LlamaIndex releases ExtractBenchPro, a harder document extraction benchmark
Overview
LlamaIndex releases ExtractBenchPro, a document extraction benchmark built from complex real-world documents such as trial balances, well logs and loss runs.
The benchmark is available on a website and technical blog, and on GitHub and Hugging Face. Its headline metric is the share of documents with a perfect 100% value F1 score. Jerry Liu, LlamaIndex's founder, says the best frontier model, Codex with Astra, reaches about 58% value F1 at nearly $1 per page, while LlamaIndex's agentic parsing modes score 20–40% at prices he calls feasible for full production use.
Written by AI from the articles below · updated Oct 15, 12:45 PM ET
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Jerry Liu@jerryjliu0XLlamaIndex launches ExtractBenchPro, a harder document extraction benchmarkAILlamaIndex releases ExtractBenchPro, a document extraction benchmark built from complex real-world use cases such as trial balances, well logs, and loss runs. Its headline metric is the share of documents with a perfect 100% value F1 score, and the best frontier model, Codex with Astra, reaches about 58% Value F1 at nearly $1 per page. LlamaIndex's agentic parsing modes score 20–40% at prices it says are feasible for full production use.

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