ScaleDown Classify-1 vs Tev1-4B-experimental
ScaleDown Classify-1 is cheaper per 1,000 decisions. Choose on whichever of accuracy, calibration and cost matters most for your decisions.
| Spec | ScaleDown Classify-1 | Tev1-4B-experimental |
|---|---|---|
| Provider | ScaleDown | Together |
| Decision Index score | — | 34.1 |
| Calibration error (ECE) | — | 0.104 |
| Median latency (p50) | — | 36 ms |
| Cost per 1,000 decisions | $0.0080 | $0.0084 |
| Parameters | — | 5B |
| 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 | — |
FAQ
Is ScaleDown Classify-1 or Tev1-4B-experimental 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 Tev1-4B-experimental?
No calibration difference between ScaleDown Classify-1 and Tev1-4B-experimental is recorded yet.
Is ScaleDown Classify-1 or Tev1-4B-experimental cheaper per 1,000 decisions?
ScaleDown Classify-1 is cheaper: about $0.0080 vs $0.0084 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.