Context Window — The maximum amount of text (measured in tokens) that an AI model can process at one time, including both input and output.
The context window is the total amount of information—including the system prompt, conversation history, code files, and outputs—that an LLM can hold in its "memory" during a single session. Larger context windows allow AI coding tools to understand more of your codebase at once. For example, Claude has a 200K token context window, enabling it to process entire large codebases in a single session. Context window size is a key factor when choosing an AI coding tool.
A context window is the maximum amount of text an AI model can process at once, including your prompt, the model's response, and any prior conversation history.
Context windows vary significantly: GPT-4 has 128K tokens, Claude has up to 200K tokens, and some specialized models offer even larger windows. Larger context windows let the AI understand more of your codebase simultaneously.
A larger context window means the AI can read more of your code at once—more files, more functions, more context. This leads to more accurate suggestions and better understanding of complex codebases.
Large Language Model (LLM)
A type of AI model trained on massive amounts of text data, capable of understanding and generating human-like text across a wide range of tasks.
Token
The basic unit of text that AI models process. A token is roughly 4 characters or 0.75 words in English.
System Prompt
A set of instructions given to an AI model before the user conversation begins, shaping its behavior, tone, and capabilities.
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