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.
Drex surpasses Jev on Decision Index
The post notes Nace.AI's report that Drex passed Jev for #1 on the Decision Index, describing Drex as a small model built for decisions that returns probabilities for each given option.
https://Nace.AI reports that Drex just passed Jev for #1 on the Decision Index. I tested Jev a few days ago, so I had to try this one too. Drex is a small model built for decisions, not text. You give it context and a set of options, and it returns probabilities for each
· 11 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.
