Mira-v1 vs Cloudflare clef-flash
Mira-v1 and Cloudflare clef-flash have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | Mira-v1 | Cloudflare clef-flash |
|---|---|---|
| Provider | sagea-ai | Cloudflare |
| Decision Index score | — | 47.6 |
| Calibration error (ECE) | — | 0.025 |
| Median latency (p50) | — | 53 ms |
| Cost per 1,000 decisions | — | — |
| Parameters | 140M | 10B |
| 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 Mira-v1 or Cloudflare clef-flash 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, Mira-v1 or Cloudflare clef-flash?
No calibration difference between Mira-v1 and Cloudflare clef-flash is recorded yet.
Is Mira-v1 or Cloudflare clef-flash 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.