Head-to-Head Comparison

Continue vs GitHub Copilot

Which Code Assistant is right for you? See our complete breakdown.

Continue

5/10 Visit Continue
VS

GitHub Copilot

8/10 Our Pick Visit GitHub Copilot
FeatureContinueGitHub Copilot
MegaOne Score5/108/10
CategoryCode AssistantCode Assistant
Pricing ModelOpen SourceFreemium
Starting PriceFree / Open Source$10.00/mo
Free TierYesYes
API AvailableNoNo
Open SourceNoNo
iOS AppNoNo
Android AppNoNo
Chrome ExtensionNoNo
CompanyContinue Dev, Inc. (acquired by Cursor)GitHub
Total Funding$5M$350M

Visual Comparison

Score Reach Value Team Funding Reviews
Continue GitHub Copilot

About Continue

An open-source AI coding assistant that integrates with IDEs, allowing developers to use various LLMs for code completion, chat, and agentic workflows.

Continue.dev was an open-source AI coding assistant available as an extension for VS Code and JetBrains IDEs, and a CLI. It enabled developers to connect to various large language models (LLMs) for features like inline code completions, a sidebar chat interface for code explanation and generation, and multi-step agentic workflows. The tool prioritized extensibility, privacy, and model agnosticism, allowing users to define custom rules and integrate with their existing development environments.

About GitHub Copilot

GitHub Copilot is an AI-powered coding assistant that provides real-time code suggestions, completions, and agentic capabilities across various IDEs and platforms.

GitHub Copilot is an advanced AI-powered coding assistant that offers real-time code suggestions, completions, and intelligent development support across multiple programming languages and IDEs. It leverages large language models to generate code, answer questions, explain concepts, and automate tasks through an agent mode, integrating seamlessly into developer workflows.

GitHub Copilot takes the edge

With a MegaOne score of 8/10 versus 5/10, GitHub Copilot edges ahead of Continue in our analysis. However, Continue may still be the better choice depending on your specific use case and budget.