Copilot vs Perplexity: Which Is Better? [Comparison]

Copilot is an AI-powered code completion tool developed by GitHub. Its primary purpose is to assist developers by providing code suggestions and autocompletions within integrated development environments (IDEs).

Quick Comparison

Feature Copilot Perplexity
Primary Function Code completion and suggestions Information retrieval and Q&A
Target Users Developers General users and researchers
Integration Integrated with IDEs Web-based platform
Language Support Multiple programming languages Natural language processing
Learning Method Trained on code repositories Trained on diverse text data
Customization Limited customization options User-driven query refinement
Pricing Subscription-based Free with optional features

What is Copilot?

Copilot is an AI-powered code completion tool developed by GitHub. Its primary purpose is to assist developers by providing code suggestions and autocompletions within integrated development environments (IDEs).

What is Perplexity?

Perplexity is an AI-driven question-answering platform that retrieves information from various sources. Its primary purpose is to provide users with concise answers to queries based on a wide range of text data.

Key Differences

Which Should You Choose?

Frequently Asked Questions

What programming languages does Copilot support?

Copilot supports multiple programming languages, including Python, JavaScript, TypeScript, Ruby, and more.

Is Perplexity free to use?

Perplexity offers a free version with optional features that may require payment for advanced functionalities.

Can Copilot be used without an IDE?

Copilot is primarily designed for use within IDEs, so its functionality may be limited outside of these environments.

How does Perplexity retrieve information?

Perplexity retrieves information by analyzing a wide range of text data and providing answers based on that analysis.

Conclusion

Copilot and Perplexity serve different purposes, with Copilot focusing on coding assistance and Perplexity on information retrieval. Your choice between the two will depend on your specific needs and use cases.

Last updated: 2026-01-29