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Qwen3.8-27B leads as top open-source financial data extractor

By PulseAugur Editorial · [1 sources] ·

A recent analysis highlights Qwen3.8-27B as the top open-source model for extracting structured data from financial reports, particularly for complex schemas requiring judgment. NuExtract3 is identified as the best purpose-built model for this task, excelling in accurately identifying missing information. Smaller Qwen models like Qwen3.5-4B and Qwen3-4B-Instruct-2507 are recommended for high-volume, simpler data extraction needs. AI

IMPACT Identifies leading open-source models for financial data extraction, aiding developers in selecting tools for document analysis.

RANK_REASON The item ranks and compares open-source models for a specific task (structured data extraction from financial reports), including technical details and benchmarks. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Qwen3.8-27B leads as top open-source financial data extractor

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32 / 100
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Tool
The item ranks and compares open-source models for a specific task (structured data extraction from financial reports), including technical details and benchmarks. [lever_c_demoted from research: i…
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Kiell Tampubolon ·

    Best Open-Source Structured Data Extraction Models for Financial Reports

    <blockquote> <p><strong>Quick answer:</strong> Among open-weight models with a commercial licence and a size a single team can serve, Qwen3.8-27B is the strongest general extractor, and NuExtract3 is the best purpose-built one. Qwen3.5-4B and Qwen3-4B-Instruct-2507 cover stable, …

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