| ORCA: Orchestrated Reasoning with Collaborative Agents for Document Visual Question Answering | | 0.972 | | ORCA (Qwen3VL-8B) | 2026-03-02 |
| Qwen3-VL Technical Report | ✓ Link | 0.971 | | Qwen3-VL-235B-A22B-Instruct | 2025-11-26 |
| Visual Document Understanding and Question Answering: A Multi-Agent Collaboration Framework with Test-Time Scaling | ✓ Link | 0.966 | | MACT Qwen2.5-VL Series 24B (Agent-Wise Adaptive TTS) (extra data) | 2025-08-05 |
| Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution | ✓ Link | 0.965 | | Qwen2-VL-72B | 2024-09-18 |
| MiniMax-01: Scaling Foundation Models with Lightning Attention | ✓ Link | 0.964 | | MiniMax-VL-01 | 2025-01-14 |
| Qwen2.5-VL Technical Report | ✓ Link | 0.964 | | Qwen2.5-VL-72B | 2025-02-19 |
| ORCA: Orchestrated Reasoning with Collaborative Agents for Document Visual Question Answering | | 0.964 | | ORCA (Qwen2.5-VL-7B) | 2026-03-02 |
| Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders | ✓ Link | 0.961 | | Penguin-VL 8B | 2026-03-06 |
| ORCA: Orchestrated Reasoning with Collaborative Agents for Document Visual Question Answering | | 0.96 | | ORCA (Qwen3VL-4B) | 2026-03-02 |
| Introducing Command A Vision: Multimodal AI built for business | | 0.959 | | Command A Vision | 2025-07-31 |
| Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence | ✓ Link | 0.956 | | Nemotron 3 Nano Omni (Reasoning) | 2026-04-27 |
| InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models | ✓ Link | 0.954 | | InternVL3-78B | 2025-04-14 |
| Introducing Claude 3.5 Sonnet | | 0.952 | | Claude 3.5 Sonnet | 2024-06-20 |
| Qwen2.5-Omni Technical Report | ✓ Link | 0.952 | | Qwen2.5-Omni-7B | 2025-03-26 |
| LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence | ✓ Link | 0.952 | | LLaVA-OneVision-2-8B | 2026-05-25 |
| Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model | ✓ Link | 0.9514 | | Mage-VL-4B | 2026-07-27 |
| VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding | ✓ Link | 0.949 | | VideoLLaMA3 7B | 2025-01-22 |
| MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe | ✓ Link | 0.947 | | MiniCPM-V 4.5 | 2025-09-16 |
| NVIDIA Nemotron Nano V2 VL | ✓ Link | 0.947 | | Nemotron Nano V2 VL (Reasoning off) (extra data) | 2025-11-06 |
| Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution | ✓ Link | 0.945 | | Qwen2-VL-7B | 2024-09-18 |
| The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation | ✓ Link | 0.944 | | Llama 4 Scout | 2025-04-05 |
| The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation | ✓ Link | 0.944 | | Llama 4 Maverick | 2025-04-05 |
| DocVQA: A Dataset for VQA on Document Images | ✓ Link | 0.9436 | | Human | 2020-07-01 |
| Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models | ✓ Link | 0.935 | | Molmo 72B | 2024-09-25 |
| Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders | ✓ Link | 0.933 | | Penguin-VL 2B | 2026-03-06 |
| FastVLM: Efficient Vision Encoding for Vision Language Models | ✓ Link | 0.932 | | FastVLM-7B | 2024-12-17 |
| Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs | ✓ Link | 0.932 | | Phi-4-Multimodal | 2025-02-24 |
| Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding | ✓ Link | 0.932 | | Molmo2-8B | 2026-01-15 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context | ✓ Link | 0.931 | | Gemini 1.5 Pro | 2024-03-08 |
| Hello GPT-4o | | 0.928 | | GPT-4o | 2024-05-13 |
| Qianfan-OCR: A Unified End-to-End Model for Document Intelligence | ✓ Link | 0.928 | | Qianfan-OCR | 2026-03-11 |
| Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution | ✓ Link | 0.927 | | Oryx-1.5 32B | 2024-09-19 |
| The Llama 3 Herd of Models | ✓ Link | 0.926 | | Llama 3-V (405B) | 2024-07-31 |
| Aria: An Open Multimodal Native Mixture-of-Experts Model | ✓ Link | 0.926 | | Aria | 2024-10-08 |
| Beyond Correctness: Benchmarking and Aligning Response Behaviors in Hybrid-Thinking MLLMs | | 0.9254 | | Qwen3-VL-8B + PatternRL | 2026-08-17 |
