A context window refers to the maximum amount of information – measured in tokens – that an AI model can consider at one time when generating a response. A larger context window allows the model to process more historical conversation, document content, or background data, resulting in more coherent and contextually relevant outputs. For enterprise AI, selecting models with an appropriate context window is essential for tasks like document analysis or multi-turn dialogue.
