ChatGPT Context Window: What It Is and What Actually Fits
The models behind ChatGPT hold 1,050,000 tokens with 128K output. What occupies the window, why more context degrades answers, and how to work within it.
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The models behind ChatGPT hold 1,050,000 tokens with 128K output. What occupies the window, why more context degrades answers, and how to work within it.
Most current Claude models have a 1M token context window with 128K output. What counts toward it, why cached tokens still take space, and how to manage it.
A comparison of prompt engineering and context engineering using first-party definitions: what each method covers, a differences table, when to start with each, a failure-driven decision framework, common risks, and how to evaluate either approach.