Celeris-1 Decision vs EXAONE-4.0-1.2B-JEV v0.3
Celeris-1 Decision and EXAONE-4.0-1.2B-JEV v0.3 have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | Celeris-1 Decision | EXAONE-4.0-1.2B-JEV v0.3 |
|---|---|---|
| Provider | Celeris | carrtesy |
| Decision Index score | — | 23.3 |
| Calibration error (ECE) | — | 0.079 |
| Median latency (p50) | — | 149 ms |
| Cost per 1,000 decisions | $0.0080 | — |
| Parameters | — | 1B |
| 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 | Decoder LM with a decision readout |
| License | proprietary | exaone |
FAQ
Is Celeris-1 Decision or EXAONE-4.0-1.2B-JEV v0.3 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 EXAONE-4.0-1.2B-JEV v0.3?
No calibration difference between Celeris-1 Decision and EXAONE-4.0-1.2B-JEV v0.3 is recorded yet.
Is Celeris-1 Decision or EXAONE-4.0-1.2B-JEV v0.3 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.