DuplexJev-32B-Para vs ScaleDown Classify-1
DuplexJev-32B-Para and ScaleDown Classify-1 have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | DuplexJev-32B-Para | ScaleDown Classify-1 |
|---|---|---|
| Provider | adventists-ai | ScaleDown |
| Decision Index score | — | — |
| Calibration error (ECE) | — | — |
| Median latency (p50) | — | — |
| Cost per 1,000 decisions | — | $0.0080 |
| Parameters | 33B | — |
| Open weights | Yes | No |
| Question types | — | Choice (one of N options), Score (ordered rubric), Yes / no |
| Mechanism | Decoder LM with a decision readout | Encoder classifier |
| License | cc-by-nc-4.0 | proprietary |
FAQ
Is DuplexJev-32B-Para 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, DuplexJev-32B-Para or ScaleDown Classify-1?
No calibration difference between DuplexJev-32B-Para and ScaleDown Classify-1 is recorded yet.
Is DuplexJev-32B-Para or ScaleDown Classify-1 cheaper per 1,000 decisions?
A hosted price is not recorded for both models; open-weight models cost the compute you run them on.
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.