Verified70% confidenceFactExact time
Large models process text using Token (word element) as the minimum processing unit, with tokenizers handling the segmentation.
4
Sources
70%
Confidence
Long-term
Relevance
7/21/2026
First Seen
Sources
Related Claims
VerifiedIn large language models, a Token is the smallest unit of text that a model processes85% similarUnverifiedAI模型调用的计费单位通常是Token,即文本被分词器切割后的最小语义单元80% similarUnverifiedA tokenizer is the underlying component through which a large language model processes text, responsible for splitting the raw string into a sequence of tokens the model can recognize and mapping them to integer IDs.77% similarUnverifiedIn large model invocations, text and code in both input and output are converted into token counts.76% similarVerifiedA token is the basic unit of billing for large models and is essentially the smallest semantic segment after text is split.76% similar
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