Kev 4B r10 vs Nace.AI: Drex Max
Kev 4B r10 is cheaper per 1,000 decisions. Choose on whichever of accuracy, calibration and cost matters most for your decisions.
| Spec | Kev 4B r10 | Nace.AI: Drex Max |
|---|---|---|
| Provider | Jared Palmer | Nace.AI |
| Decision Index score | 34.9 | — |
| Calibration error (ECE) | 0.032 | — |
| Median latency (p50) | 59 ms | — |
| Cost per 1,000 decisions | $0.0084 | $0.012 |
| Parameters | 5B | — |
| 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 Kev 4B r10 or Nace.AI: Drex Max 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, Kev 4B r10 or Nace.AI: Drex Max?
No calibration difference between Kev 4B r10 and Nace.AI: Drex Max is recorded yet.
Is Kev 4B r10 or Nace.AI: Drex Max cheaper per 1,000 decisions?
Kev 4B r10 is cheaper: about $0.0084 vs $0.012 per 1,000 decisions at 200 input tokens each.
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.