amos-1-medium vs mmastrac diffusiongemma (vLLM PR 57250)
amos-1-medium and mmastrac diffusiongemma (vLLM PR 57250) have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | amos-1-medium | mmastrac diffusiongemma (vLLM PR 57250) |
|---|---|---|
| Provider | Scira (mukaddamzaid) | mmastrac |
| Decision Index score | — | 36.3 |
| Calibration error (ECE) | — | 0.202 |
| Median latency (p50) | — | 127 ms |
| Cost per 1,000 decisions | — | — |
| Parameters | — | 26B |
| Open weights | Yes | Yes |
| Question types | Choice (one of N options), Score (ordered rubric), Yes / no | Choice (one of N options), Score (ordered rubric), Yes / no |
| Mechanism | Decoder LM with a decision readout | Diffusion LM |
| License | apache-2.0 | — |
FAQ
Is amos-1-medium or mmastrac diffusiongemma (vLLM PR 57250) 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, amos-1-medium or mmastrac diffusiongemma (vLLM PR 57250)?
No calibration difference between amos-1-medium and mmastrac diffusiongemma (vLLM PR 57250) is recorded yet.
Is amos-1-medium or mmastrac diffusiongemma (vLLM PR 57250) 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.