PaddleOCR-VL-1.6 by PaddlePaddle: Open-Weight Model

Runs On

What it takes to serve PaddleOCR-VL-1.6 (959M parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.

Precision	Weights	Memory needed	Cheapest setup	Per hour	Also fits
16-bit	1.9 GB	2.3 GB	1x MI300X (192 GB) Vultr	$1.85	1x H100 $1.99 · 1x MI325X $2.00
8-bit	1.0 GB	1.2 GB	1x MI300X (192 GB) Vultr	$1.85	1x H100 $1.99 · 1x MI325X $2.00
4-bit	0.5 GB	0.6 GB	1x MI300X (192 GB) Vultr	$1.85	1x H100 $1.99 · 1x MI325X $2.00

Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Oct 14, 2026.

PaddleOCR-VL-1.6 on every accelerator the SAVRN Index prices, at every precision

SAVRN's Notes on PaddleOCR-VL-1.6

PaddleOCR-VL 1.6 parses documents, including text, tables, formulas and charts, with a compact model of under 1B parameters. It builds on version 1.5 with better handling of difficult page regions.

It needs about 2 GB at 16-bit, so it can run on nearly any GPU. Apache 2.0 allows commercial use. For high-volume document parsing where cost per page matters, this is one of the first models we would test.

SAVRN Research, 2026-09-18

Model Card

By PaddlePaddle, published under apache-2.0, revision c5630abae1d9.

PaddleOCR-VL-1.6: Expanding the Frontier of Document Parsing with Under-Optimized Region Refinement and Progressive Post-Training

[![repo](https://img.shields.io/github/stars/PaddlePaddle/PaddleOCR?color=ccf)](https://github.com/PaddlePaddle/PaddleOCR) [![HuggingFace](https://img.shields.io/badge/HuggingFace-black.svg?logo=data:image/png;base64,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&labelColor=white)](https://huggingface.co/PaddlePaddle/PaddleOCR-VL-1.6) 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[![Discord](https://img.shields.io/badge/Discord-ERNIE-5865F2?logo=discord&logoColor=white)](https://discord.gg/JPmZXDsEEK) [![X](https://img.shields.io/badge/X-PaddlePaddle-6080F0)](https://x.com/PaddlePaddle) [![License](https://img.shields.io/badge/license-Apache_2.0-green)](./LICENSE) ** [Official Website](https://www.paddleocr.com)** ** [Technical Report](https://arxiv.org/pdf/2606.03264)**

Introduction

We introduce PaddleOCR-VL-1.6, an upgraded compact document parsing model built upon PaddleOCR-VL-1.5. PaddleOCR-VL-1.6 introduces a region-aware data optimization framework that identifies weak regions from the previous model, applies targeted enhancement to those regions, and improves the reliability of supervision signals. It further adopts a progressive post-training recipe based on curated data selection and reinforcement learning, pushing model performance to a higher level through staged optimization. PaddleOCR-VL-1.6 achieves a new state-of-the-art score of 96.33% on OmniDocBench v1.6, sets new records on OmniDocBench v1.5 and Real5-OmniDocBench as well, and demonstrates strong competitiveness against top-tier VLMs. The model architecture is fully compatible with PaddleOCR-VL-1.5, enabling zero-cost plug-and-play migration.

Key Capabilities of PaddleOCR-VL-1.6

Read the full model card (1,031 words)

Configuration

Architecture: PaddleOCRVLForConditionalGeneration
Context length (tokens): 131,072
Layers: 18
Hidden size: 1,024
Feed-forward size: 3,072
Attention heads: 16
Key/value heads: 2
Head dimension: 128
Vocabulary size: 103,424
RoPE base: 500,000
Stored precision: bfloat16
Model type: paddleocr_vl

Identity and Version

Repository: PaddlePaddle/PaddleOCR-VL-1.6
Publisher: PaddlePaddle
Task: Image and text to text
Modality: Image and text
Library: PaddleOCR
Parameters: 959M parameters
Languages: en, zh
Revision: c5630abae1d940eafe0697512a0325494b02ab42
First published: 2026-05-27
Last updated: 2026-08-08

Files and Weights

20 files, 1.9 GB in total. The weights are 1 file totalling 1.9 GB in safetensors.

Weights1 file · 1.9 GB

Configuration12 files · 180.2 KB

Tokenizer3 files · 13.0 MB

Documentation2 files · 32.8 KB

Other1 file · 1.5 KB

Repository1 file · 1.6 KB

Every file

File	Type	Size	SHA-256
model.safetensors	Weights	1.9 GB	85a479d506a1
.eval_results/real5_omnidocbench.yaml	Configuration	1.4 KB	—
added_tokens.json	Configuration	25.4 KB	—
config.json	Configuration	2.1 KB	—
configuration_paddleocr_vl.py	Configuration	8.1 KB	—
generation_config.json	Configuration	133 B	—
image_processing_paddleocr_vl.py	Configuration	25.0 KB	—
inference.yml	Configuration	43 B	—
modeling_paddleocr_vl.py	Configuration	103.9 KB	—
preprocessor_config.json	Configuration	641 B	—
processing_paddleocr_vl.py	Configuration	12.3 KB	—
processor_config.json	Configuration	137 B	—
special_tokens_map.json	Configuration	1.2 KB	—
LICENSE	Documentation	11.4 KB	—
README.md	Documentation	21.4 KB	—
chat_template.jinja	Other	1.5 KB	—
.gitattributes	Repository	1.6 KB	—
tokenizer.json	Tokenizer	11.2 MB	c8a215a59183
tokenizer.model	Tokenizer	1.6 MB	34ef7db83df7
tokenizer_config.json	Tokenizer	186.9 KB	—

License and Download

License: apache-2.0
Access: Open weights, no gate
Download size: 1.9 GB

Download from PaddlePaddle

Released by PaddlePaddle through its official repository on Hugging Face. Read the license.

