ParseBench - Semantic Formatting: 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 Semantic Formatting dimension: preservation of meaning-bearing strikethrough, superscript/subscript, bold and title hierarchy.

Metric: Semantic Formatting Score. Source: parsebench.ai. Saturation forecast: Around January 2028. 121 models tracked.

Top models

#ModelScoreOverall rank
1GLM-5.3 Flash79.02#79
2Gemini 3.5 Flash (High)77.87#68 (Gemini 3.5 Flash)
3GPT-5.6 Sol (High)77.16#22 (GPT-5.6 Sol)
4Claude Opus 5.5 (High)77.06#3 (Claude Opus 5.5)
5Claude Opus 5.577.05#3
6Claude Fable 5.176.02#10
7Gemini 3.8 Flash (High)75.91#30 (Gemini 3.8 Flash)
8GPT-6 Astra (Low)75.52#5 (GPT-6 Astra)
9Claude Opus 5.5 (Low)75.23#3 (Claude Opus 5.5)
10Gemini 3.7 Flash (High)74.98#24 (Gemini 3.7 Flash)
11GPT-6.1 Sol (Low)74.78#6 (GPT-6.1 Sol)
12GPT-5.6 Sol (Non-reasoning)74.63#22 (GPT-5.6 Sol)
13DeepSeek V4.1 Flash (High)73.48#38 (DeepSeek V4.1 Flash)
14GPT-6.1 Terra (Medium)73.18#14 (GPT-6.1 Terra)
15Gemini 3.6 Flash (High)73.14#59 (Gemini 3.6 Flash)

No result here: #9 Gemini 4 Argon.

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