Unverified60% confidenceFactExact time
A token is the smallest unit of measurement for text processed by a model; OpenAI uses the BPE algorithm to encode high-frequency character combinations as single tokens, with approximately 75 English words equaling roughly 100 tokens.
2
Sources
60%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
Related Claims
VerifiedTokens are generated by the BPE (Byte Pair Encoding) algorithm; in English text, each token corresponds on average to approximately 4 characters (about 0.75 words).84% similarUnverifiedIn English, approximately every 4 characters form 1 Token, and OpenAI uses the BPE (Byte Pair Encoding) algorithm to map high-frequency words to single Tokens.83% similarVerifiedToken是大语言模型处理文本的基本计量单位，由BPE（字节对编码）等分词算法生成81% similarVerifiedA token is the smallest semantic unit segmented by subword tokenization algorithms such as BPE, and is not simply equivalent to a single character or word.79% 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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