Verified65% confidenceFactExact time
The context window mechanism causes models in multi-turn conversations to feed the entire conversation history into the context, causing token consumption to grow rapidly as the conversation lengthens.
3
Sources
65%
Confidence
Long-term
Relevance
7/19/2026
First Seen
Sources
Related Claims
VerifiedLong conversations package and resend the entire context history to the model, which is counted toward the token usage of each request; the longer the conversation, the more tokens a single request consumes.83% similarUnverifiedChat Memory simulates memory by injecting historical messages into the Prompt with each request, causing token consumption to grow linearly with the number of conversation turns.79% similarUnverifiedThe new generation of LLM-based dialogue systems uses a context window mechanism, enabling semantic coherence across multiple consecutive conversational turns and adaptive adjustments.79% similarVerifiedThe context window determines how much content the model can remember within a single conversation.79% similarUnverifiedIn long sessions, the billing basis for each interaction round is the sum of the system prompt, the full conversation history, and the current input.78% similar
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