| ZAYA1-VL-8B Technical Report | ✓ Link | 0.925 | | ZAYA1-VL-8B | 2026-05-08 |
| VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding | ✓ Link | 0.919 | | VideoLLaMA3 2B | 2025-01-22 |
| From Pixels to Words -- Towards Native One-Vision Models at Scale | ✓ Link | 0.919 | | NEO-ov 9B | 2026-05-27 |
| Multimodal OCR: Parse Anything from Documents | ✓ Link | 0.9185 | | dots.mocr | 2026-03-13 |
| InfiniteVL: Synergizing Linear and Sparse Attention for Highly-Efficient, Unlimited-Input Vision-Language Models | ✓ Link | 0.917 | | InfiniteVL-Base (extra data) | 2025-12-09 |
| Multi-label Cluster Discrimination for Visual Representation Learning | ✓ Link | 0.916 | | MLCD-Embodied-7B | 2024-07-24 |
| LLaDA-UI: Bringing Block-wise Diffusion to Vision-Language GUI Agents | ✓ Link | 0.915 | | LLaDA-UI (pre-training) | 2026-09-09 |
| LLaVA-OneVision: Easy Visual Task Transfer | ✓ Link | 0.913 | | LLaVA-OneVision-72B | 2024-08-06 |
| Gemini: A Family of Highly Capable Multimodal Models | ✓ Link | 0.909 | | Gemini Ultra | 2023-12-19 |
| Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts | | 0.908 | | SMoLA-PaLI-X Specialist | 2023-12-01 |
| Pixtral 12B | ✓ Link | 0.907 | | Pixtral 12B | 2024-10-09 |
| Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts | | 0.906 | | SMoLA-PaLI-X Generalist | 2023-12-01 |
| Cosmos 3: Omnimodal World Models for Physical AI | ✓ Link | 0.904 | | Cosmos3-Super | 2026-06-01 |
| MoE-ViE: Mixture of Experts Vision Encoder for Efficient Image and Video Understanding | ✓ Link | 0.904 | | MoE-ViE-H/14 + Llama 3.1 8B (42M alignment) | 2026-08-18 |
| Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond | ✓ Link | 0.9024 | | Qwen-VL-Plus | 2023-08-24 |
| MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities | ✓ Link | 0.9011 | | Modus | 2026-07-28 |
| Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution | ✓ Link | 0.901 | | Qwen2-VL-2B | 2024-09-18 |
| Llama 3.2: Revolutionizing edge AI and vision with open, customizable models | ✓ Link | 0.901 | | Llama 3.2 90B Vision Instruct | 2024-09-25 |
| From Pixels to Words -- Towards Native Vision-Language Primitives at Scale | ✓ Link | 0.899 | | NEO-2.2B | 2025-10-16 |
| ScreenAI: A Vision-Language Model for UI and Infographics Understanding | ✓ Link | 0.8988 | | ScreenAI 5B (4.62 B params, w/OCR) | 2024-02-07 |
| PaLI-3 Vision Language Models: Smaller, Faster, Stronger | ✓ Link | 0.886 | | PaLI-3 (w/ OCR) | 2023-10-13 |
| ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding | ✓ Link | 0.8841 | | ERNIE-Layout large (ensemble) | 2022-10-12 |
| GPT-4 Technical Report | ✓ Link | 0.884 | | GPT-4 (vision, 0-shot pixel-only) | 2023-03-15 |
| Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question Answering | ✓ Link | 0.884 | | GPT-4 | 2023-06-01 |
| DocFormerv2: Local Features for Document Understanding | ✓ Link | 0.8784 | | DocFormerv2-large | 2023-06-02 |
| Unifying Vision, Text, and Layout for Universal Document Processing | ✓ Link | 0.878 | | UDOP (aux) | 2022-12-05 |
| Building and better understanding vision-language models: insights and future directions | ✓ Link | 0.877 | | Idefics3-8B | 2024-08-22 |
| PaLI-3 Vision Language Models: Smaller, Faster, Stronger | ✓ Link | 0.876 | | PaLI-3 | 2023-10-13 |
| Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image Pyramid | ✓ Link | 0.874 | | Mini-Monkey (extra data) | 2024-08-04 |
| Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer | ✓ Link | 0.8705 | | TILT-Large | 2021-02-18 |
| PaLI-X: On Scaling up a Multilingual Vision and Language Model | ✓ Link | 0.868 | | PaLI-X (Single-task FT w/ OCR) | 2023-05-29 |
| LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding | ✓ Link | 0.8672 | | LayoutLMv2LARGE | 2020-12-29 |
| ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding | ✓ Link | 0.8486 | | ERNIE-Layout large | 2022-10-12 |
