Fastino GLiDE vs Lychee-27B
Fastino GLiDE is more accurate on the Jev Decision Index, Fastino GLiDE is better calibrated. Choose on whichever of accuracy, calibration and cost matters most for your decisions.
| Spec | Fastino GLiDE | Lychee-27B |
|---|---|---|
| Provider | Fastino | LycheeAI |
| Decision Index score | 71.5 | 67.3 |
| Calibration error (ECE) | 0.020 | 0.108 |
| Median latency (p50) | 93 ms | 97 ms |
| Cost per 1,000 decisions | $0.030 | — |
| Parameters | 28B | 26B |
| 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 |
| Mechanism | Hosted API | Decoder LM with a decision readout |
| License | proprietary | cc-by-nc-4.0 |
FAQ
Is Fastino GLiDE or Lychee-27B more accurate?
Fastino GLiDE scores higher on the Jev Decision Index (71.5 vs 67.3).
Which is better calibrated, Fastino GLiDE or Lychee-27B?
Fastino GLiDE has the lower expected calibration error (0.020 vs 0.108), so its stated confidence is closer to how often it is right.
Is Fastino GLiDE or Lychee-27B 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.