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.
Video Explains How Jev's Token-by-Token Generation Changes Cost and Speed
Nilay Coskun shares a video noting token-by-token generation makes tokens cheaper and responses faster, reminding us to use the right model for the right task.
Another great video explaining Jev! "when you drop token by token generation the economics totally change. Token become cheaper and responses came back faster" "so Jev has reminded us once again to use the right model for the right. While bigger reasoning models are great for
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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.
