Magic
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Magic

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.

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Overview

Magic: The 100 Million Token Context (2026 Review)

Rating: 9.7/10 (Best for Deep Context)

1. Executive Summary

Magic is not just another coding assistant; it is an "AI Colleague" with a 100 million token context window. To put that in perspective, it can hold thousands of repositories, documentation manuals, and conversation history in its working memory simultaneously.

2. Core Features

  • Complete Task Execution: Magic doesn't just write snippets. You can ask it to "Refactor this entire microservice to use gRPC instead of REST," and it can actually see all the files involved to do it safely.
  • Deep Reasoning: It uses a unique architecture designed for long-horizon planning.

3. Conclusion

Magic is the tool for "heavy lifting." When you have a task that requires understanding 50 different files at once, Magic is the only tool that can handle it without hallucinating.

Use Cases

Full codebase refactoring

Major feature additions

Legacy system upgrades

FAQ

What is the context window of Magic?
Magic boasts a 100 million token context window, equivalent to roughly 10 million lines of code or 750 novels.
What model does Magic use?
Magic uses its proprietary LTM (Long-Term Memory) models, specifically LTM-2-mini, which is optimized for ultra-long context efficiency.
How is Magic different from Cursor or Copilot?
While Cursor and Copilot focus on being excellent editors and completion tools, Magic aims to be an 'AI Colleague' that runs in the background to complete end-to-end tasks involving many files and deep reasoning.