ScaleDown Classify-1 vs djev-spark
ScaleDown Classify-1 and djev-spark have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | ScaleDown Classify-1 | djev-spark |
|---|---|---|
| Provider | ScaleDown | mmastrac |
| Decision Index score | — | — |
| Calibration error (ECE) | — | — |
| Median latency (p50) | — | — |
| Cost per 1,000 decisions | $0.0080 | — |
| Parameters | — | — |
| Open weights | No | Yes |
| Question types | Choice (one of N options), Score (ordered rubric), Yes / no | — |
| Mechanism | Encoder classifier | Diffusion LM |
| License | proprietary | — |
FAQ
Is ScaleDown Classify-1 or djev-spark 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 djev-spark?
No calibration difference between ScaleDown Classify-1 and djev-spark is recorded yet.
Is ScaleDown Classify-1 or djev-spark 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.