DeepSeek-OCR
Pilot $4,900 fixed
- Sizes
- 3.3B MoE
- Active params
- ~0.57B
- Context
- 8K
- Licence
- MIT
- Fits on
- CPU only at 4-bit, any GPU
- Endpoint
- llm.yourcompany.internal/v1
- Egress
- 0
- Owner
- YOU
DeepSeek-OCR turns scans, PDFs and forms into text and structure on GPUs you control. The documents never leave your network.
This card is the installation. Pick a size on its edge and it is re-issued.
Pilot $4,900 fixed
$4,900 fixed. DeepSeek-OCR is the most downloaded of the two and fits on CPU only at 4-bit. The others fit on the same hardware or less.
72 h$4,900 fixed
DeepSeek-OCR live on your data in 72 hours. The clock starts after access and prerequisites.
/v1OpenAI-compatible
OpenAI-compatible endpoint. Your applications switch by changing the base URL.
Evalon your data
Reference evaluation on your data. Readout and production scoping.
We size the hardware and source it at cost, with no markup. Ballpark: one H100 80GB ≈ $25–30k; a 4×H100 node ≈ $180–240k; smaller models run on far less.
The model is one parameter. Everything else in your application stays as it is.
client = OpenAI(
base_url="https://llm.yourcompany.internal/v1", # inside your network
api_key="your-key",
)
page = client.chat.completions.create(
model="deepseek-ocr",
messages=[{"role": "user", "content": [
{"type": "image_url", "image_url": {"url": scan_data_url}},
{"type": "text", "text": "Convert this page to Markdown."},
]}],
)DeepSeek-OCR is released under the MIT licence, which permits commercial use, modification and private deployment.
DeepSeek-OCR 2 is released under Apache 2.0: commercial use, modification and private deployment are permitted.
We read the current licence text against your use when we scope the pilot.
Published by DeepSeek. We are not affiliated with the vendor. This is a summary, not legal advice.
Tell us the model, the data and the GPUs you have. An engineer from Limassol or Auckland scopes the 72-hour pilot with you.
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