

A comprehensive comparison of two popular AI IDEs tools. We analyze pricing, features, strengths, and ideal use cases to help you choose the right one.
No rankings, no bias. This is a factual comparison — we don't rank or promote either tool. The right choice depends entirely on your specific needs.
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Kilo Code is a Open Source AI IDEs tool — open-source coding agent and ide.. It stands out for open source and deep z.ai integration. Well suited for cost-optimized coding.
Magic is a Waitlist AI IDEs tool — ai with 100m token context window.. It excels at massive 100m context and complete task execution. Well suited for full codebase refactoring.
On pricing, Kilo Code (Open Source) and Magic (Waitlist) take different approaches, which may be a deciding factor for budget-conscious teams.

Open-source coding agent and IDE.
Kilo Code is a popular open-source coding agent and IDE that integrates natively with Z.AI's GLM models for a powerful, cost-effective development experience.

AI with 100M token context window.
Magic is building an AI software engineer with a 100 million token context window, aiming to complete entire tasks rather than just snippets.
See how Kilo Code and Magic compare across key dimensions.


Understanding each tool's core strengths helps you match it to your workflow. Below is a detailed breakdown of each tool's strengths.
Kilo Code's key advantages make it particularly well-suited for developers who value open source.
Magic's standout features make it a strong choice for developers who prioritize massive 100m context.
Different tools shine in different scenarios. Here's where each tool delivers the most value, helping you pick the one that aligns with your day-to-day development tasks.
Kilo Code uses a Open Source model while Magic offers a Waitlist model. This difference can be significant depending on your budget and team size. Both tools require investment but deliver strong ROI for active developers.
Choose Kilo Code if you need cost-optimized coding and value open source.
Choose Magic if you need full codebase refactoring and value massive 100m context.
Both are strong AI IDEs tools with distinct advantages. Consider trying both (if free tiers are available) to see which fits your workflow better.