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 'Internet' Moment for AI, Up to 193x Faster and 444x Cheaper
Introduces how Jev works: LLM writes, agents act, Jev chooses the next move, claiming up to 193x speedup and 444x cost reduction in tests.
Jev is "Internet" moment for AI: up to 193x faster and 444x cheaper in tests with Claude Fable 5.1 and GPT-6 Astra Whar is Jev, how to use and unlock its real 100х advantage in my 10-page research: step 1 → meet Jev: LLM writes, agents act, Jev chooses the next move - split
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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.
