Unverified70% confidenceFactTime unknown
中文字符在不同tokenizer下的Token数量差异可达30%-50%
1
Sources
70%
Confidence
Long-term
Relevance
6/2/2026
First Seen
Sources
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Related Claims
UnverifiedThe number of tokens consumed by the same Chinese text may differ by 30%–50% across different large model service providers.75% similarUnverified不同分词算法（BPE、WordPiece等）导致同一段中文文本在不同模型中消耗的Token数量可能相差20%-40%68% similarUnverifiedThe proportion of Chinese data in the pre-training corpora of domestic large models typically reaches 30%–50%, whereas Chinese corpus in overseas models often accounts for less than 10%.62% similarUnverifiedThe Opus 4.7 tokenizer uses different merging strategies for code comments, mixed Chinese text, and special Unicode symbols, which may cause the token count for the same text to become approximately 1.0 to 1.7 times that of before.61% similarUnverified64K token 约等于5万个汉字60% similar
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