PhD physicist, author, ex-professor.

Jev arrived on OpenRouter on September 18, 2026. It is not a chat model. It takes a JSON state and typed questions and returns calibrated probabilities in about 100 milliseconds, for $0.042 per million input tokens with output free. TypeSafe claims it is 193x faster and 445x cheaper than frontier models on routing, scoring, and verification. Nobody outside TypeSafe has reproduced those numbers.
So do you move your classification, gating, and judging traffic off Claude? You do not guess. You measure. In six hours you will learn Jev from the first call to production thresholds, build a paired bakeoff harness, and run it against Claude Opus 5.5 on routing, scoring, judging, and agent gating. Every result carries a confidence interval, a latency, and a cost per million decisions. You leave with the harness, the numbers, and an eleven-question decision guide that names the right model for any task you bring.
Master Jev end to end, the pros and the cons.
Fan out a dozen questions in one round trip
Replace a chain of LLM calls with one
Bootstrap confidence intervals and McNemar's test
Determine if a gap is real or not before you switch
Claude writes and Jev verifies
Judge costs without cutting quality.
Prove recall on unsafe actions, including adversarial ones
Run agents with measured safety nets.

PhD physicist and corporate trainer.
AI engineers paying frontier prices for yes/no answers
Tech leads who own an agent
Data scientists moving into LLM work

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