Claude vs GitHub CoPilot comparison

Anthropic and GitHub are both solutions in the AI Code Assistants category. Anthropic is ranked #5, while GitHub is ranked #1 with an average rating of 8.2. Anthropic holds a 8.5% mindshare in AICA, compared to GitHub’s 7.0% mindshare. Additionally, 96% of GitHub users are willing to recommend the solution.

Claude

Read 1 Claude review

1,252 Views
616 Comparison Views

0% willing to recommend

GitHub CoPilot

Read 28 GitHub CoPilot reviews

980 Views
431 Comparison Views

96% willing to recommend

Claude

GitHub CoPilot

Comparison Buyer's Guide

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Executive Summary

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

Find out what your peers are saying about GitHub, Google, Cursor and others in AI Code Assistants.

To learn more, read our detailed AI Code Assistants Report (Updated: June 2025).

Buyer's Guide

AI Code Assistants

June 2025

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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:

Categories and Ranking

Claude

Ranking in AI Code Assistants

5th

Average Rating

0.0

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

AI-Powered Chatbots (22nd), AI Writing Tools (10th), Large Language Models (LLMs) (5th), AI Proofreading Tools (8th)

GitHub CoPilot

Ranking in AI Code Assistants

1st

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Rapid Application Development Software (10th)

Mindshare comparison

As of June 2025, in the AI Code Assistants category, the mindshare of Claude is 8.5%. The mindshare of GitHub CoPilot is 7.0%. It is calculated based on PeerSpot user engagement data.

AI Code Assistants

Featured Reviews

reviewer2203806

Country Manager at a tech services company with 1-10 employees

AI generates human-like responses and automates tasks efficiently

The product could be improved by offering automatic integration with other solutions, such as the ability to read Excel or text files and automate processes this way. Currently, additional solutions are needed to integrate these types of tools. If I want to read a spreadsheet from Google and pose a human-like question, I need to integrate two or three AI solutions. Security is also a concern. AI solutions currently lack security in their processing. If I need to access my confidential information and the AI solution accesses and displays it in responses for everyone, it is not the ideal scenario. Developing solutions to ensure security is crucial, although it is not their main objective at the moment.

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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

Quotes from Members

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

Pros

"Overall, I rate Claude nine out of ten."

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

"The initial setup of the product is easy."

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

"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 platform's most valuable feature is detecting and suggesting variables based on the existing file context."

"The solution increases coding efficiency."

"In terms of understanding user queries and providing code that aligns with my expectations, there is room for improvement."

"I use it almost like a search engine, but it goes a step beyond."

More GitHub CoPilot pros

Cons

"The product could be improved by offering automatic integration with other solutions, such as the ability to read Excel or text files and automate processes this way."

"In certain instances, OpenAI didn't respond in the expected way. The responses were more general and didn't address the specific point."

"The solution's accuracy and relevance could be improved."

"If the tool could focus on specific lines where changes are suggested, it would save time and reduce server load."

"GitHub CoPilot's alerting features need improvement."

"The suggestions provided by the product must be improved."

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

"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."

"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."

More GitHub CoPilot cons

Pricing and Cost Advice

Information not available

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

"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."

"It's affordable."

"GitHub CoPilot is less expensive than other solutions."

"The solution is costly."

"GitHub CoPilot comes readily available for enterprise customers, so it's a free add-on if you already have GitHub's enterprise license."

"There is a need to pay around 10 USD to be able to use the solution."

"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."

More GitHub CoPilot pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

15%

Comms Service Provider

University

Manufacturing Company

Financial Services Firm

16%

Computer Software Company

10%

Healthcare Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Claude?

The pricing is standard for the markets. It is not a monthly price, but a bucket with dollars for usage. If I make too many queries, I consume more of my budget on the platform.

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What needs improvement with Claude?

See all answers

What is your primary use case for Claude?

I primarily work on creating labs and testing cases. I generate agents for specific topics. If I want to develop an application, I use a specific prompt and utilize it as an agent to address a spec...

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What do you like most about GitHub CoPilot?

The product is easy to integrate.

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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...

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What needs improvement with GitHub CoPilot?

See all answers

Comparisons

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Compared 6% of the time

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Compared 5% of the time

Qodo Gen vs Claude

Compared 5% of the time

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Compared 34% of the time

Blackbox.ai vs GitHub CoPilot

Compared 9% 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

Qodo Gen vs GitHub CoPilot

Compared 6% of the time

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Product Reports

Buyer's Guide

AI-Powered Chatbots

June 2025

Download Claude product report

Buyer's Guide

GitHub CoPilot

June 2025

Download GitHub CoPilot product report

Overview

Claude is acclaimed for its advanced language understanding and efficient text generation, significantly enhancing organizational productivity and content creation across different industries. With capabilities extending to data analysis, customer support automation, and real-time language translation, Claude supports a variety of tasks, streamlining workflows and offering human-like text outputs that improve user interaction and decision-making.

Anthropic

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.

Find out what your peers are saying about GitHub, Google, Cursor and others in AI Code Assistants. Updated: June 2025.

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