Why Jev's output is free: it only answers choice, score and yes/no questions
Jev doesn't generate sentences but answers structured judgments via parallel sampling rather than token-by-token generation, running end to end in 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
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