Unverified50% confidenceFactExact time
国际象棋任务的词表只有约81个token，而自然语言词表通常在32,000到100,000以上
1
Sources
50%
Confidence
Long-term
Relevance
8/13/2026
First Seen
Sources
Related Claims
UnverifiedThe vocabulary of a standard autoregressive language model typically contains 32,000 to 128,000 tokens.63% similarUnverified对于英文代码1个token大约对应4个字符，100万token的上下文窗口大约等同于75万个英文单词62% similarUnverifiedThe context window of large language models is limited, and the length of text that can be processed in a single inference is typically tens of thousands to hundreds of thousands of tokens.61% similarUnverified150,000 tokens correspond to approximately 100,000–120,000 English words of total input and output, which translates to roughly 3,000–5,000 lines of code plus a large volume of contextual dialogue and terminal interaction records.60% similarUnverifiedLarge language models are billed by the number of tokens, with 1 token equaling approximately 4 English characters or 1–2 Chinese characters.60% similar
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