Head to head
Clef scores 81.6 and Mercury Decide 82.4 on the System One Index. Clef is more accurate on 8 of 16 text datasets, Mercury Decide on 8. Same cases, same request, same scorer.
| Clef | Mercury Decide | |
|---|---|---|
| System One Index | 81.6 | 82.4 |
| English | 80.6 | 83.7 |
| Arabic | 83.0 | 80.8 |
| Vision Index | 78.1 | 79.4 |
| Calibration error | 2.2% | 13.1% |
| Median latency | 310 ms | 276 ms |
| Cost per 1,000 calls | $0.116 | Free |
| Clef | Mercury Decide | |
|---|---|---|
| AG News English | 90.5 | 92.0 |
| SST-2 English | 97.0 | 95.5 |
| SST-5 English | 51.5 | 52.0 |
| DAIR Emotion English | 58.5 | 91.5 |
| Banking77 English | 95.5 | 86.0 |
| BoolQ English | 91.0 | 90.5 |
| XNLI English English | 88.7 | 91.3 |
| Typed decisions English | 72.2 | 71.1 |
| XNLI French French | 80.0 | 82.7 |
| XNLI Arabic Arabic | 78.0 | 76.0 |
| MASSIVE scenario Arabic | 88.0 | 72.0 |
| MASSIVE intent Arabic | 89.5 | 85.0 |
| OSACT4 offensive Arabic | 89.5 | 92.0 |
| Tweet sentiment Arabic | 58.0 | 62.5 |
| MIRACL rerank Arabic | 89.0 | 88.0 |
| MIRACL pairwise Arabic | 89.0 | 90.0 |
| Clef | Mercury Decide | |
|---|---|---|
| SST-2, as an image | 95.5 | 93.0 |
| Arabic sentiment, as an image | 35.0 | 39.0 |
| Oxford-IIIT Pet | 82.5 | 84.5 |
| VQAv2 yes/no | 87.5 | 87.0 |
| CountBench | 90.0 | 93.5 |
Model pages: Clef ยท Mercury Decide. Latency for API models is the median per call through OpenRouter, timed from one machine.