Celeris-1 Decision vs Microsoft-Decision-1
Celeris-1 Decision is cheaper per 1,000 decisions. Choose on whichever of accuracy, calibration and cost matters most for your decisions.
| Spec | Celeris-1 Decision | Microsoft-Decision-1 |
|---|---|---|
| Provider | Celeris | Microsoft |
| Decision Index score | — | — |
| Calibration error (ECE) | — | — |
| Median latency (p50) | — | — |
| Cost per 1,000 decisions | $0.0080 | $0.0084 |
| 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 | Diffusion LM | Hosted API |
| License | proprietary | proprietary |
FAQ
Is Celeris-1 Decision or Microsoft-Decision-1 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, Celeris-1 Decision or Microsoft-Decision-1?
No calibration difference between Celeris-1 Decision and Microsoft-Decision-1 is recorded yet.
Is Celeris-1 Decision or Microsoft-Decision-1 cheaper per 1,000 decisions?
Celeris-1 Decision 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.