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Fastino LabsInternLMDecision matchup

GLiDEvs.Intern-Decision-2B

Which model makes better decisions?

GLiDE does better in independent tests, while Intern-Decision-2B is available with open weights.

Independent tests
GLiDEahead1 of 1
Intern-Decision-2B0 of 1
Zero-shot IE benchmark
Popularity
GLiDE0
Intern-Decision-2Bahead37
out of 100
Weights and access
GLiDEproprietary
Intern-Decision-2Bopenopen, local
Size
GLiDEn/a
Intern-Decision-2B2 B
Parameters

Pick GLiDE for

Zero-shot IE benchmark

Pick Intern-Decision-2B for

open weightsruns locallymore 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

GLiDE ahead

Zero-shot IE spectrum: mixed-pool classification accuracy

GLiDE97.9
Intern-Decision-2B81.3

48 tasks, as of October 17, 2026

Source · latest October 17, 2026

All data side by side

GLiDEIntern-Decision-2B
KindStandaloneStandalone
DeveloperFastino LabsInternLM
StatusActiveOpen source
ReleasedSeptember 30, 2026n/a
Weightsproprietaryopen
Runs locallynoyes
Parametersn/a2 B
Licensen/aApache-2.0 with the Qwen notices retained
Popularity (out of 100)037