Lev1 3.7B vs Perplexity: Decider Latest
Lev1 3.7B and Perplexity: Decider Latest have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | Lev1 3.7B | Perplexity: Decider Latest |
|---|---|---|
| Provider | theaviv | Perplexity |
| Decision Index score | 35.4 | — |
| Calibration error (ECE) | 0.058 | — |
| Median latency (p50) | 29 ms | — |
| Cost per 1,000 decisions | — | $0.0040 |
| Parameters | 4B | — |
| 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 Lev1 3.7B or Perplexity: Decider Latest 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, Lev1 3.7B or Perplexity: Decider Latest?
No calibration difference between Lev1 3.7B and Perplexity: Decider Latest is recorded yet.
Is Lev1 3.7B or Perplexity: Decider Latest 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.