Unverified70% confidenceFactExact time
LLMs' billing model is based on token count, with both input and output charged.
2
Sources
70%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn LLM business models, tokens are both the billing unit and a direct reflection of compute consumption.75% similarUnverifiedLLM输出具有非确定性，同一输入在不同时间可能产生不同输出，因此评估流水线常用LLM-as-Judge方法用另一个强大模型评判目标模型输出质量75% similarVerifiedLLMs generate output token by token in an autoregressive manner, with each word's selection based on probability sampling from the current context.74% similarUnverifiedLLMs are essentially next-token prediction machines based on statistical patterns, and their output is the text sequence with the highest probability given the context.74% similarUnverifiedLLM可通过分析输出token的对数概率分布、思维链末尾自我评估、温度采样统计答案分布熵值等手段近似估计决策置信度74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/901821API
curl https://kongchang.com/api/v1/knowledge/claims/901821MCP
get_claim(id=901821)