Head to head
d1-omni-600M scores 65.2 and Jev 1.13 79.0 on the System One Index. d1-omni-600M is more accurate on 2 of 16 text datasets, Jev 1.13 on 14. Same cases, same request, same scorer.
| d1-omni-600M | Jev 1.13 | |
|---|---|---|
| System One Index | 65.2 | 79.0 |
| English | 75.5 | 78.5 |
| Arabic | 53.4 | 79.9 |
| Vision Index | – | 83.9 |
| Calibration error | 9.8% | 6.1% |
| Median latency | – | 150 ms |
| Cost per 1,000 calls | – | $0.028 |
| d1-omni-600M | Jev 1.13 | |
|---|---|---|
| AG News English | 87.5 | 88.5 |
| SST-2 English | 86.5 | 94.5 |
| SST-5 English | 47.0 | 62.0 |
| DAIR Emotion English | 85.0 | 56.0 |
| Banking77 English | 84.5 | 79.0 |
| BoolQ English | 74.0 | 89.5 |
| XNLI English English | 82.0 | 86.0 |
| Typed decisions English | 57.5 | 72.7 |
| XNLI French French | 65.3 | 76.7 |
| XNLI Arabic Arabic | 52.7 | 69.3 |
| MASSIVE scenario Arabic | 37.5 | 63.0 |
| MASSIVE intent Arabic | 52.0 | 84.0 |
| OSACT4 offensive Arabic | 77.5 | 90.0 |
| Tweet sentiment Arabic | 32.5 | 76.0 |
| MIRACL rerank Arabic | 55.0 | 86.5 |
| MIRACL pairwise Arabic | 66.5 | 90.5 |
| d1-omni-600M | Jev 1.13 | |
|---|---|---|
| SST-2, as an image | – | 94.5 |
| Arabic sentiment, as an image | – | 59.0 |
| Oxford-IIIT Pet | – | 83.5 |
| VQAv2 yes/no | – | 88.0 |
| CountBench | – | 94.5 |
Model pages: d1-omni-600M · Jev 1.13. Latency for API models is the median per call through OpenRouter, timed from one machine.