Qwen 2.5 VL-32B and Mistral Small 3.1 CRUSH 4-o mini AND 4-o on PDF OCR Vision RAG

Qwen 2.5 VL-32B and Mistral Small 3.1 CRUSH 4-o mini AND 4-o on PDF OCR Vision RAG

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Qwen 2.5 VL-32B and Mistral Small 3.1 CRUSH 4-o mini AND 4-o on PDF OCR Vision RAG
# Ultimate Vision Language Model Showdown: PDF to HTML Conversion Challenge Sonnet: https://app.promptjudy.com/public-runs?runId=complex-ocr-prompt--1503547373-aws-bedrock%2Fus.anthropic.claude-3-5-sonnet-20241022-v2%3A0%232QpA4Wc9x6nALY9_4YHT3 Qwen: https://app.promptjudy.com/public-runs?runId=complex-ocr-prompt--1503547373-qwen%2Fqwen2.5-vl-32b-instruct%3Afree%23BjtBH0OmwcX_VbqMN0dQT Mistral: https://app.promptjudy.com/public-runs?runId=complex-ocr-prompt--1503547373-mistral-small-latest%235uTSt7T4w4pPQdV1N5zyL 4-o mini: https://app.promptjudy.com/public-runs?runId=complex-ocr-prompt--1503547373-gpt-4o-mini%23oNtE_OLi0mJ67dQnbYMR2 Test setup: https://youtu.be/ECJ3ivdKLq8?t=140 Results: https://youtu.be/ECJ3ivdKLq8?t=538 In this comprehensive benchmark test, we push the boundaries of what today's most advanced Vision Language Models can achieve when converting complex PDF documents into semantic HTML - a critical task for financial analysis and RAG applications. ## Models Tested: - **Commercial Models**: OpenAI's GPT-4o, GPT-4o-mini and O1, Anthropic's Claude 3.5 Sonnet, Google's Gemini 2.5 Pro - **Open-Source Challengers**: Mistral's latest mistral-small, Qwen's qwen2.5-72b-VL and qwen2.5-32b-VL ## The Challenge: Converting information-dense financial documents (including Apple, Google, NVIDIA, Toyota annual reports) into semantic HTML that preserves all information faithfully while remaining usable by text-only models for inference - without relying on absolute positioning. ## Key Findings: - Claude 3.5 Sonnet takes the top spot, but Qwen follows surprisingly close behind - OpenAI's models underperform significantly on this specific task - Open-source models from Qwen and Mistral show impressive capabilities, beating Gemini - Zero tolerance for hallucination - even a single wrong number resulted in a score of 0 Watch as we analyze these cutting-edge AI systems handling one of the most challenging VLM tasks: preserving complex tables, hierarchical rows, and financial data with 100% accuracy. The results might surprise you! #AIBenchmark #VisionLanguageModels #PDFtoHTML #AIComparison #OpenSourceAI #Claude #GPT4o #Qwen #Mistral #Gemini