Fastino LabsDecision matchup

GLiNER2.5-Decide-1Bvs.GLiNER2.5-multi-Decide

Which model makes better decisions?

GLiNER2.5-Decide-1B does better in independent tests, while GLiNER2.5-multi-Decide is much smaller.

Independent tests

GLiNER2.5-Decide-1Bahead1 of 1

GLiNER2.5-multi-Decide0 of 1

BKS-Lab lab-bench route1 score table

Popularity

GLiNER2.5-Decide-1B34

GLiNER2.5-multi-Decideahead45

out of 100

Weights and access

GLiNER2.5-Decide-1Bopen, local

GLiNER2.5-multi-Decideopen, local

Size

GLiNER2.5-Decide-1B1 B

GLiNER2.5-multi-Decidesmaller0.29 B

Parameters

Pick GLiNER2.5-Decide-1B for

BKS-Lab lab-bench route1 score table

Pick GLiNER2.5-multi-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”.

BKS-Lab lab-bench route1 score table

GLiNER2.5-Decide-1B ahead

GLiNER2.5-Decide-1B is clearly ahead in 8 of 32 subtests and slightly in 10, GLiNER2.5-multi-Decide in 4 clearly and slightly in 6. 4 are level.

MASSIVE 1.1 test, scenario classification, de, prompt mode, accuracy

GLiNER2.5-Decide-1B41.1 %

GLiNER2.5-multi-Decide48.5 %

2,974 tasks, as of October 24, 2026

MASSIVE 1.1 test, scenario classification, de, intext mode, accuracy

GLiNER2.5-Decide-1B40.2 %

GLiNER2.5-multi-Decide46.7 %

2,974 tasks, as of October 24, 2026

MASSIVE 1.1 test, intent classification, 2+ options, de, intext mode, accuracy

GLiNER2.5-Decide-1B51.0 %

GLiNER2.5-multi-Decide58.4 %

2,622 tasks, as of October 24, 2026

Show all 32 subtests

Subtest	GLiNER2.5-Decide-1B	GLiNER2.5-multi-Decide	Verdict
MASSIVE 1.1 test, scenario classification, de, prompt mode, accuracy	41.1 %	48.5 %	GLiNER2.5-multi-Decide ahead
MASSIVE 1.1 test, scenario classification, de, intext mode, accuracy	40.2 %	46.7 %	GLiNER2.5-multi-Decide ahead
MASSIVE 1.1 test, intent classification, 2+ options, de, intext mode, accuracy	51.0 %	58.4 %	GLiNER2.5-multi-Decide ahead
MASSIVE 1.1 test, intent classification, 2+ options, en, prompt mode, accuracy	72.4 %	63.7 %	GLiNER2.5-Decide-1B ahead
MASSIVE 1.1 test, intent classification (gold-scenario oracle), de, intext mode, accuracy	56.8 %	63.3 %	GLiNER2.5-multi-Decide ahead
MASSIVE 1.1 test, intent classification (gold-scenario oracle), en, prompt mode, accuracy	75.7 %	68.0 %	GLiNER2.5-Decide-1B ahead
Fast-Decisions dev, tasks with 26 or fewer options, en, intext mode, accuracy	64.4 %	58.0 %	GLiNER2.5-Decide-1B ahead
Fast-Decisions dev, all single-label tasks, en, intext mode, accuracy	64.6 %	58.2 %	GLiNER2.5-Decide-1B ahead
Fast-Decisions dev, tasks with 26 or fewer options, en, prompt mode, accuracy	63.4 %	57.7 %	GLiNER2.5-Decide-1B ahead
Fast-Decisions dev, all single-label tasks, en, prompt mode, accuracy	63.5 %	58.0 %	GLiNER2.5-Decide-1B ahead
MASSIVE 1.1 test, intent classification, 2+ options, en, intext mode, accuracy	67.4 %	64.1 %	GLiNER2.5-Decide-1B ahead
