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: The ChatGPT Moment for AI Infrastructure
A two-page working note explains what Jev is, how its three primitives work, and how to start using it, citing up to 193x faster and 444x cheaper in tests.
Jev is the "ChatGPT" moment for AI infrastructure: up to 193x faster and 444x cheaper in tests with Claude Fable 5.1 and GPT-6 Astra What Jev is, how the three primitives work, and how to start using it, in my 2-page working note: step 1 → meet the constraint: it generates no
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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.
