Context Window and Token Limits

Context Window and Token Limits: What PMs Must Know

What it is

The context window is the maximum amount of text an AI model can process at once, measured in tokens—units of words or characters. Token limits cap input size, defining how much data the model can consider simultaneously.

How it works

When you send input, the model reads tokens within the context window to generate relevant output. Exceeding token limits forces trimming or truncation, losing parts of the conversation or data. The window size is fixed per model and impacts response scope.

Why it matters

Token limits influence user experience by restricting input length and conversation memory. They affect latency and cost since larger windows require more computation. Product managers must balance window size to optimize performance, pricing, and capability, ensuring scalable and feasible AI solutions.