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MapikaFastino LabsDecision matchup

Decider 0.8Bvs.GLiNER2.5-Decide

Which model makes better decisions?

Decider 0.8B and GLiNER2.5-Decide perform about the same in independent tests.

Independent tests
Decider 0.8B0 of 1
GLiNER2.5-Decide0 of 1
Zero-shot IE benchmark
Popularity
Decider 0.8B39
GLiNER2.5-Decideahead56
out of 100
Weights and access
Decider 0.8Bopen, local
GLiNER2.5-Decideopen, local
Size
Decider 0.8B0.8 B
GLiNER2.5-Decidesmaller0.34 B
Parameters

Pick Decider 0.8B for

No clear edge

Pick GLiNER2.5-Decide for

smallermore popular

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

level

Decider 0.8B is clearly ahead in 0 of 4 subtests, GLiNER2.5-Decide in none. 4 are level.

Zero-shot IE multilingual: rare-language tier accuracy

Decider 0.8B50.0 %
GLiNER2.5-Decide33.0 %

18 tasks, as of October 17, 2026

Zero-shot IE multilingual: medium-resource-language tier accuracy

Decider 0.8B100.0 %
GLiNER2.5-Decide83.0 %

18 tasks, as of October 17, 2026

Zero-shot IE multilingual: popular-language tier accuracy

Decider 0.8B100.0 %
GLiNER2.5-Decide89.0 %

18 tasks, as of October 17, 2026

Show all 4 subtests
SubtestDecider 0.8BGLiNER2.5-DecideVerdict
Zero-shot IE multilingual: rare-language tier accuracy50.0 %33.0 %level
Zero-shot IE multilingual: medium-resource-language tier accuracy100.0 %83.0 %level
Zero-shot IE multilingual: popular-language tier accuracy100.0 %89.0 %level
Zero-shot IE spectrum: mixed-pool classification accuracy83.385.4level

Source · latest October 17, 2026

All data side by side

Decider 0.8BGLiNER2.5-Decide
KindStandaloneClassifier
DeveloperMapikaFastino Labs
StatusOpen sourceOpen source
Weightsopenopen
Runs locallyyesyes
Parameters0.8 B0.34 B
LicenseApache-2.0Apache-2.0
Popularity (out of 100)3956