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 Engineering: Separating Reasoning from Decision-Making for Speed and Cost
Explains how Jev Engineering separates reasoning from decision-making, moves the expensive model out of every decision loop, and routes requests through the cheapest capable model, running up to 193x faster and 444x cheaper in tests.
Jev Engineering separates reasoning from decision-making, moves the expensive model out of every decision loop and routes requests through the cheapest capable model instead, running up to 193x faster and 444x cheaper in tests.
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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.
