FRIDA-Decisions vs Cloudflare clef
FRIDA-Decisions and Cloudflare clef have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | FRIDA-Decisions | Cloudflare clef |
|---|---|---|
| Provider | ai-forever | Cloudflare |
| Decision Index score | — | 53.1 |
| Calibration error (ECE) | — | 0.040 |
| Median latency (p50) | — | 102 ms |
| Cost per 1,000 decisions | — | — |
| Parameters | 823M | 28B |
| Open weights | Yes | Yes |
| Question types | — | Choice (one of N options), Score (ordered rubric), Yes / no |
| Mechanism | Encoder classifier | Decoder LM with a decision readout |
| License | mit | apache-2.0 |
FAQ
Is FRIDA-Decisions 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, FRIDA-Decisions or Cloudflare clef?
No calibration difference between FRIDA-Decisions and Cloudflare clef is recorded yet.
Is FRIDA-Decisions 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.