System One Bench

Head to head

Naluri-279M vs Span-02

Naluri-279M scores 50.4 and Span-02 79.5 on the System One Index. Naluri-279M is more accurate on 1 of 16 text datasets, Span-02 on 15. Same cases, same request, same scorer.

Overall

Naluri-279MSpan-02
System One Index50.479.5
English52.677.9
Arabic50.782.3
Vision Index–86.1
Calibration error8.3%10.5%
Median latency–204 ms
Cost per 1,000 calls–$0.005

Text datasets, accuracy

Naluri-279MSpan-02
AG News English77.586.5
SST-2 English77.095.5
SST-5 English34.057.5
DAIR Emotion English68.556.0
Banking77 English31.082.0
BoolQ English54.590.0
XNLI English English30.783.3
Typed decisions English47.372.1
XNLI French French31.373.3
XNLI Arabic Arabic30.766.0
MASSIVE scenario Arabic58.071.0
MASSIVE intent Arabic52.086.0
OSACT4 offensive Arabic82.597.0
Tweet sentiment Arabic53.076.0
MIRACL rerank Arabic28.088.5
MIRACL pairwise Arabic50.591.5

Image datasets, accuracy

Naluri-279MSpan-02
SST-2, as an image–92.5
Arabic sentiment, as an image–70.0
Oxford-IIIT Pet–92.5
VQAv2 yes/no–87.0
CountBench–88.5

Model pages: Naluri-279M · Span-02. Latency for API models is the median per call through OpenRouter, timed from a cloud server with 8 calls in flight.