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 vs Chat Models: Reading Signals or Text, Returning Decisions or Chat
The post uses two questions to place models: do they read human text or machine signals, and do they return a chat or a decision? Chat models sit top left, Jev and guard models bottom left, while the right side is nearly empty.
Two questions place any model. What does it read: human text or machine signals? What does it return: a chat or a decision? Chat models top left. Jev and the guard models bottom left. The right side, where a plant lives, is nearly empty.
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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.
