Baidu

Unlimited-OCR

About

Unlimited-OCR is a 3B open-weight model from Baidu. Long-horizon document parsing with batched multi-page OCR. It accepts text, images, and documents. Context window is 32K. License is MIT. Released June 19, 2026.

Parameters
3B
Published parameter count.
Context window
32K
Tokens of context on a request.
License
MIT
License on the weights.

Pricing

Token rates are US dollars per 1M tokens. Image rates are per 1K images. Audio rates are per 1M audio seconds.

Rate	Price
Input / 1M	$0.25
Cached input / 1M	$0.03
Output / 1M	$0.55

Compare

Unlimited-OCR is one of the catalog's OCR models. The table is each model's published price, size, and context.

Model	What it does	Price	Parameters	Context
Unlimited-OCR	Long-horizon document parsing with batched multi-page OCR.	$0.25 / 1M input	3B	32K
PP-OCRv6	PaddleOCR PP-OCRv6 medium text detection and recognition; scene OCR JSONL on image chat; text returns plain text; document_url fan-out via text.	$0.01 / 1M input	20M	—
DeepSeek-OCR-2	DeepSeek OCR 2 and markdown extraction.	$0.25 / 1M input	3.4B	32K
dots.mocr	Multilingual document layout parsing and markdown OCR.	$0.20 / 1M input	3B	32K

Benchmarks

Published scores for Unlimited-OCR, from the Unlimited-OCR paper.

Evals

Reading	Example
Qualitative	Clear structure, grounded in the input
Quantitative	OmniDocBench v1.6: 93.92.
Cost and performance	Lower listed rate, mid-pack latency

Methods

Methods this model serves. Payload shapes are in the docs.

Method	Returns
markdown	The page as Markdown
multi_page	Markdown across a window of pages

Estimate cost

Estimate. A page is 2,500 input tokens and 1,000 output tokens.

Pages

$1.18

Quick start

Call this model on the OpenAI-compatible gateway. The model id is already filled in.

from openai import OpenAI

client = OpenAI(
    base_url="https://gateway.vlm.run/v1/openai",
    api_key="<VLMRUN_API_KEY>",
)

response = client.chat.completions.create(
    model="baidu/unlimited-ocr",
    messages=[{"role": "user", "content": "What is in this image?"}],
)

print(response.choices[0].message.content)