Analyze Massive Datasets Using Claude's 1M Token Context Window
Upload entire codebases or long documents for unified AI reasoning.
Leverage the 1M token context window in Claude Fable 5 to analyze massive datasets or repositories in a single prompt without chunking.
The Scenario
You are an engineer inheriting a massive legacy codebase or a researcher analyzing a 500-page regulatory document. You need to identify specific logic flows or non-obvious patterns across the entire dataset.
Before & after
Previously, you would have to break long documents or codebases into 5–10 smaller chunks to fit context limits, manually tracking dependencies. This process usually took 45–60 minutes of tedious copying and pasting.
With Claude Fable 5, you simply input the massive file or codebase into the context window and enable 'adaptive thinking.' This provides high-level reasoning and accurate code generation in 2–5 minutes.
The Prompt
I am providing a large dataset/codebase. Please use your 1M token context window and adaptive thinking to analyze [PASTE_FILES_OR_TEXT]. Based on this, [DESCRIBE_GOAL_OR_ANALYSIS].
The new Claude Fable 5 and Mythos 5 models support a massive 1M token context window by default. This allows you to upload entire technical documentations, books, or large repositories without losing the 'big picture' of the project.
Source
Claude Platform - Claude API Docs"Both models support a 1M token context window by default, 128k max output tokens, and always-on adaptive thinking."