Nace.AI: Drex Max vs typecastlm-qwen3.5-3.8b
Nace.AI: Drex Max and typecastlm-qwen3.5-3.8b have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | Nace.AI: Drex Max | typecastlm-qwen3.5-3.8b |
|---|---|---|
| Provider | Nace.AI | mihailgribov |
| Decision Index score | — | — |
| Calibration error (ECE) | — | — |
| Median latency (p50) | — | — |
| Cost per 1,000 decisions | $0.012 | — |
| Parameters | — | 4B |
| 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 Nace.AI: Drex Max or typecastlm-qwen3.5-3.8b 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, Nace.AI: Drex Max or typecastlm-qwen3.5-3.8b?
No calibration difference between Nace.AI: Drex Max and typecastlm-qwen3.5-3.8b is recorded yet.
Is Nace.AI: Drex Max or typecastlm-qwen3.5-3.8b 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.