| PaliGemma: A versatile 3B VLM for transfer | ✓ Link | 0.848 | | PaliGemma | 2024-07-10 |
| MiniCPM-V: A GPT-4V Level MLLM on Your Phone | ✓ Link | 0.848 | | MiniCPM-Llama3-V 2.5 | 2024-08-03 |
| Unifying Vision, Text, and Layout for Universal Document Processing | ✓ Link | 0.847 | | UDOP | 2022-12-05 |
| Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer | ✓ Link | 0.8392 | | TILT-Base | 2021-02-18 |
| LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking | ✓ Link | 0.8337 | | LayoutLMv3 Large | 2022-04-18 |
| Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question Answering | ✓ Link | 0.8336 | | Claude + LATIN-Prompt | 2023-06-01 |
| Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question Answering | ✓ Link | 0.8255 | | GPT-3.5 + LATIN-Prompt | 2023-06-01 |
| mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding | ✓ Link | 0.822 | | DocOwl 1.5 Chat (extra data) | 2024-03-19 |
| KOSMOS-2.5: A Multimodal Literate Model | ✓ Link | 0.811 | | Kosmos-2.5-chat | 2023-09-20 |
| PaLI-X: On Scaling up a Multilingual Vision and Language Model | ✓ Link | 0.809 | | PaLI-X (Multi-task FT) | 2023-05-29 |
| mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding | ✓ Link | 0.807 | | DocOwl2 | 2024-09-05 |
| DUBLIN -- Document Understanding By Language-Image Network | | 0.803 | | DUBLIN (variable resolution) | 2023-05-23 |
| PaLI-X: On Scaling up a Multilingual Vision and Language Model | ✓ Link | 0.80 | | PaLI-X (Single-task FT) | 2023-05-29 |
| SmolVLM: Redefining small and efficient multimodal models | ✓ Link | 0.800 | | SmolVLM 2.2B | 2025-04-07 |
| LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models | ✓ Link | 0.789 | | LLaVA-NeXT-Interleave 14B | 2024-07-10 |
| DUBLIN -- Document Understanding By Language-Image Network | | 0.782 | | DUBLIN | 2023-05-23 |
| LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding | ✓ Link | 0.7808 | | LayoutLMv2BASE | 2020-12-29 |
| Falcon2-11B Technical Report | | 0.769 | | Falcon2-11B VLM | 2024-07-20 |
| Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding | ✓ Link | 0.766 | | Pix2Struct-large | 2022-10-07 |
| Emu3: Next-Token Prediction is All You Need | ✓ Link | 0.763 | | Emu3 | 2024-09-27 |
| On the Design Fundamentals of Pixel Text Representation Learning | ✓ Link | 0.7541 | | Pixel Linguist II + Qwen2.5-7B-Instruct (30% visual tokens) | 2026-09-01 |
| T5Gemma 2: Seeing, Reading, and Understanding Longer | | 0.752 | | T5Gemma 2 4B-4B (post-trained) | 2025-12-16 |
| LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding | ✓ Link | 0.7427 | | LayoutLLM 7B (Vicuna-1.5) | 2024-04-08 |
| MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering | ✓ Link | 0.742 | | MatCha | 2022-12-19 |
| What matters when building vision-language models? | ✓ Link | 0.740 | | Idefics2 (w/ image split) | 2024-05-03 |
| XDoc: Unified Pre-training for Cross-Format Document Understanding | ✓ Link | 0.727 | | XDoc 1M | 2022-10-06 |
| Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding | ✓ Link | 0.721 | | Pix2Struct-base | 2022-10-07 |
| VISion On Request: Enhanced VLLM efficiency with sparse, dynamically selected, vision-language interactions | | 0.689 | | VISOR | 2026-03-24 |
| OCR-free Document Understanding Transformer | ✓ Link | 0.675 | | Donut | 2021-11-30 |
| DocVQA: A Dataset for VQA on Document Images | ✓ Link | 0.665 | 55.77 | BERT_LARGE_SQUAD_DOCVQA_FINETUNED_Baseline | 2020-07-01 |
| Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond | ✓ Link | 0.651 | | Qwen-VL | 2023-08-24 |
| End-to-end Document Recognition and Understanding with Dessurt | ✓ Link | 0.632 | | Dessurt | 2022-03-30 |
| Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond | ✓ Link | 0.626 | | Qwen-VL-Chat | 2023-08-24 |
| mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding | ✓ Link | 0.622 | | mPLUG-DocOwl (extra data) | 2023-07-04 |