Celeris-1 Decision vs ezjev 4B s2
Celeris-1 Decision and ezjev 4B s2 have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | Celeris-1 Decision | ezjev 4B s2 |
|---|---|---|
| Provider | Celeris | everettjf |
| Decision Index score | — | 47.0 |
| Calibration error (ECE) | — | 0.063 |
| Median latency (p50) | — | 36 ms |
| Cost per 1,000 decisions | $0.0080 | — |
| Parameters | — | 5B |
| 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 | other |
FAQ
Is Celeris-1 Decision or ezjev 4B s2 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 ezjev 4B s2?
No calibration difference between Celeris-1 Decision and ezjev 4B s2 is recorded yet.
Is Celeris-1 Decision or ezjev 4B s2 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.