MASSIVE 1.1 test, intent classification (gold-scenario oracle), en, intext mode, accuracy	71.2 %	68.3 %	GLiNER2.5-Decide-1B ahead
MASSIVE 1.1 test, intent classification, 2+ options, de, intext mode, macro-F1	43.4 %	52.9 %	GLiNER2.5-multi-Decide slightly ahead
MASSIVE 1.1 test, intent classification (gold-scenario oracle), de, intext mode, macro-F1	46.3 %	55.3 %	GLiNER2.5-multi-Decide slightly ahead
MASSIVE 1.1 test, scenario classification, de, intext mode, macro-F1	39.7 %	46.9 %	GLiNER2.5-multi-Decide slightly ahead
MASSIVE 1.1 test, intent classification, 2+ options, en, prompt mode, macro-F1	70.6 %	60.2 %	GLiNER2.5-Decide-1B slightly ahead
MASSIVE 1.1 test, intent classification (gold-scenario oracle), en, prompt mode, macro-F1	72.1 %	62.2 %	GLiNER2.5-Decide-1B slightly ahead
MASSIVE 1.1 test, scenario classification, en, prompt mode, macro-F1	56.8 %	50.3 %	GLiNER2.5-Decide-1B slightly ahead
MASSIVE 1.1 test, scenario classification, de, prompt mode, macro-F1	41.1 %	46.4 %	GLiNER2.5-multi-Decide slightly ahead
Fast-Decisions dev, tasks with 26 or fewer options, en, intext mode, macro-F1	60.4 %	54.3 %	GLiNER2.5-Decide-1B slightly ahead
Fast-Decisions dev, all single-label tasks, en, intext mode, macro-F1	61.1 %	55.1 %	GLiNER2.5-Decide-1B slightly ahead
MASSIVE 1.1 test, scenario classification, en, intext mode, macro-F1	56.6 %	51.1 %	GLiNER2.5-Decide-1B slightly ahead
Fast-Decisions dev, tasks with 26 or fewer options, en, prompt mode, macro-F1	59.1 %	53.4 %	GLiNER2.5-Decide-1B slightly ahead
MASSIVE 1.1 test, intent classification, 2+ options, de, prompt mode, macro-F1	50.7 %	54.9 %	GLiNER2.5-multi-Decide slightly ahead
Fast-Decisions dev, all single-label tasks, en, prompt mode, macro-F1	58.8 %	54.4 %	GLiNER2.5-Decide-1B slightly ahead
MASSIVE 1.1 test, intent classification (gold-scenario oracle), de, prompt mode, macro-F1	53.2 %	57.2 %	GLiNER2.5-multi-Decide slightly ahead
MASSIVE 1.1 test, intent classification, 2+ options, en, intext mode, macro-F1	65.3 %	62.0 %	GLiNER2.5-Decide-1B slightly ahead
MASSIVE 1.1 test, intent classification (gold-scenario oracle), en, intext mode, macro-F1	67.1 %	63.9 %	GLiNER2.5-Decide-1B slightly ahead
MASSIVE 1.1 test, intent classification, 2+ options, de, prompt mode, accuracy	56.4 %	58.9 %	level
MASSIVE 1.1 test, scenario classification, en, intext mode, accuracy	52.3 %	50.1 %	level
MASSIVE 1.1 test, intent classification (gold-scenario oracle), de, prompt mode, accuracy	61.6 %	63.8 %	level
MASSIVE 1.1 test, scenario classification, en, prompt mode, accuracy	53.3 %	52.0 %	level

Source · latest October 24, 2026

All data side by side

	GLiNER2.5-Decide-1B	GLiNER2.5-multi-Decide
Kind	Classifier	Classifier
Developer	Fastino Labs	Fastino Labs
Status	Open source	Open source
Weights	open	open
Runs locally	yes	yes
Parameters	1 B	0.29 B
License	Apache-2.0	Apache-2.0
Popularity (out of 100)	34	45

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