Unverified50% confidenceFactExact time
OpenAI使用cl100k_base编码器，Claude使用自研分词系统，两者对同一中文文本的Token计数可能相差10-20%
1
Sources
50%
Confidence
Long-term
Relevance
8/17/2026
First Seen
Sources
爆苗AI管家实测：一站式管理海外AI工具的效率平台
Related Claims
UnverifiedWhen OpenAI's tiktoken tokenizer processes Chinese, a common Chinese character typically corresponds to 1.5 to 2 tokens, causing Chinese users to pay approximately 1.5 to 2 times the token cost of English for the same semantic content.67% 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%67% similarUnverifiedThe same 1,000-character Chinese text produces approximately 800 tokens under GPT-4o's tiktoken (cl100k_base), approximately 750 under the Claude tokenizer, and approximately 900 under Llama's sentencepiece tokenizer.66% similarVerifiedA context window of 200K tokens means the model can comprehend approximately 150,000 Chinese characters or 100,000 English words in a single conversation.65% similarUnverified128K tokens corresponds to approximately 100,000 Chinese characters.65% similar
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