Head to head
Naluri-279M scores 50.4 and Classify-1 30.6 on the System One Index. Naluri-279M is more accurate on 14 of 16 text datasets, Classify-1 on 0, and 2 are tied. Same cases, same request, same scorer.
| Naluri-279M | Classify-1 | |
|---|---|---|
| System One Index | 50.4 | 30.6 |
| English | 52.6 | 30.7 |
| Arabic | 50.7 | 30.6 |
| Vision Index | – | – |
| Calibration error | 8.3% | 3.2% |
| Median latency | – | 254 ms |
| Cost per 1,000 calls | – | $0.018 |
| Naluri-279M | Classify-1 | |
|---|---|---|
| AG News English | 77.5 | 26.5 |
| SST-2 English | 77.0 | 50.0 |
| SST-5 English | 34.0 | 13.0 |
| DAIR Emotion English | 68.5 | 59.0 |
| Banking77 English | 31.0 | 1.0 |
| BoolQ English | 54.5 | 38.0 |
| XNLI English English | 30.7 | 30.7 |
| Typed decisions English | 47.3 | 27.2 |
| XNLI French French | 31.3 | 30.7 |
| XNLI Arabic Arabic | 30.7 | 30.7 |
| MASSIVE scenario Arabic | 58.0 | 3.0 |
| MASSIVE intent Arabic | 52.0 | 3.5 |
| OSACT4 offensive Arabic | 82.5 | 80.0 |
| Tweet sentiment Arabic | 53.0 | 35.0 |
| MIRACL rerank Arabic | 28.0 | 12.0 |
| MIRACL pairwise Arabic | 50.5 | 50.0 |
Model pages: Naluri-279M · Classify-1. Latency for API models is the median per call through OpenRouter, timed from a cloud server with 8 calls in flight.