LFM2.5-2.6B-RLCD vs Nace.AI: Drex Max
LFM2.5-2.6B-RLCD and Nace.AI: Drex Max have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | LFM2.5-2.6B-RLCD | Nace.AI: Drex Max |
|---|---|---|
| Provider | monotykamary | Nace.AI |
| Decision Index score | 8.2 | — |
| Calibration error (ECE) | 0.255 | — |
| Median latency (p50) | 39 ms | — |
| Cost per 1,000 decisions | — | $0.012 |
| Parameters | 3B | — |
| Open weights | Yes | — |
| Question types | Choice (one of N options), Score (ordered rubric), Yes / no | — |
| Mechanism | Decoder LM with a decision readout | — |
| License | lfm1.0 | — |
FAQ
Is LFM2.5-2.6B-RLCD 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, LFM2.5-2.6B-RLCD or Nace.AI: Drex Max?
No calibration difference between LFM2.5-2.6B-RLCD and Nace.AI: Drex Max is recorded yet.
Is LFM2.5-2.6B-RLCD or Nace.AI: Drex Max 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.