Jev versus text-generating models
Jev does not generate free-form text. A side-by-side video compares parallel decision-making with token-by-token text generation.
TypeSafe AI's Jev: Decisions as yes/no, choices, or scores instead of text
Introduces TypeSafe AI's Jev model: it generates no words, returning yes/no, a choice, or a score with probabilities in 70–500 ms at $0.042 per million.
Most LLM calls inside agents are decisions dressed up as text. The industry decided that intelligence has to speak in full sentences. Jev from TypeSafe AI generates zero words. It returns a yes/no, a choice or a score with probabilities in 70 to 500 ms, at $0.042 per million
· 0 likesOpen on X
More like this
Pricing, evaluations, and the name Jev
The launch thread explains code-and-AI workflow evaluations, the input price announced at launch, and free output tokens.
Jev Model: Decision-Making Probability Generation, 200× Faster and 400× Cheaper Than LLMs
This model is built for decision-making rather than text generation, outputting probabilities for each option in parallel instead of token-by-token responses. The author shares a simplified comparison of normal LLMs versus this Jev model.
