A display-only Liquid AI extraction metric measuring field-name agreement between requested schema fields and extracted JSON fields.
BenchLM mirrors the published score view for Liquid Extract F1. LFM2.5-VL-1.6B-Extract leads the public snapshot at 99.6% , followed by LFM2.5-VL-450M-Extract (98.8%). BenchLM does not use these results to rank models overall.
LFM2.5-VL-1.6B-Extract
LiquidAI
LFM2.5-VL-450M-Extract
LiquidAI
Year
2026
Tasks
Image-to-JSON extraction
Format
Schema field F1
Difficulty
Structured visual extraction
Liquid reports Schema Consistency F1 as a macro-averaged set-level F1 over predicted versus requested field names. BenchLM keeps it separate from general OCR and VQA metrics.
Version
Liquid Extract F1 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A display-only Liquid AI extraction metric measuring field-name agreement between requested schema fields and extracted JSON fields.
LFM2.5-VL-1.6B-Extract by LiquidAI currently leads with a score of 99.6% on Liquid Extract F1.
2 AI models have been evaluated on Liquid Extract F1 on BenchLM.
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