Verified65% confidenceFactTime unknown

The number of tokens consumed by the same Chinese text may differ by 30%–50% across different large model service providers.

3

Sources

65%

Confidence

Long-term

Relevance

6/1/2026

First Seen

Sources

One API: The Complete Guide to an Open-Source API Gateway for Managing 30+ LLMs

githubsongquanpeng

Related Entities

OpenAIcompany tiktokenproduct

Related Claims

Unverified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%79% similar Verified处理中文内容的Token消耗往往高于等量英文内容78% similar Unverified中文字符在不同tokenizer下的Token数量差异可达30%-50%75% similar Unverified128K tokens约对应10万字中文内容73% similar

Cite This Claim

Stable URI

https://kongchang.com/claim/30404

API

curl https://kongchang.com/api/v1/knowledge/claims/30404

MCP

get_claim(id=30404)