Unverified50% confidenceEventExact time
One real execution of a generateText call using wallaby('kimi-k3') consumed 92 input tokens and 117 output tokens.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/14/2026
First Seen
Valid until: 10/28/2026
Sources
Related Entities
Related Claims
UnverifiedToken由BPE（字节对编码）算法生成，英文文本平均每个token约对应4个字符（约0.75个单词）69% similarUnverifiedToken是模型处理文本的最小计量单位，OpenAI使用BPE算法将高频字符组合编码为单一Token，约75个英文单词≈100个Token66% similarUnverifiedThe same passage of text may be split into different numbers of tokens under different tokenizers, while API billing and context window limits are both measured in token counts.63% 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61% similarUnverifiedLarge language model APIs are generally billed by the total number of input plus output tokens, and re-injecting historical context on every call in long projects causes token consumption to balloon rapidly.60% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1023091API
curl https://kongchang.com/api/v1/knowledge/claims/1023091MCP
get_claim(id=1023091)