ScaleDown Classify-1 vs Perplexity: Decider Latest
Perplexity: Decider Latest is cheaper per 1,000 decisions. Choose on whichever of accuracy, calibration and cost matters most for your decisions.
| Spec | ScaleDown Classify-1 | Perplexity: Decider Latest |
|---|---|---|
| Provider | ScaleDown | Perplexity |
| Decision Index score | — | — |
| Calibration error (ECE) | — | — |
| Median latency (p50) | — | — |
| Cost per 1,000 decisions | $0.0080 | $0.0040 |
| Parameters | — | — |
| Open weights | No | — |
| Question types | Choice (one of N options), Score (ordered rubric), Yes / no | — |
| Mechanism | Encoder classifier | — |
| License | proprietary | — |
FAQ
Is ScaleDown Classify-1 or Perplexity: Decider Latest 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 Perplexity: Decider Latest?
No calibration difference between ScaleDown Classify-1 and Perplexity: Decider Latest is recorded yet.
Is ScaleDown Classify-1 or Perplexity: Decider Latest cheaper per 1,000 decisions?
Perplexity: Decider Latest 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.