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Jared PalmerFastino LabsDecision matchup

Kev 0.8Bvs.GLiDE

Which model makes better decisions?

GLiDE does better in independent tests, while Kev 0.8B is available with open weights.

Independent tests
Kev 0.8B0 of 1
GLiDEahead1 of 1
Zero-shot IE benchmark
Popularity
Kev 0.8Bahead45
GLiDE0
out of 100
Weights and access
Kev 0.8Bopenopen, local
GLiDEproprietary
Released
Kev 0.8BSeptember 20, 2026
GLiDESeptember 30, 2026

Pick Kev 0.8B for

open weightsruns locallymore popular

Pick GLiDE for

Zero-shot IE benchmark

Shared tests

Independent evaluators and leaderboards only, the newest shared snapshot per evaluator. With 95 % ranges a lead counts when they do not overlap; for hit rates, when it holds in a 95 % test. Without any uncertainty figure at most “slightly ahead”.

Zero-shot IE benchmark

GLiDE ahead

Zero-shot IE spectrum: mixed-pool classification accuracy

Kev 0.8B72.9
GLiDE97.9

48 tasks, as of October 17, 2026

Source · latest October 17, 2026

All data side by side

Kev 0.8BGLiDE
KindAdapterStandalone
DeveloperJared PalmerFastino Labs
StatusOpen sourceActive
ReleasedSeptember 20, 2026September 30, 2026
Weightsopenproprietary
Runs locallyyesno
LicenseApache-2.0 for the adapter and headn/a
Popularity (out of 100)450