ScaleDown Classify-1 vs Mercury Decide
Mercury Decide is cheaper per 1,000 decisions. Choose on whichever of accuracy, calibration and cost matters most for your decisions.
| Spec | ScaleDown Classify-1 | Mercury Decide |
|---|---|---|
| Provider | ScaleDown | Inception |
| Decision Index score | — | — |
| Calibration error (ECE) | — | — |
| Median latency (p50) | — | — |
| Cost per 1,000 decisions | $0.0080 | $0.0040 |
| Parameters | — | — |
| Open weights | No | No |
| Question types | Choice (one of N options), Score (ordered rubric), Yes / no | Choice (one of N options), Score (ordered rubric), Yes / no |
| Mechanism | Encoder classifier | Hosted API |
| License | proprietary | proprietary |
FAQ
Is ScaleDown Classify-1 or Mercury Decide more accurate?
At least one of the two has no Jev Decision Index score yet, so their accuracy cannot be compared here.
Which is better calibrated, ScaleDown Classify-1 or Mercury Decide?
No calibration difference between ScaleDown Classify-1 and Mercury Decide is recorded yet.
Is ScaleDown Classify-1 or Mercury Decide cheaper per 1,000 decisions?
Mercury Decide is cheaper: about $0.0040 vs $0.0080 per 1,000 decisions at 200 input tokens each.
Cost per 1,000 decisions assumes 200 input tokens per decision. Pricing is indicative — confirm with the provider before production use. Highlighted values indicate the better figure for that row.