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MapikaFastino LabsDecision matchup

Decider 0.8Bvs.GLiDE

Which model makes better decisions?

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

Independent tests
Decider 0.8B0 of 1
GLiDEahead1 of 1
Zero-shot IE benchmark
Popularity
Decider 0.8Bahead39
GLiDE0
out of 100
Weights and access
Decider 0.8Bopenopen, local
GLiDEproprietary
Size
Decider 0.8B0.8 B
GLiDEn/a
Parameters

Pick Decider 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

Decider 0.8B83.3
GLiDE97.9

48 tasks, as of October 17, 2026

Source · latest October 17, 2026

All data side by side

Decider 0.8BGLiDE
KindStandaloneStandalone
DeveloperMapikaFastino Labs
StatusOpen sourceActive
Releasedn/aSeptember 30, 2026
Weightsopenproprietary
Runs locallyyesno
Parameters0.8 Bn/a
LicenseApache-2.0n/a
Popularity (out of 100)390

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