ScaleDown Classify-1 vs GPT-6 Luna Decisions (OpenAI Decisions API)
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 | GPT-6 Luna Decisions (OpenAI Decisions API) |
|---|---|---|
| Provider | ScaleDown | OpenAI |
| Decision Index score | — | — |
| Calibration error (ECE) | — | — |
| Median latency (p50) | — | — |
| Cost per 1,000 decisions | $0.0080 | $0.020 |
| Parameters | — | — |
| 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 GPT-6 Luna Decisions (OpenAI Decisions API) 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 GPT-6 Luna Decisions (OpenAI Decisions API)?
No calibration difference between ScaleDown Classify-1 and GPT-6 Luna Decisions (OpenAI Decisions API) is recorded yet.
Is ScaleDown Classify-1 or GPT-6 Luna Decisions (OpenAI Decisions API) cheaper per 1,000 decisions?
ScaleDown Classify-1 is cheaper: about $0.0080 vs $0.020 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.