AI Glossary

AI Termcirca 2018· Added May 26, 2026

Context Window

The context window is the range of text an AI model can consider when generating responses.

In large language models like GPT-3 or Claude, the context window refers to the maximum amount of text input that the model can process at one time. This constraint impacts how much prior conversation or text data the model can use to inform its responses. A larger context window allows for more comprehensive understanding and continuity in conversation, but also requires more computational resources. For example, GPT-4 has a context window of up to 8k tokens, which is significantly larger than its predecessor GPT-3's limit. As technology advances, expanding this window remains a crucial area of research to improve model performance.

Examples

  • GPT-4 has a larger context window than GPT-3, enabling it to handle more complex tasks.
  • When generating long documents, understanding the context window helps maintain coherence across sections.
  • Reducing inputs to fit within the context window can streamline processing and improve response quality.

Common misconceptions

  • A larger context window does not always mean better answers; it depends on task requirements.
  • The entire history of a conversation isn't stored beyond the context window limit.
  • Expanding a context window doesn't eliminate all limitations related to memory and processing.

Also known as: context length

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