Unverified50% confidenceConceptExact time
For chat-type products, quota consumption is basically proportional to the number of conversations users actively initiate; proactive agents also call the model for periodic checks, judgments, and briefing generation in the background, so quota consumption is no longer entirely determined by user behavior.
1
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50%
Confidence
Long-term
Relevance
10/21/2026
First Seen
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Related Claims
UnverifiedWhen using advanced features such as collaboration, Agent, or long-document analysis, users should treat them as high-consumption operations rather than equivalent to ordinary chat.73% similarUnverifiedToken consumption rates during multi-agent parallel execution are far higher than in single-conversation scenarios72% similarUnverifiedCompleting intent parsing, ad matching and relevance scoring for every conversation turn in real time at ChatGPT's user scale incurs enormous superimposed inference overhead, and engineering teams must find a balance among latency, cost and accuracy.71% similarUnverifiedThe agent proactively determines the most appropriate presentation format based on the actual progress of the conversation, rather than waiting for the user to manually switch modes71% similarUnverifiedPassing the full conversation history gives the new Agent a more complete understanding, but it costs more tokens and may introduce irrelevant noise; filtered input is more focused and costs less, but requires judging which information is truly necessary.70% similar
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