Model
Jev 1.13
A decision model ranked fourth in the S1MB Japanese track.
Timeline (last 90 days)
Oct 15
According to officially published data, Nimble-v4-max scores 10.5 points higher than Jev 1.13 on the public Decision Index score.
Unverified50%
Oct 13
In a test of 520 verified comments, Jev 1.13 achieved 94.0% accuracy, detected 175/184 pieces of abusive content, falsely flagged 22/336 clean items, had a median latency of 250ms, and cost $0.05 per thousand calls.
Unverified50%
All Facts (2)
Unverified
According to officially published data, Nimble-v4-max scores 10.5 points higher than Jev 1.13 on the public Decision Index score.
50%UnverifiedIn a test of 520 verified comments, Jev 1.13 achieved 94.0% accuracy, detected 175/184 pieces of abusive content, falsely flagged 22/336 clean items, had a median latency of 250ms, and cost $0.05 per thousand calls.
50%