amos-1-large vs Bekko System One v0 400M
amos-1-large and Bekko System One v0 400M have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | amos-1-large | Bekko System One v0 400M |
|---|---|---|
| Provider | Scira (mukaddamzaid) | hotchpotch |
| Decision Index score | — | 15.2 |
| Calibration error (ECE) | — | 0.111 |
| Median latency (p50) | — | 17 ms |
| Cost per 1,000 decisions | — | — |
| Parameters | — | 400M |
| 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 | Encoder classifier |
| License | apache-2.0 | — |
FAQ
Is amos-1-large or Bekko System One v0 400M 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 Bekko System One v0 400M?
No calibration difference between amos-1-large and Bekko System One v0 400M is recorded yet.
Is amos-1-large or Bekko System One v0 400M 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.