System One Bench

Head to head

Kev 4B vs Drex v2.0

Kev 4B scores 76.8 and Drex v2.0 78.6 on the System One Index. Kev 4B is more accurate on 5 of 16 text datasets, Drex v2.0 on 11. Same cases, same request, same scorer.

Overall

Kev 4BDrex v2.0
System One Index76.878.6
English78.377.8
Arabic74.879.6
Vision Index––
Calibration error5.1%1.5%
Median latency552 ms294 ms
Cost per 1,000 calls$0.010$0.015

Text datasets, accuracy

Kev 4BDrex v2.0
AG News English90.588.0
SST-2 English92.594.0
SST-5 English52.056.0
DAIR Emotion English54.555.5
Banking77 English88.080.5
BoolQ English91.592.5
XNLI English English90.787.3
Typed decisions English66.368.7
XNLI French French79.377.3
XNLI Arabic Arabic72.771.3
MASSIVE scenario Arabic57.063.5
MASSIVE intent Arabic76.582.5
OSACT4 offensive Arabic88.594.5
Tweet sentiment Arabic63.069.5
MIRACL rerank Arabic79.587.0
MIRACL pairwise Arabic86.589.0

Model pages: Kev 4B · Drex v2.0. Latency for API models is the median per call through OpenRouter, timed from a cloud server with 8 calls in flight.