes expensive.
The feature of Gemini 2.5 research is highly discounted.
For more quotes and insights, download the Google Gemini report
TarunRevalla - PeerSpot reviewerLaurence Moseley - PeerSpot reviewer
PS
BV
 

Valuable Features

GitHub CoPilot enhances productivity with code generation, test creation, multi-language support, and seamless IDE integration for faster development.
Google Gemini excels with multi-modal functionality, real-time interactions, and cost-effective productivity through advanced data and language processing.
It is certainly time-saving; we have seen upwards of around 30% plus of time savings using GitHub CoPilot.
Copilot is integrated into my environment, providing the context and the bigger picture of how the code is used throughout the project.
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.
The AI capabilities of Google Gemini are a multi-modal LLM which allows me to pass documents, images, and texts in the same prompt.
It provides an experimental search module capable of scanning hundreds of websites to deliver summarized data.
For more quotes and insights, download the Google Gemini report
BK
TarunRevalla - PeerSpot reviewerLaurence Moseley - PeerSpot reviewerLuís Silva - PeerSpot reviewer
MI
 

Categories and Ranking

GitHub CoPilot
Ranking in AI Code Assistants
1st
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
28
Ranking in other categories
Rapid Application Development Software (10th)
Google Gemini
Ranking in AI Code Assistants
2nd
Average Rating
8.0
Reviews Sentiment
7.1
Number of Reviews
11
Ranking in other categories
AI Writing Tools (1st), Large Language Models (LLMs) (1st), AI Proofreading Tools (1st)
 

Mindshare comparison

As of June 2025, in the AI Code Assistants category, the mindshare of GitHub CoPilot is 7.0%. The mindshare of Google Gemini is 5.7%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Code Assistants
 

Featured Reviews

TarunRevalla - PeerSpot reviewer
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 - PeerSpot reviewer
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
10%
Healthcare Company
9%
Manufacturing Company
8%
University
12%
Computer Software Company
11%
Comms Service Provider
8%
Government
7%
 

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?
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 s...
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?
There's a new release every two months and it's very fast. I would say that they should keep increasing the context size of information that we can provide. Going from 1 million to 10 million would...
See all answers
What is your primary use case for Google Gemini?
I am aware of Google Gemini translation tools, but I haven't used them. They don't impact my work as all my work is done in English, so I don't need any kind of translation. I've been using the API...
See all answers
 

Comparisons

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Compared 8% of the time
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Compared 7% of the time
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Compared 6% of the time
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Compared 32% of the time
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Compared 30% of the time
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Compared 10% of the time
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Compared 7% of the time
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Compared 3% of the time
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Product Reports

Buyer's Guide
GitHub CoPilot
June 2025
GitHub CoPilot reportDownload GitHub CoPilot product report
Buyer's Guide
AI Code Assistants
June 2025
Google Gemini reportDownload 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
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See our GitHub CoPilot vs. Google Gemini report.
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