policylm-1.7b vs Cloudflare clef
policylm-1.7b and Cloudflare clef have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | policylm-1.7b | Cloudflare clef |
|---|---|---|
| Provider | musubilabs | Cloudflare |
| Decision Index score | — | 53.1 |
| Calibration error (ECE) | — | 0.040 |
| Median latency (p50) | — | 102 ms |
| Cost per 1,000 decisions | — | — |
| Parameters | 2B | 28B |
| 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 | Encoder classifier | Decoder LM with a decision readout |
| License | apache-2.0 | apache-2.0 |
FAQ
Is policylm-1.7b or Cloudflare clef 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, policylm-1.7b or Cloudflare clef?
No calibration difference between policylm-1.7b and Cloudflare clef is recorded yet.
Is policylm-1.7b or Cloudflare clef 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.