Celeris-1 Decision vs Vansa-3.4
Vansa-3.4 is cheaper per 1,000 decisions. Choose on whichever of accuracy, calibration and cost matters most for your decisions.
| Spec | Celeris-1 Decision | Vansa-3.4 |
|---|---|---|
| Provider | Celeris | Vansa |
| Decision Index score | — | — |
| Calibration error (ECE) | — | — |
| Median latency (p50) | — | — |
| Cost per 1,000 decisions | $0.0080 | $0.0068 |
| 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 Vansa-3.4 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 Vansa-3.4?
No calibration difference between Celeris-1 Decision and Vansa-3.4 is recorded yet.
Is Celeris-1 Decision or Vansa-3.4 cheaper per 1,000 decisions?
Vansa-3.4 is cheaper: about $0.0068 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.