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ModelCap

DeepSeek OCR 2

Official publisher releaseOpen weights

Deepseek Ai·deepseek-ai/DeepSeek-OCR-2

DeepSeek OCR 2 weight access is open weights, from ModelCap classification of published repository metadata as of 9 Sept 2026, 22:02 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
Not scored · 0% support · score interval not available
Market Gravity
16.2
Secondary market signal

OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.

Input
Self-hosted
weights only · no listed API price
Output
Self-hosted
weights only · no listed API price
Context
tokens
Providers
0
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

Reported evaluation leads (19)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
allenai/olmOCR-bench
overall
76.3
Unpinned
not published
Reported
Quarantined
allenai/olmOCR-bench
arxiv_math
82
Unpinned
not published
Reported
Quarantined
allenai/olmOCR-bench
old_scans_math
72
Unpinned
not published
Reported
Quarantined
allenai/olmOCR-bench
table_tests
77.4
Unpinned
not published
Reported
Quarantined
allenai/olmOCR-bench
old_scans
33.8
Unpinned
not published
Reported
Quarantined
allenai/olmOCR-bench
multi_column
79
Unpinned
not published
Reported
Quarantined
allenai/olmOCR-bench
long_tiny_text
90.7
Unpinned
not published
Reported
Quarantined
llamaindex/ParseBench
mean
41.2
Unpinned
not published
Reported
Quarantined
llamaindex/ParseBench
text_content
82
Unpinned
not published
Reported
Quarantined
llamaindex/ParseBench
text_formatting
54
Unpinned
not published
Reported
Quarantined
llamaindex/ParseBench
layout
7
Unpinned
not published
Reported
Quarantined
llamaindex/ParseBench
chart
1.1
Unpinned
not published
Reported
Quarantined
llamaindex/ParseBench
table
61.7
Unpinned
not published
Reported
Quarantined
PaddlePaddle/Real5-OmniDocBench
overall
73.01
Unpinned
not published
Reported
Quarantined
PaddlePaddle/Real5-OmniDocBench
scanning
89.59
Unpinned
not published
Reported
Quarantined
PaddlePaddle/Real5-OmniDocBench
warping
66.53
Unpinned
not published
Reported
Quarantined
PaddlePaddle/Real5-OmniDocBench
screen_photography
71.65
Unpinned
not published
Reported
Quarantined
PaddlePaddle/Real5-OmniDocBench
illumination
76.02
Unpinned
not published
Reported
Quarantined
PaddlePaddle/Real5-OmniDocBench
skew
61.28
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
Not scored · placement uncalibrated
Public rank basis
Not scored (abstained)
Index support
0.0% · not applicable
Index interval
Not available
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
No admitted evaluation publication timestamp
Identity binding
Exact catalogue product · deepseek-ai/deepseek-ai/DeepSeek-OCR-2 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata deepseek-ai/DeepSeek-OCR-2@aaa02f3811945a91062062994c5c4a3f4c0af2b0 (not the evaluation revision)
Index observations used
0
Architecture fallback
abstained · 0% coverage · 0 anchors
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
Evidence status
No admitted measured evidence
General preference
Coding
Agents & tools
Reasoning
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
Liquidity (providers × uptime)
Open reach (HF downloads)
94.2
Surface (context / tools / modalities)
15.0
Freshness
42.3
  • · HF 30d downloads 962861
  • · Catalogue: modalities Text/Image
  • · First seen 2026-01-27

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Experimental capability estimate

Estimate policy
36.9
17.9–56.0 uncertainty interval
Excluded from rank
Confidence
67%
Training support
185 models · 106 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
10.3 MAE

Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
47.9
partial · 52% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
0.0

Missing: artifactReproducibility.base-lineage, deployability.independent-provider-records, deployability.measured-provider-uptime, deployability.published-provider-pricing, deployability.declared-capacity, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
16.2
OpenRouter weekly popularity
Not listed

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
0.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
0.0

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
94.2

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
42.3

Time since first public availability, on a six-month half-life.

Specification

Context window
tokens
Max output
Inputs
Text, Image
Outputs
Text
Tokenizer
Cached input tokens
Not offered
First seen on OpenRouter
27 Jan 2026

Capabilities

  • Not supported: Reasoning
  • Not supported: Tool use
  • Not supported: Structured output
  • Not supported: Response format
  • Not supported: Moderated

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
apache-2.0
Pinned revision
aaa02f381194
Parameters
3.4B
Architecture
DeepseekOCR2ForCausalLM
Model type
deepseek_vl_v2
Hugging Face downloads (30d)
963K
Downloads (all time)
13.7M
Likes
1K
Repository updated
3 Feb 2026, 00:33 UTC

DeepSeek OCR 2: common questions

How does DeepSeek OCR 2 rank among AI models?

DeepSeek OCR 2 has no public ModelCap Index position as of 9 September 2026: the snapshot lacks enough matched benchmark evidence, or the identity match is unresolved. Its catalogue facts (price, context, providers) are shown without a rank.

How much does DeepSeek OCR 2 cost per 1M tokens?

No live API price is listed for DeepSeek OCR 2 in the current snapshot as of 9 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is DeepSeek OCR 2 open-weight?

Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is deepseek-ai/DeepSeek-OCR-2 on Hugging Face.

When was DeepSeek OCR 2 released?

DeepSeek OCR 2 first appeared in the catalogue on 27 Jan 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.