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.
Jev: An AI Model That Generates No Text for Software Decisions
The Jev model does not generate text; it provides typed responses and probabilities to automate software decisions and classify data. $0.042 per input, free output.
jev : un modèle d’intelligence artificielle qui ne génère aucun texte pour automatiser les décisions logicielles. Il fournit des réponses typées et des probabilités pour trier/classer des données. Choix multiples, scores, probabilités. 0,042 $ en entrée, gratuit en sortie.
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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.
