ScaleDown Classify-1 vs Fastino GLiDE
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 | Fastino GLiDE |
|---|---|---|
| Provider | ScaleDown | Fastino |
| Decision Index score | — | 60.2 |
| Calibration error (ECE) | — | 0.040 |
| Median latency (p50) | — | 98 ms |
| Cost per 1,000 decisions | $0.0080 | $0.030 |
| Parameters | — | 28B |
| Open weights | No | No |
| 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 | Hosted API |
| License | proprietary | proprietary |
FAQ
Is ScaleDown Classify-1 or Fastino GLiDE 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 Fastino GLiDE?
No calibration difference between ScaleDown Classify-1 and Fastino GLiDE is recorded yet.
Is ScaleDown Classify-1 or Fastino GLiDE cheaper per 1,000 decisions?
ScaleDown Classify-1 is cheaper: about $0.0080 vs $0.030 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.