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.
Discussion on Jev Local Inference and Accuracy vs Laya
Users discuss whether Jev models can run locally, note the model size is unknown, and mention claims that Laya's accuracy falls short of Jev.
I wonder how much of it is just network latency. Jev never mentioned if its models can run locally or not. I don’t think we know the size of it yet. But yea some people saying Laya accuracy is not up to par with Jev which I would believe but I think that argument is missing the
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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.
