Head to head
Naluri-308M scores 61.0 and Drex v2.0 78.6 on the System One Index. Naluri-308M is more accurate on 1 of 16 text datasets, Drex v2.0 on 14, and 1 are tied. Same cases, same request, same scorer.
| Naluri-308M | Drex v2.0 | |
|---|---|---|
| System One Index | 61.0 | 78.6 |
| English | 59.3 | 77.8 |
| Arabic | 61.9 | 79.6 |
| Vision Index | – | – |
| Calibration error | 5.7% | 1.5% |
| Median latency | – | 294 ms |
| Cost per 1,000 calls | – | $0.015 |
| Naluri-308M | Drex v2.0 | |
|---|---|---|
| AG News English | 79.5 | 88.0 |
| SST-2 English | 68.5 | 94.0 |
| SST-5 English | 28.0 | 56.0 |
| DAIR Emotion English | 84.0 | 55.5 |
| Banking77 English | 27.0 | 80.5 |
| BoolQ English | 56.5 | 92.5 |
| XNLI English English | 76.0 | 87.3 |
| Typed decisions English | 54.7 | 68.7 |
| XNLI French French | 68.0 | 77.3 |
| XNLI Arabic Arabic | 56.7 | 71.3 |
| MASSIVE scenario Arabic | 63.5 | 63.5 |
| MASSIVE intent Arabic | 65.5 | 82.5 |
| OSACT4 offensive Arabic | 79.5 | 94.5 |
| Tweet sentiment Arabic | 58.0 | 69.5 |
| MIRACL rerank Arabic | 34.0 | 87.0 |
| MIRACL pairwise Arabic | 76.0 | 89.0 |
Model pages: Naluri-308M · Drex v2.0. Latency for API models is the median per call through OpenRouter, timed from a cloud server with 8 calls in flight.