GLiNER2.5-Decide vs Kev 0.8B r15
Kev 0.8B r15 is more accurate on the Jev Decision Index, Kev 0.8B r15 is better calibrated. Choose on whichever of accuracy, calibration and cost matters most for your decisions.
| Spec | GLiNER2.5-Decide | Kev 0.8B r15 |
|---|---|---|
| Provider | Fastino | Jared Palmer |
| Decision Index score | 10.1 | 16.3 |
| Calibration error (ECE) | 0.088 | 0.040 |
| Median latency (p50) | 23 ms | 45 ms |
| Cost per 1,000 decisions | — | — |
| Parameters | 486M | 870M |
| Open weights | Yes | Yes |
| Question types | Choice (one of N options), Score (ordered rubric), Yes / no, Extraction (typed spans) | Choice (one of N options), Score (ordered rubric), Yes / no |
| Mechanism | Span encoder (GLiNER family) | Decoder LM with a decision readout |
| License | apache-2.0 | apache-2.0 |
FAQ
Is GLiNER2.5-Decide or Kev 0.8B r15 more accurate?
Kev 0.8B r15 scores higher on the Jev Decision Index (16.3 vs 10.1).
Which is better calibrated, GLiNER2.5-Decide or Kev 0.8B r15?
Kev 0.8B r15 has the lower expected calibration error (0.040 vs 0.088), so its stated confidence is closer to how often it is right.
Is GLiNER2.5-Decide or Kev 0.8B r15 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.