Head to head
Mercury Decide scores 82.4 and d1-ultra 82.9 on the System One Index. Mercury Decide is more accurate on 3 of 16 text datasets, d1-ultra on 11, and 2 are tied. Same cases, same request, same scorer.
| Mercury Decide | d1-ultra | |
|---|---|---|
| System One Index | 82.4 | 82.9 |
| English | 83.7 | 81.7 |
| Arabic | 80.8 | 84.2 |
| Vision Index | 79.4 | 85.6 |
| Calibration error | 13.1% | 1.0% |
| Median latency | 276 ms | 168 ms |
| Cost per 1,000 calls | Free | $0.010 |
| Mercury Decide | d1-ultra | |
|---|---|---|
| AG News English | 92.0 | 91.0 |
| SST-2 English | 95.5 | 95.5 |
| SST-5 English | 52.0 | 61.5 |
| DAIR Emotion English | 91.5 | 63.0 |
| Banking77 English | 86.0 | 83.5 |
| BoolQ English | 90.5 | 91.5 |
| XNLI English English | 91.3 | 92.7 |
| Typed decisions English | 71.1 | 75.0 |
| XNLI French French | 82.7 | 83.3 |
| XNLI Arabic Arabic | 76.0 | 76.0 |
| MASSIVE scenario Arabic | 72.0 | 76.0 |
| MASSIVE intent Arabic | 85.0 | 87.0 |
| OSACT4 offensive Arabic | 92.0 | 94.5 |
| Tweet sentiment Arabic | 62.5 | 76.0 |
| MIRACL rerank Arabic | 88.0 | 89.0 |
| MIRACL pairwise Arabic | 90.0 | 91.0 |
| Mercury Decide | d1-ultra | |
|---|---|---|
| SST-2, as an image | 93.0 | 97.0 |
| Arabic sentiment, as an image | 39.0 | 62.5 |
| Oxford-IIIT Pet | 84.5 | 87.5 |
| VQAv2 yes/no | 87.0 | 89.5 |
| CountBench | 93.5 | 91.5 |
Model pages: Mercury Decide ยท d1-ultra. Latency for API models is the median per call through OpenRouter, timed from a cloud server with 8 calls in flight.