ScaleDown Classify-1 vs Qwen Decision 27B noncausal LoRA
ScaleDown Classify-1 and Qwen Decision 27B noncausal LoRA have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | ScaleDown Classify-1 | Qwen Decision 27B noncausal LoRA |
|---|---|---|
| Provider | ScaleDown | jsaurabh |
| Decision Index score | — | 58.5 |
| Calibration error (ECE) | — | 0.051 |
| Median latency (p50) | — | 127 ms |
| Cost per 1,000 decisions | $0.0080 | — |
| Parameters | — | 28B |
| Open weights | No | Yes |
| Question types | Choice (one of N options), Score (ordered rubric), Yes / no | Choice (one of N options), Score (ordered rubric), Yes / no |
| Mechanism | Encoder classifier | Decoder LM with a decision readout |
| License | proprietary | apache-2.0 |
FAQ
Is ScaleDown Classify-1 or Qwen Decision 27B noncausal LoRA 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 Qwen Decision 27B noncausal LoRA?
No calibration difference between ScaleDown Classify-1 and Qwen Decision 27B noncausal LoRA is recorded yet.
Is ScaleDown Classify-1 or Qwen Decision 27B noncausal LoRA 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.