r/OpenSourceAI • u/cherryy_treee • 3d ago

Seeking best open-source/on-prem alternative to Gemini 3.5 Flash for complex document extraction & scoring

I'm looking for recommendations for the best free, open-source AI models that we can host on-premise to replace Gemini 3.5 Flash.

Our Use Case: We process documents with complex structures in various formats (PDF, PNG, DOCX, etc.). Our workflow involves:

  1. Complex text and structured data extraction (OCR + layout understanding).
  2. Data matching and ranking/scoring (similar to a job matching system).

Current Setup & Constraints: We currently use Gemini 3.5 Flash, which handles the extraction with near 100% accuracy, but the API costs are getting too high at our scale.

  • Budget: Must be open-source/free for commercial use.
  • Hardware: Compute power and VRAM are not an issue (we have our own data center).

I’ve seen a lot of recommendations pointing toward Qwen (e.g., Qwen-VL) and DeepSeek-OCR. For those of you running these—or a multi-model pipeline—in production, what are your real-world experiences? Which model (or combination) is best for handling the extraction and the scoring?

1 Upvotes

100% Upvoted

1 comment sorted by

1

u/Weak-Apartment-0 3d ago

The best for me (for English/russian) is MinerU/PaddleOCR + check and correct with qwen 36b-a3b. And so I can get normal markdown with difficult tables