ParseBench - Visual Grounding: leaderboard

LlamaIndex's ParseBench scores document parsing of human-verified enterprise pages from insurance, finance and government documents with rule-based checks; VLM rows only, parser products excluded. This board reports the Visual Grounding dimension: element pass rate for tracing extracted elements to their location on the page. Models that emit no layout boxes (upstream score exactly 0) are omitted.

Metric: Element Pass Rate. Source: parsebench.ai. Saturation forecast: Around October 2028. 112 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)70.85#66
2Gemini 3.8 Flash (High)69.03#30 (Gemini 3.8 Flash)
3Gemini 3.8 Flash (Low)67.81#30 (Gemini 3.8 Flash)
4Gemini 3.8 Flash (Medium)66.79#30 (Gemini 3.8 Flash)
5Gemini 3.7 Flash (High)66.4#24 (Gemini 3.7 Flash)
6Gemini 3.7 Flash (Low)66.31#24 (Gemini 3.7 Flash)
7Gemini 3.1 Pro (Preview) (Low)64.69#66 (Gemini 3.1 Pro (Preview))
8Gemini 3.7 Flash (Medium)64.39#24 (Gemini 3.7 Flash)
9Gemini 3.5 Flash (High)63.95#68 (Gemini 3.5 Flash)
10Claude Fable 5.163.81#10
11Gemini 3.6 Flash (Minimal)62.72#59 (Gemini 3.6 Flash)
12Gemini 3.6 Flash (Medium)62.5#59 (Gemini 3.6 Flash)
13Gemini 3 Flash (High)62.37#105 (Gemini 3 Flash)
14Gemini 3 Flash (Medium)61.53#105 (Gemini 3 Flash)
15Gemini 3.5 Flash (Medium)61.15#68 (Gemini 3.5 Flash)

No result here: #9 Gemini 4 Argon.

Interactive version: theaggregate.ai/benchmark?slug=parsebench-visual-grounding · How It Works · Data refreshed daily, snapshot 2026-11-07.