In recent years, the tech industry has seen an explosion of AI-powered tools designed to streamline various tasks and improve productivity. Two such tools that have garnered significant attention are GitHub Copilot and ChatGPT.
GitHub Copilot is mostly used for coding assistance, on the other hand, ChatGPT is quite a versatile tool that can carry out several different tasks. Comparing the two is like comparing a race car to an SUV. While the race car excels at one specific task (going fast), the SUV is a more versatile vehicle that can handle various terrains and conditions.
If you are stuck in a coding rut and need help getting out of it, then which tool will you choose—GitHub Copilot or ChatGPT? If you are not sure which generative AI tool to use, then we have got you covered. In this article, we will look into the key differences between Copilot and ChatGPT, and which one you should use.Â
Before we delve into the differences, we have to look into the two AI tools and what they offer, Only then will we be able to understand which one is better.Â
Difference Between Gemini vs Bard vs ChatGPT vs Copilot vs Grok vs Ernie
What is the GitHub Copilot? What features does it offer?
GitHub Copilot is an AI-powered tool designed by teams from GitHub and OpenAI to assist developers with coding tasks. It uses machine learning to analyze code and provide suggestions for code completion, refactoring, and documentation. Some of its key features include:
- Code Completion: GitHub Copilot can predict and suggest code completions as you type, saving time and reducing errors.
- Refactoring: It can identify opportunities for code refactoring and provide suggestions for improvement.
- Documentation: Copilot can generate documentation for code, making it easier to understand and maintain.
- Multiple Language Support: It supports multiple programming languages, including Python, JavaScript, Java, C#, and more.
- API Integration: Based on your API documentation, Copilot can create the basic code structure, including authentication, request processing, and response parsing for seamless API integration.
- Customizable Settings: You can customize the settings to suit your preferences and needs.
For an experiment, GitHub recruited 95 professional developers and divided them into two groups of 45 and 50. The 45-member team was given access to Copilot and the 50-member team was not. Compared to the developers who did not use GitHub Copilot, the developers who used GitHub Copilot finished their work 55% faster. It took an average of 1 hour and 11 minutes for the team using Copilot, compared to 2 hours and 41 minutes for the developers who did not use the AI tool.Â

What is ChatGPT?What features does it offer?
ChatGPT is a large language model (LLM) developed by OpenAI that uses deep learning to generate human-like text. It is trained on a massive corpus of data from the internet and can be used for a wide range of tasks, ranging from drafting haikus to writing advanced codes. Some of its key features include:
- Text Generation: ChatGPT can generate coherent and contextually relevant text on a given prompt.
- Open-ended answers: ChatGPT can answer questions by extracting information from its training data and giving relevant responses.
- Sentiment Analysis: It can analyze the sentiment of a given text and determine whether it is positive, negative, or neutral.
- Code Generation: This powerful generative AI model can write code from scratch. Even a complete novice can create complex programs with its help.
GitHub Copilot vs ChatGPT: Comparing the two AI Tools
Feature | GitHub Copilot | ChatGPT |
Training Data | Trained on public GitHub repositories | Trained on a diverse range of internet text, including coding examples |
Programming Languages | Supports multiple programming languages | free version is available $20/monthly for Plus Version; $25/monthly for the Teams Version |
Input Format | Code comments or partial code snippets | Text prompts with coding-related queries |
Output Formt | Generates code suggestions or completions | Generates coherent and contextually relevant code |
User Interaction | Reactive to developers’ coding patterns | Responsive to natural language coding queries |
Code Quality | Generates idiomatic and syntactically correct code | May produce code that requires additional refinement |
Intended User | Specifically designed for developers in coding environments | General-purpose language model with coding capabilities |
Integration with IDEs | Integrated with code editors (e.g., VS Code) | Is not integrated with code editors and platforms |
Access | Available through IDE plugin | Accessible via OpenAI API for broader coding applications |
Pricing | Output Format | free version is available for $20/monthly for the Plus Version; and $25/monthly for the Teams Version |
GitHub Copilot vs. ChaGPT: Which is Better?
GitHub Copilot and ChatGPT are both powerful generative AI tools that can help streamline your productivity. Ultimately, only you can decide which tool is better and suits your preferences.
If you are a professional developer or programmer and want a no-nonsense tool for your tasks, then GitHub Copilot is the perfect choice for you. It can quickly generate code snippets and suggestions based on your input, streamlining your coding process and increasing productivity.
However, if you are looking for a more general-purpose language model with coding capabilities that can be integrated with various IDEs and platforms, then ChaGPT might be a better option for you.
Google Gemini vs OpenAI’s ChatGPT: A Battle of AI Titans Compared