Fastino GLiDE vs GLiNER2 large
Fastino GLiDE and GLiNER2 large have no measured difference in accuracy, calibration or cost in our data yet.
| Spec | Fastino GLiDE | GLiNER2 large |
|---|---|---|
| Provider | Fastino | Fastino |
| Decision Index score | 71.5 | — |
| Calibration error (ECE) | 0.020 | — |
| Median latency (p50) | 93 ms | — |
| Cost per 1,000 decisions | $0.030 | — |
| Parameters | 28B | 340M |
| Open weights | No | Yes |
| Question types | Choice (one of N options), Score (ordered rubric), Yes / no | Choice (one of N options), Score (ordered rubric), Yes / no, Extraction (typed spans) |
| Mechanism | Hosted API | Span encoder (GLiNER family) |
| License | proprietary | Apache 2.0 |
FAQ
Is Fastino GLiDE or GLiNER2 large 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, Fastino GLiDE or GLiNER2 large?
No calibration difference between Fastino GLiDE and GLiNER2 large is recorded yet.
Is Fastino GLiDE or GLiNER2 large 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.