AJev lora1 (Gemma 4 26B-A4B) vs Nace.AI: Drex Max
AJev lora1 (Gemma 4 26B-A4B) and Nace.AI: Drex Max have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | AJev lora1 (Gemma 4 26B-A4B) | Nace.AI: Drex Max |
|---|---|---|
| Provider | andyzhang232 | Nace.AI |
| Decision Index score | 55.3 | — |
| Calibration error (ECE) | 0.048 | — |
| Median latency (p50) | 89 ms | — |
| Cost per 1,000 decisions | — | $0.012 |
| Parameters | 26B | — |
| 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 AJev lora1 (Gemma 4 26B-A4B) 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, AJev lora1 (Gemma 4 26B-A4B) or Nace.AI: Drex Max?
No calibration difference between AJev lora1 (Gemma 4 26B-A4B) and Nace.AI: Drex Max is recorded yet.
Is AJev lora1 (Gemma 4 26B-A4B) 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.