Jev as judge vs LLM as judge: 100 agent trajectories benchmarked
On the same 100 agent trajectories, Jev scored in 13.5s for $0.0019 versus GPT-5.5's 120.8s and $0.419, with per-trajectory scores shown on video.
Jev as a judge vs. LLM as a judge: Same 100 agent trajectories. Two evaluators. - Jev: 13.5 seconds, $0.001912 - GPT-5.5: 120.8 seconds, $0.419130 Jev was roughly 9× faster and 219× cheaper in this run. A general-purpose LLM generates its judgment token by token. Jev returns focused, typed judgments and probabilities against defined criteria. The video shows the comparison live, with a score for every trajectory. For another way to use Jev, the guide below walks through pairing it with Opus to cut token usage by 90%.
This post quotes another post: x.com/simplifyinai/status/2112082277165568335