Web Reference: Jul 23, 2025 · The context window in these models is defined by the maximum number of tokens that can be processed in parallel. For example, GPT-3 has a context window of 2048 tokens, meaning it can process up to 2048 tokens at once when making predictions or generating text. A larger context window allows the model to handle more complex and lengthy prompts, but more context isn't automatically better. As token count grows, accuracy and recall degrade, a phenomenon known as context rot. This makes curating what's in context just as important as how much space is available. Mar 25, 2026 · Every model also has a context window: a hard limit on how much text it can hold in attention at once. Understanding both changes how you write prompts, how you estimate costs, and why AI occasionally behaves in ways that otherwise seem inexplicable.
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