Baseten: Mammoth 1 (free) vs decisio 0.4.0 (Gemma 4 12B)
Baseten: Mammoth 1 (free) and decisio 0.4.0 (Gemma 4 12B) have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | Baseten: Mammoth 1 (free) | decisio 0.4.0 (Gemma 4 12B) |
|---|---|---|
| Provider | Baseten | aminry |
| Decision Index score | — | 48.8 |
| Calibration error (ECE) | — | 0.103 |
| Median latency (p50) | — | 38 ms |
| Cost per 1,000 decisions | Free | — |
| Parameters | — | 12B |
| Open weights | — | Yes |
| Question types | — | Choice (one of N options), Score (ordered rubric), Yes / no |
| Mechanism | — | Decoder LM with a decision readout |
| License | — | — |
FAQ
Is Baseten: Mammoth 1 (free) or decisio 0.4.0 (Gemma 4 12B) 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, Baseten: Mammoth 1 (free) or decisio 0.4.0 (Gemma 4 12B)?
No calibration difference between Baseten: Mammoth 1 (free) and decisio 0.4.0 (Gemma 4 12B) is recorded yet.
Is Baseten: Mammoth 1 (free) or decisio 0.4.0 (Gemma 4 12B) 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.