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 AI: Low-Cost Routing and Selection
Jev routes requests in a laptop Jarvis, reads a million tokens for 4.2 cents, outputs free, and picks an answer from your list.
Jev, the AI that routes requests in a laptop Jarvis, reads a million tokens for 4.2 cents, and its output is free. Tokens are the word pieces an AI reads. Claude Haiku 4.5 lists $1 per million in and $5 out. They do different jobs: Jev only picks an answer from your list,
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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.
