ScaleDown Classify-1 vs RLCD ModernBERT 151M
ScaleDown Classify-1 and RLCD ModernBERT 151M have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | ScaleDown Classify-1 | RLCD ModernBERT 151M |
|---|---|---|
| Provider | ScaleDown | heman10x |
| Decision Index score | — | 0.0 |
| Calibration error (ECE) | — | 0.154 |
| Median latency (p50) | — | 11 ms |
| Cost per 1,000 decisions | $0.0080 | — |
| Parameters | — | 151M |
| Open weights | No | Yes |
| Question types | Choice (one of N options), Score (ordered rubric), Yes / no | Choice (one of N options), Yes / no |
| Mechanism | Encoder classifier | Encoder classifier |
| License | proprietary | Apache 2.0 |
FAQ
Is ScaleDown Classify-1 or RLCD ModernBERT 151M 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 RLCD ModernBERT 151M?
No calibration difference between ScaleDown Classify-1 and RLCD ModernBERT 151M is recorded yet.
Is ScaleDown Classify-1 or RLCD ModernBERT 151M 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.