Head to head
Kev 4B scores 76.8 and Naluri-279M 50.4 on the System One Index. Kev 4B is more accurate on 14 of 16 text datasets, Naluri-279M on 2. Same cases, same request, same scorer.
| Kev 4B | Naluri-279M | |
|---|---|---|
| System One Index | 76.8 | 50.4 |
| English | 78.3 | 52.6 |
| Arabic | 74.8 | 50.7 |
| Vision Index | – | – |
| Calibration error | 5.1% | 8.3% |
| Median latency | 552 ms | – |
| Cost per 1,000 calls | $0.010 | – |
| Kev 4B | Naluri-279M | |
|---|---|---|
| AG News English | 90.5 | 77.5 |
| SST-2 English | 92.5 | 77.0 |
| SST-5 English | 52.0 | 34.0 |
| DAIR Emotion English | 54.5 | 68.5 |
| Banking77 English | 88.0 | 31.0 |
| BoolQ English | 91.5 | 54.5 |
| XNLI English English | 90.7 | 30.7 |
| Typed decisions English | 66.3 | 47.3 |
| XNLI French French | 79.3 | 31.3 |
| XNLI Arabic Arabic | 72.7 | 30.7 |
| MASSIVE scenario Arabic | 57.0 | 58.0 |
| MASSIVE intent Arabic | 76.5 | 52.0 |
| OSACT4 offensive Arabic | 88.5 | 82.5 |
| Tweet sentiment Arabic | 63.0 | 53.0 |
| MIRACL rerank Arabic | 79.5 | 28.0 |
| MIRACL pairwise Arabic | 86.5 | 50.5 |
Model pages: Kev 4B · Naluri-279M. Latency for API models is the median per call through OpenRouter, timed from one machine.