System One Bench

Head to head

d1-omni-600M vs Drex v2.0

d1-omni-600M scores 65.2 and Drex v2.0 78.6 on the System One Index. d1-omni-600M is more accurate on 2 of 16 text datasets, Drex v2.0 on 14. Same cases, same request, same scorer.

Overall

d1-omni-600MDrex v2.0
System One Index65.278.6
English75.577.8
Arabic53.479.6
Vision Index––
Calibration error9.8%1.5%
Median latency–294 ms
Cost per 1,000 calls–$0.015

Text datasets, accuracy

d1-omni-600MDrex v2.0
AG News English87.588.0
SST-2 English86.594.0
SST-5 English47.056.0
DAIR Emotion English85.055.5
Banking77 English84.580.5
BoolQ English74.092.5
XNLI English English82.087.3
Typed decisions English57.568.7
XNLI French French65.377.3
XNLI Arabic Arabic52.771.3
MASSIVE scenario Arabic37.563.5
MASSIVE intent Arabic52.082.5
OSACT4 offensive Arabic77.594.5
Tweet sentiment Arabic32.569.5
MIRACL rerank Arabic55.087.0
MIRACL pairwise Arabic66.589.0

Model pages: d1-omni-600M · Drex v2.0. Latency for API models is the median per call through OpenRouter, timed from a cloud server with 8 calls in flight.