arbiter-272m vs arbiter-272m-typed
arbiter-272m and arbiter-272m-typed have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | arbiter-272m | arbiter-272m-typed |
|---|---|---|
| Provider | spectral-ai-lab | spectral-ai-lab |
| Decision Index score | — | — |
| Calibration error (ECE) | — | — |
| Median latency (p50) | — | — |
| Cost per 1,000 decisions | — | — |
| Parameters | 272M | 272M |
| Open weights | Yes | Yes |
| Question types | — | — |
| Mechanism | — | — |
| License | — | — |
FAQ
Is arbiter-272m or arbiter-272m-typed 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, arbiter-272m or arbiter-272m-typed?
No calibration difference between arbiter-272m and arbiter-272m-typed is recorded yet.
Is arbiter-272m or arbiter-272m-typed 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.