How Claude Handles 100K+ Tokens: A Deep Dive into Context Windows

The Moment Context Became a Superpower There was a time when working with large language models meant constantly fighting the context limit. You’d trim inputs, summarize aggressively, or split tasks into awkward chunks just to stay within a few thousand tokens. That constraint quietly shaped how we built products. Then models like Claude introduced context windows that stretched into the 100K+ token range, and something fundamental changed. Context stopped being a limitation and became a capability. Instead of asking “How do I fit this in?”, the question became “What can I now include?” Understanding how this actually works under the hood—and what tradeoffs come with it—is key if you want to use these models effectively. What a 100K+ Token Context Window Really Means At a high level, a token is just a chunk of text—roughly a word or part of a word. A 100K token context window means the model can “see” and reason over a massive amount of text in a single pass. Think entire codebases, lo