Unverified50% confidenceFactExact time
Token Memory uses token count rather than message count as the budget cap, and trimming may cut a sentence off in the middle, leaving the semantics incomplete.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
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Related Claims
UnverifiedThe same passage of text may be split into different numbers of tokens under different tokenizers, while API billing and context window limits are both measured in token counts.75% similarUnverifiedThinking tokens are billed as output tokens just like the final answer, and are usually invisible to users or shown only in collapsed form.74% similarVerifiedA token is the basic unit of billing for large models and is essentially the smallest semantic segment after text is split.74% similarUnverifiedSubword schemes can cover almost any text while keeping the vocabulary size controllable, at the cost that the same word may be cut into different Token sequences, with slightly lower interpretability.73% similarUnverifiedLanguage models process tokens rather than numbers, so they can accurately copy out amounts yet are prone to errors in operations such as summation, averaging and percentages, and the result for the same question may differ from one run to the next.70% similar
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