amos-1-large vs Kev 4B r10
amos-1-large and Kev 4B r10 have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | amos-1-large | Kev 4B r10 |
|---|---|---|
| Provider | Scira (mukaddamzaid) | Jared Palmer |
| Decision Index score | — | 39.5 |
| Calibration error (ECE) | — | 0.032 |
| Median latency (p50) | — | 59 ms |
| Cost per 1,000 decisions | — | $0.0084 |
| Parameters | — | 5B |
| Open weights | Yes | Yes |
| Question types | Choice (one of N options), Score (ordered rubric), Yes / no | Choice (one of N options), Score (ordered rubric), Yes / no |
| Mechanism | Decoder LM with a decision readout | Decoder LM with a decision readout |
| License | apache-2.0 | apache-2.0 |
FAQ
Is amos-1-large or Kev 4B r10 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, amos-1-large or Kev 4B r10?
No calibration difference between amos-1-large and Kev 4B r10 is recorded yet.
Is amos-1-large or Kev 4B r10 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.