Built From

Described by arXiv:2606.03264

Evaluations

Each result is shown as reported, with the conditions its reporter stated. None is a SAVRN measurement. A comparison lines two results up only when their configuration, unit and setup are all stated and identical.

Benchmark	Conditions	Result	Reported by	Revision	Date
Delores-Lin/MDPBench	Task arMetric arComparison conditions not established	76.2	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task deMetric deComparison conditions not established	85.1	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task digitalMetric digitalComparison conditions not established	87.1	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task enMetric enComparison conditions not established	83.5	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task esMetric esComparison conditions not established	75.1	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task frMetric frComparison conditions not established	78.6	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task hiMetric hiComparison conditions not established	70.7	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task idMetric idComparison conditions not established	82.7	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task itMetric itComparison conditions not established	85.5	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task jpMetric jpComparison conditions not established	70.3	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task koMetric koComparison conditions not established	86.3	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task latinMetric latinComparison conditions not established	81.4	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task nlMetric nlComparison conditions not established	80.5	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task non_latinMetric non_latinComparison conditions not established	76.1	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task overallMetric overallComparison conditions not established	78.9	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task photographedMetric photographedComparison conditions not established	76.3	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task privateMetric privateComparison conditions not established	83	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task ptMetric ptComparison conditions not established	80.9	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task thMetric thComparison conditions not established	67.3	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task zhMetric zhComparison conditions not established	85.9	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
Delores-Lin/MDPBench	Task zh_tMetric zh_tComparison conditions not established	76.7	MDPBench leaderboard Reported by a third party	Evaluated revision not stated	2026-08-15
PaddlePaddle/Real5-OmniDocBench	Task illuminationMetric illuminationComparison conditions not established	93.28	Real5-OmniDocBench Leaderboard Reported by a third party	Evaluated revision not stated	2026-08-08
PaddlePaddle/Real5-OmniDocBench	Task overallMetric overallComparison conditions not established	93.19	Real5-OmniDocBench Leaderboard Reported by a third party	Evaluated revision not stated	2026-08-08
PaddlePaddle/Real5-OmniDocBench	Task scanningMetric scanningComparison conditions not established	94.74	Real5-OmniDocBench Leaderboard Reported by a third party	Evaluated revision not stated	2026-08-08
PaddlePaddle/Real5-OmniDocBench	Task screen_photographyMetric screen_photographyComparison conditions not established	92.78	Real5-OmniDocBench Leaderboard Reported by a third party	Evaluated revision not stated	2026-08-08
PaddlePaddle/Real5-OmniDocBench	Task skewMetric skewComparison conditions not established	92.66	Real5-OmniDocBench Leaderboard Reported by a third party	Evaluated revision not stated	2026-08-08
PaddlePaddle/Real5-OmniDocBench	Task warpingMetric warpingComparison conditions not established	92.48	Real5-OmniDocBench Leaderboard Reported by a third party	Evaluated revision not stated	2026-08-08
allenai/olmOCR-bench	Task old_scansMetric old_scansSetup PaddleOCR-VL-1.6 pipeline, greedy, no tuning; old_scans.jsonl sub-scoreComparison conditions not established	38.6	ocr-bench — old_scans eval Reported by a third party	Evaluated revision not stated	2026-06-27
llamaindex/ParseBench	Task chartMetric chartSetup Pipeline name: paddleocr_vl_1_6_pipelineComparison conditions not established	54.24	ParseBench Reported by a third party	Evaluated revision not stated	2026-06-01
llamaindex/ParseBench	Task layoutMetric layoutSetup Pipeline name: paddleocr_vl_1_6_pipelineComparison conditions not established	77.8	ParseBench Reported by a third party	Evaluated revision not stated	2026-06-01
llamaindex/ParseBench	Task meanMetric meanSetup Pipeline name: paddleocr_vl_1_6_pipelineComparison conditions not established	67.43	ParseBench Reported by a third party	Evaluated revision not stated	2026-06-01
llamaindex/ParseBench	Task tableMetric tableSetup Pipeline name: paddleocr_vl_1_6_pipelineComparison conditions not established	67.77	ParseBench Reported by a third party	Evaluated revision not stated	2026-06-01
llamaindex/ParseBench	Task text_contentMetric text_contentSetup Pipeline name: paddleocr_vl_1_6_pipelineComparison conditions not established	82.71	ParseBench Reported by a third party	Evaluated revision not stated	2026-06-01
llamaindex/ParseBench	Task text_formattingMetric text_formattingSetup Pipeline name: paddleocr_vl_1_6_pipelineComparison conditions not established	54.64	ParseBench Reported by a third party	Evaluated revision not stated	2026-06-01

Memory Requirements

Precision	Weights in memory
As published	1.9 GB
16-bit	1.9 GB
8-bit	1.0 GB
4-bit	0.5 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Compare PaddleOCR-VL-1.6

PaddleOCR-VL-1.6 vs Qwen3.5-0.8B

Questions About PaddleOCR-VL-1.6

How much GPU memory does PaddleOCR-VL-1.6 need?

About 2.3 GB at 16-bit and 0.6 GB at 4-bit: the weights (959M parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run PaddleOCR-VL-1.6 on?

At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

Can I use PaddleOCR-VL-1.6 commercially?

Yes. PaddleOCR-VL-1.6 is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

What is PaddleOCR-VL-1.6's context length?

131,072 tokens, from the maximum position embeddings in its published configuration.

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