Liquid image-to-JSON extraction JSON validity (Liquid Extract JSON Validity)
We show this table for reference; we do not rank on it.
A display-only Liquid AI extraction metric measuring the share of image-to-JSON outputs that parse as strict JSON.
Benchmark score on Liquid Extract JSON Validity — November 13, 2026
We compile the Liquid Extract JSON Validity rows from provider self-reports. LFM2.5-VL-1.6B-Extract leads the table at 99.6%, followed by LFM2.5-VL-450M-Extract (98.9%). We do not use these results to rank models overall.
LFM2.5-VL-1.6B-Extract
LiquidAI
Reported by LiquidAILFM2.5-VL-450M-Extract
LiquidAI
Reported by LiquidAI2 modelsMultimodal & GroundedCurrentDisplay onlyUpdated November 13, 2026
Benchmark score table (2 models)
All 2 results on this page were reported by the labs that built the models.
| Rank | Model / configuration | Score | Who ran it | Parameters (B) | Open / closed |
|---|---|---|---|---|---|
| 1 | LFM2.5-VL-1.6B-ExtractLiquidAIReported by LiquidAI | 99.6% | Reported by LiquidAI | Not reported | Open |
| 2 | LFM2.5-VL-450M-ExtractLiquidAIReported by LiquidAI | 98.9% | Reported by LiquidAI | Not reported | Open |
- Lab-reported
- Benchmark-run
- Independent
About Liquid Extract JSON Validity
Year
2026
Tasks
Image-to-JSON extraction
Format
Strict JSON parseability rate
Difficulty
Structured visual extraction
Liquid evaluates Extract models on 2,000 image, schema, and JSON triples. BenchLM stores JSON Validity as a specialized display-only extraction signal rather than a weighted multimodal benchmark.
Freshness and provenance
Version
Liquid Extract JSON Validity 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.
Questions
What does Liquid Extract JSON Validity measure?
A display-only Liquid AI extraction metric measuring the share of image-to-JSON outputs that parse as strict JSON.
Which model scores highest on Liquid Extract JSON Validity?
LFM2.5-VL-1.6B-Extract by LiquidAI currently leads with a score of 99.6% on Liquid Extract JSON Validity.
How many models are evaluated on Liquid Extract JSON Validity?
2 AI models have published results on Liquid Extract JSON Validity in the BenchLM catalog.
Compare top models on Liquid Extract JSON Validity
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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