Jev 定价逻辑拆解：只做 choice/score/yes-no 三类判断
解释 Jev 为何输出免费：它不生成句子，只回答结构化判断，靠并行采样而非逐 token 生成，端到端 70–500ms。
Jev doesn't write text... and the pricing model only makes sense once you get why $0.042 per million input tokens, output is free: - jev never generates a sentence, it answers one of three question types: choice, score, or yes/no probability - every model since chatgpt got optimized to be helpful in conversation, jev is optimized for the opposite... fast decisions under uncertainty - parallel sampling instead of token-by-token generation, that's the actual reason output costs nothing - 70-500ms end to end, 40 to 200x faster than a frontier model on the same task - structured in, structured out... choice, score, null, the same primitives every automation pipeline already runs on - built for the stuff current LLMs technically can do but were never optimized for... routing, sorting, filtering at scale frontier models keep getting smarter at conversation, jev is betting the bigger opportunity was never in the chat window at all
这条是引用着另一条写的：x.com/rewind02/status/2102712931766915139