Mercury Decide vs ScaleDown Classify-1
Mercury Decide is cheaper per 1,000 decisions. Choose on whichever of accuracy, calibration and cost matters most for your decisions.
| Spec | Mercury Decide | ScaleDown Classify-1 |
|---|---|---|
| Provider | Inception | ScaleDown |
| Decision Index score | — | — |
| Calibration error (ECE) | — | — |
| Median latency (p50) | — | — |
| Cost per 1,000 decisions | $0.0040 | $0.0080 |
| 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 | Hosted API | Encoder classifier |
| License | proprietary | proprietary |
FAQ
Is Mercury Decide or ScaleDown Classify-1 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, Mercury Decide or ScaleDown Classify-1?
No calibration difference between Mercury Decide and ScaleDown Classify-1 is recorded yet.
Is Mercury Decide or ScaleDown Classify-1 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.