Celeris-1 Decision vs LAYA
LAYA is cheaper per 1,000 decisions. Choose on whichever of accuracy, calibration and cost matters most for your decisions.
| Spec | Celeris-1 Decision | LAYA |
|---|---|---|
| Provider | Celeris | Convai Innovations |
| Decision Index score | — | 4.4 |
| Calibration error (ECE) | — | 0.140 |
| Median latency (p50) | — | 6 ms |
| Cost per 1,000 decisions | $0.0080 | Free |
| Parameters | — | 421M |
| 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 | Diffusion LM | Encoder classifier |
| License | proprietary | Apache 2.0 |
FAQ
Is Celeris-1 Decision or LAYA 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 LAYA?
No calibration difference between Celeris-1 Decision and LAYA is recorded yet.
Is Celeris-1 Decision or LAYA cheaper per 1,000 decisions?
LAYA is cheaper: about Free vs $0.0080 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.