Did you know that, according to recent studies, developers who use artificial intelligence as GitHub Copilot Can you increase your productivity by up to 55%, completing repetitive tasks in half the time? In a world where ia Radically transforms programming, choosing the right tool makes the difference between efficiently coding or falling behind in an increasingly competitive sector. So much ChatGPT of Openai as GitHub Copilot, developed in collaboration with Microsoft, they represent the best in AI-powered code assistants, but each one shines in different scenarios. This comparison deepens in their DIFFERENCES, , Features, Real prices and use cases to help you decide which one best suits your daily needs as a technology professional.
What is ChatGPT and how does it work as a code wizard?
ChatGPT It is a conversational language model developed by OpenAI that has revolutionized interaction with the ia. Initially launched in 2022, in 2025 it uses advanced models such as GPT-4O and newer versions, capable of understanding and generating human-like text in multiple languages, including detailed explanations of code.
In the field of programming, ChatGPT Acts like a Assistant Versatile: You can paste code snippets, ask him to generate full features, explain complex concepts, or even debug step-by-step errors. its interface Chat It enables smooth conversations, where AI recalls the context of previous messages and can handle large projects by uploading files or keeping long threads. It is ideal for tasks that go beyond simple autocomplete, such as planning architectures, generating unit tests or learning new technologies through interactive examples.
One of its greatest strengths is multimodality: it analyzes images, generates diagrams or even processes data in real time. For developers, this means that ChatGPT Not only write code, but teach and reason with you.
What is GitHub CoPilot and why is it so popular among developers?
GitHub Copilot, created by GitHub (owned by Microsoft) In collaboration with OpenAI, it is a wizard specifically designed for programming. It works as a virtual ‘pair programmer’ that integrates directly into editors like Visual Studio Code, JetBrains, or NeoVim.
Unlike an external chat, Copilot Suggest code in real time as you type: complete lines, whole functions, or even complex blocks based on comments or the context of the open file. In 2025, it incorporates Copilot Chat, A conversation window within the IDE that allows you to ask about the current code, generate tests or refactor with a simple command.
Initially trained on billions of lines of GitHub public code, it now uses advanced models like GPT-4O, improving its accuracy in repetitive patterns and boilerplate. It is especially powerful in everyday tasks like writing loops, handling APIs, or generating structured code in popular languages.
Key Differences Between ChatGPT and GitHub CoPilot
Although both tools share OpenAI’s underlying technology, their approaches are radically different, generating DIFFERENCES remarkable in the workflow.
- Integration and experience of use: GitHub Copilot Live inside your editor, offering inline suggestions without changing windows. This speeds up day to day. ChatGPT, meanwhile, requires a separate tab or app, but allows deeper and structured conversations.
- Context and memory: Copilot You understand the current file and project perfectly, but your memory between sessions is limited. ChatGPT Handle contexts of up to 128k tokens and remember long conversations, ideal for complex projects.
- Focus on tasks: Copilot It stands out in fast autocomplete and repetitive code; ChatGPT It shines by explaining concepts, debugging logically or generating creative and documented code.
In short, if you are looking for speed in the encoding stream, Copilot It is unbeatable; If you need a partner who reasons and teaches, ChatGPT is higher.
Main features and how they compare
Both tools have evolved a lot in 2025. Here a comparative table of their Features most relevant:
| Aspect | GitHub Copilot | ChatGPT (plus/pro) |
|---|---|---|
| Inline autocomplete | Excellent, in real time | Non-native (requires copy-paste) |
| Conversational chat | CoPilot Chat inside the IDE | Full and multimodal interface |
| GENERATION OF TESTS | automatic and contextual | Detailed with explanations |
| Code explanations | basic | deep and educational |
| Multimodel support | Limited | Images, voice, live data |
| Integration with repos | Native on Github | via uploads or APIs |
| used models | GPT-4o and equivalents | GPT-4O, O1 and Advanced Previews |
Copilot Win in fluid integration; ChatGPT in versatility and learning.
Prices and plans available in 2025
Cost is a decisive factor. Here are the details updated to November 2025:
- ChatGPT:
- Free: Limited access to GPT-4O Mini.
- Plus: €20/month – Priority access, high limits, advanced voice.
- Pro: ~200 €/month – Unlimited use of advanced models, deep research.
- Team/Company: From €25/user/month.
- GitHub Copilot:
- Free: Limited for students and open source.
- Individual/Pro: €10/month or €100/year.
- Business: €19/user/month.
- Enterprise: 39 €/user/month with advanced controls.
For occasional use, the version free of ChatGPT enough; For intensive development, Copilot Individual offers great value for only €10.
Real use cases: which is better for what?
In practice, many developers use both in a complementary way:
- Repetitive tasks and BoilerPlate: Copilot is the best – Save hours on structured code.
- learning and debugging: ChatGPT It stands out for its detailed explanations.
- Large projects or planning: ChatGPT Handle the step-by-step reasoning better.
- Teamwork or compliance: Enterprise versions of both, but Copilot Integrate better with GitHub.
According to 2025 surveys, 70% of developers prefer Copilot to code daily, while 60% use ChatGPT to resolve conceptual doubts.
Advantages and disadvantages of each tool
GitHub Copilot:
- Advantages: Seamless integration, speed, precision in common patterns.
- Disadvantages: Less explanatory, possible public code suggestions with dubious licenses.
ChatGPT:
- Advantages: Extreme versatility, excellent for teaching and reasoning.
- Disadvantages: Requires copy-paste, you can hallucinate in complex code without full context.
None is perfect, but together they cover almost all tasks of a developer.
The future of AI assistants in programming
In 2025, we see a convergence: Copilot incorporates more conversational chat, while ChatGPT Improve your integrations with editors through plugins. Tools like CoPilot Workspace or OpenAI agents target self-contained assistants that not only suggest but plan and deploy complete code. The ia It will continue to democratize the programming, causing even Juniors to produce senior quality code.
