Context Threshold
The percentage of context window usage at which AI output quality begins to noticeably degrade, typically around 50-70% depending on the model and task complexity.
Context thresholds are not hard walls. Quality degrades gradually as the window fills. At 30% usage, most models still perform well. At 50%, disciplined sessions hold up but messy ones start drifting. At 70%+, even well-structured sessions show signs of forgetfulness and reduced coherence. The practical move is to start a new session before you hit the degradation zone, not after.
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Related Terms
Context Window
The total amount of text, code, and conversation history an AI model can hold in active memory during a single session. Measured in tokens, not words.
Token Reuse
The compounding effect where each new AI response requires reprocessing all previous conversation tokens, increasing latency and cost with every turn.
AI Session
A single continuous conversation thread with an AI model, from the first message to the last. Each session has its own context window that resets when a new session starts.