Unverified50% confidenceFactExact time
LLM APIs are priced separately for input and output tokens, and the per-token price does not change with the temperature and seed parameters.
1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLLM 的输出非确定性根源于自回归生成机制,即使输入相同,Temperature、Top-p 等采样参数也会导致不同输出71% similarUnverifiedLLM网关面临泄漏抽象问题,模型能力的本质差异会泄漏到上层,如system prompt格式、temperature参数语义、function calling调用规范差异66% similarUnverified传统 LLM 代码生成本质上是开环系统,模型生成代码后无法验证实际执行结果65% similarUnverified使用 LLM API 聚合服务商时只需修改配置中的模型名称参数即可在不同底层模型间切换,降低模型供应商锁定风险64% similarVerifiedWhen generating each token, LLMs randomly sample from a probability distribution according to a temperature parameter rather than selecting the deterministic output with the highest probability, thereby producing emergent properties.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1052535API
curl https://kongchang.com/api/v1/knowledge/claims/1052535MCP
get_claim(id=1052535)