This reporting page focuses on document workflows: OCR, office artifacts, long documents, and enterprise-style grounded reasoning over PDFs, slides, tables, and screenshots.
This page ranks models using only sourced document AI and OCR benchmarks in the reporting family.
Bottom line: Document AI benchmarks (OfficeQA Pro, OmniDocBench, CC-OCR) are newer and coverage is still building. Check the multimodal leaderboard for broader document understanding.
According to BenchLM.ai, Qwen3.6-35B-A3B leads this ranking with a score of 86.5, followed by Qwen3.6-27B (82.2) and MiniMax M3 (68.4). There is a significant gap between the leading models and the rest of the field.
All models in this ranking are open-weight, meaning they can be self-hosted for maximum control and cost efficiency.
This ranking is based on provisional overall weighted scores across BenchLM.ai's scoring formula tracked by BenchLM.ai. For detailed model profiles, click any model name below. To compare two specific models head-to-head, use the "vs #" links.
Qwen3.6-35B-A3B
Alibaba · 262K
Qwen3.6-27B
Alibaba · 262K
MiniMax M3
MiniMax · 1M
Get notified when models move. One email a week with what changed and why.
Free. No spam. Unsubscribe anytime.
The top model on this sourced reporting-family slice is Qwen3.6-35B-A3B by Alibaba with an average of 86.5.
The best open-weight model is Qwen3.6-35B-A3B at position #1.
3 models are listed with sourced benchmark coverage in this reporting family.
This is a reporting family ranking, not a weighted category. It averages sourced document AI and OCR benchmarks to give a focused view of this capability.
Models must have sourced results on at least a quarter of the benchmarks in this family to be included. Coverage varies — a model with 2 benchmark scores is less reliable than one with 5.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.