alpha-sys-1-1.6B vs alpha-sys-1-3B
alpha-sys-1-1.6B and alpha-sys-1-3B have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | alpha-sys-1-1.6B | alpha-sys-1-3B |
|---|---|---|
| Provider | nullsilver | nullsilver |
| Decision Index score | — | — |
| Calibration error (ECE) | — | — |
| Median latency (p50) | — | — |
| Cost per 1,000 decisions | — | — |
| Parameters | 2B | 3B |
| Open weights | Yes | Yes |
| Question types | — | — |
| Mechanism | — | — |
| License | — | — |
FAQ
Is alpha-sys-1-1.6B or alpha-sys-1-3B 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, alpha-sys-1-1.6B or alpha-sys-1-3B?
No calibration difference between alpha-sys-1-1.6B and alpha-sys-1-3B is recorded yet.
Is alpha-sys-1-1.6B or alpha-sys-1-3B 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.