GPT-6 Luna Decisions (OpenAI Decisions API) vs Celeris-1 Decision
Celeris-1 Decision is cheaper per 1,000 decisions. Choose on whichever of accuracy, calibration and cost matters most for your decisions.
| Spec | GPT-6 Luna Decisions (OpenAI Decisions API) | Celeris-1 Decision |
|---|---|---|
| Provider | OpenAI | Celeris |
| Decision Index score | — | — |
| Calibration error (ECE) | — | — |
| Median latency (p50) | — | — |
| Cost per 1,000 decisions | $0.020 | $0.0080 |
| 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 | Hosted API | Diffusion LM |
| License | proprietary | proprietary |
FAQ
Is GPT-6 Luna Decisions (OpenAI Decisions API) or Celeris-1 Decision 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, GPT-6 Luna Decisions (OpenAI Decisions API) or Celeris-1 Decision?
No calibration difference between GPT-6 Luna Decisions (OpenAI Decisions API) and Celeris-1 Decision is recorded yet.
Is GPT-6 Luna Decisions (OpenAI Decisions API) or Celeris-1 Decision cheaper per 1,000 decisions?
Celeris-1 Decision 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.