LAYA multilingual vs Celeris-1 Decision
LAYA multilingual and Celeris-1 Decision have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | LAYA multilingual | Celeris-1 Decision |
|---|---|---|
| Provider | Convai Innovations | Celeris |
| Decision Index score | — | — |
| Calibration error (ECE) | — | — |
| Median latency (p50) | — | — |
| Cost per 1,000 decisions | — | $0.0080 |
| Parameters | 322M | — |
| Open weights | Yes | 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 | Diffusion LM |
| License | Apache 2.0 | proprietary |
FAQ
Is LAYA multilingual 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, LAYA multilingual or Celeris-1 Decision?
No calibration difference between LAYA multilingual and Celeris-1 Decision is recorded yet.
Is LAYA multilingual or Celeris-1 Decision cheaper per 1,000 decisions?
A hosted price is not recorded for both models; open-weight models cost the compute you run them on.
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.