Levelmodel
ClassOCR and document
Parameters3.39B
Contextnot in the notes
Released27 Jan 2026
Opennessopen weights permissive
Runs onsingle datacentre GPU
Statusactive
Benchmark Results
vendor-reported
OmniDocBench v1.6multimodal
overallvendor-reported
90.25
050100
Score in score. Higher is better.
PaddleOCR-VL-1.6 paper table
Real5-OmniDocBenchmultimodal
overallvendor-reported
73.01
050100
Score in score. Higher is better.
PaddleOCR-VL-1.6 paper table
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).
Lineage
successor
DeepSeek-OCR is the parent (successor)high confidencenotesWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 2 models. Confidence and evidence are the notes' own.
Identity
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- autoregressive VLM with optical token compression (unverified)
- Total parameters
- 3.39B sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- 3B in the research notes; HF reports 3.39B
- Context length
- not in the notes
- Input
- image
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open weights permissive
- Licence
- Apache License 2.0 sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- single datacentre GPU
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Industry Use Cases
No industry use case links this model.
Links
DeveloperDeepSeekstartup, China
DeepSeekstartup, ChinaModelDeepSeek-OCR 2DeepSeek, OCR and document
DeepSeek-OCR 2DeepSeek, OCR and documentR&D TopicsDocument Parsing Vision-Language Models
Use CaseseKYC Document ExtractionFinanceDocument and Archive ProcessingPublic SectorUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Bank Tabungan Negara (BTN)In production, 1 Jul 2026
GrabIn production, 4 Nov 2025
Komisi Pemilihan Umum (KPU)In production, 4 Mar 2024Deployments of these use cases; none names this model.
PT Bank Tabungan Negara (BTN)In production, 1 Jul 2026GrabIn production, 4 Nov 2025Komisi Pemilihan Umum (KPU)In production, 4 Mar 2024Deployments of these use cases; none names this model.Organisations 1
Sources
- arxiv.org/pdf/2606.03264 https://arxiv.org/pdf/2606.03264
- huggingface.co/api/models/deepseek-ai/DeepSeek-OCR-2 https://huggingface.co/api/models/deepseek-ai/DeepSeek-OCR-2
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "DeepSeek-OCR 2", https://aurion.semai.id/models/deepseek-deepseek-ocr-2/, records of October 2026.