System One Bench

Head to head

d1-3B vs Decider V1.2

d1-3B scores 78.4 and Decider V1.2 84.6 on the System One Index. d1-3B is more accurate on 1 of 16 text datasets, Decider V1.2 on 13, and 2 are tied. Same cases, same request, same scorer.

Overall

d1-3BDecider V1.2
System One Index78.484.6
English78.482.0
Arabic78.386.9
Vision Index–83.8
Calibration error2.4%0.7%
Median latency–178 ms
Cost per 1,000 calls–$0.007

Text datasets, accuracy

d1-3BDecider V1.2
AG News English88.591.5
SST-2 English95.595.5
SST-5 English56.060.0
DAIR Emotion English63.560.0
Banking77 English88.088.0
BoolQ English85.091.5
XNLI English English86.094.0
Typed decisions English64.875.1
XNLI French French78.790.0
XNLI Arabic Arabic73.390.0
MASSIVE scenario Arabic71.579.0
MASSIVE intent Arabic83.591.0
OSACT4 offensive Arabic84.595.0
Tweet sentiment Arabic63.575.5
MIRACL rerank Arabic82.586.5
MIRACL pairwise Arabic89.091.5

Image datasets, accuracy

d1-3BDecider V1.2
SST-2, as an image–94.5
Arabic sentiment, as an image–57.0
Oxford-IIIT Pet–85.5
VQAv2 yes/no–86.5
CountBench–95.5

Model pages: d1-3B · Decider V1.2. Latency for API models is the median per call through OpenRouter, timed from a cloud server with 8 calls in flight.