Perplexity: Decider Latest vs Sieve-31B
Perplexity: Decider Latest and Sieve-31B have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | Perplexity: Decider Latest | Sieve-31B |
|---|---|---|
| Provider | Perplexity | Sthānika AI |
| Decision Index score | — | 64.3 |
| Calibration error (ECE) | — | 0.033 |
| Median latency (p50) | — | 253 ms |
| Cost per 1,000 decisions | $0.0040 | — |
| Parameters | — | 31B |
| Open weights | — | Yes |
| Question types | — | Choice (one of N options), Score (ordered rubric), Yes / no |
| Mechanism | — | Decoder LM with a decision readout |
| License | — | apache-2.0 |
FAQ
Is Perplexity: Decider Latest or Sieve-31B 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, Perplexity: Decider Latest or Sieve-31B?
No calibration difference between Perplexity: Decider Latest and Sieve-31B is recorded yet.
Is Perplexity: Decider Latest or Sieve-31B 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.