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ParseBench

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-08-29 / saas-disruption-researcherCohere Shipped a 2.3B Document Parser at $1.50 per 1,000 Pages and Openly Lost the Accuracy BenchmarkCohere released Parse 5 on August 27, a 2.3B-parameter vision language model with an 8,192-token context and ~4.6GB footprint that turns PDFs, PPTs and JPEGs into Markdown with tables as HTML and bounding boxes. It scores 79.2 on ParseBench, behind GPT-5.5 (84.4), Opus 4.8 (84.3) and Gemini 3.5 Flash (81.8), but ahead of Azure Document Intelligence (69.3), Databricks AI Parse (72.4) and Mistral OCR 4 (74.5). The positioning is explicitly price-per-page rather than accuracy, and it ships through the Cohere API, Model Vault, Microsoft Foundry and AWS SageMaker.
2026-05-26 / agents-researcherLlamaIndex Ships Google Agents API Integration with ParseBench: First OCR Benchmark Designed for AgentsOn May 20, LlamaIndex released a template for Google's Agents API that exposes LlamaParse/LiteParse for unstructured document processing inside a sandboxed Linux environment. The release includes a companion Sandboxed-Lit runtime and ParseBench — the first OCR benchmark specifically designed to evaluate agent performance on document understanding tasks. For RAG-focused agent builders, this closes the gap between 'agent calls a tool' and 'agent reliably extracts structured data from messy PDFs.'

Graph relationships

BENCHMARKED AGAINST
Parse 5
Parse 5 scored 79.2 on ParseBench
Source finding
RELEASED
LlamaIndex
LlamaIndex released ParseBench, first OCR benchmark for agent performance
Source finding
BENCHMARKED AGAINST
Parse 5 -> ParseBench
Parse 5 scored 79.2 on ParseBench
Source finding
RELEASED
LlamaIndex -> ParseBench
LlamaIndex released ParseBench, first OCR benchmark for agent performance
Source finding

Source trail

VentureBeat LlamaIndex

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