DeepSeek-OCR 2 vs Nanonets-OCR2-3B

DeepSeek-OCR 2 35

Chat template 10, no Jinja template in the repository and none in tokenizer_config.json. Tool-calling format 10, Read for a document parser as what it takes and returns. Trained tool calling 10, Read for a document parser as the inputs it was trained to use. Structured output 5, Read for a document parser as typed outputs. Reasoning control 0, A document parser with no reasoning. Context 0, config.json gives 8,192 positions, below the 32K band. 10 + 10 + 10 + 5 + 0 + 0 = 35.

Nanonets-OCR2-3B 70

Chat template 20, chat_template.jinja in the repository (1,017 characters), Qwen's ChatML format with image placeholders. Tool-calling format 25, Read for a document parser as what it takes and returns. Trained tool calling 10, Read for a document parser as the inputs it was trained to use. Structured output 15, Read for a document parser as typed outputs. Reasoning control 0, A document parser with no reasoning. Context 0, Nanonets states no context length for it. 20 + 25 + 10 + 15 + 0 + 0 = 70.

DeepSeek-OCR 2 65

Memory 30, the only build from DeepSeek is the BF16 safetensors file, 6.78 GB, and 6.78 GB × 1.2 = 8.1 GB, within 16 GB. No runtime library has a build of this version. Runtimes 10, Released vLLM 0.33.0 registers DeepseekOCR2ForCausalLM (deepseek_ocr2.py), and llama.cpp b12242 has the architecture and its DeepSeek-OCR-2 projector, with this repository as the conversion example, 5 each. Builds 0, DeepSeek publishes the BF16 weights only. Terms 15, Apache 2.0, OSI-approved, with nothing added, in the card's metadata and as LICENSE.txt in the repository. Download 10, the Hub API reports gated false on 10 November 2026, so the files download with no account and nothing to accept. Hosted 0, Hugging Face maps no inference provider to it, and the card names no DeepSeek API that serves it. 30 + 10 + 0 + 15 + 10 + 0 = 65.

Nanonets-OCR2-3B 55

Memory 30, the only build from Nanonets is the BF16 safetensors files, 7.51 GB, and 7.51 GB × 1.2 = 9.0 GB, within 16 GB. No runtime library has a build. Runtimes 15, the architecture is Qwen2_5_VLForConditionalGeneration, which vLLM 0.33.0, SGLang 0.5.23 and Transformers 5.22.2 run from the safetensors files, three at 5 each. Builds 0, Nanonets publishes the BF16 weights only. Terms 0, no licence. Download 10, the Hub API reports gated false on 10 November 2026, so the files download with no account and nothing to accept. Hosted 0, Hugging Face maps no inference provider to it. 30 + 15 + 0 + 0 + 10 + 0 = 55.

DeepSeek-OCR 2 50

File safety 15, safetensors only, no .bin, .pt or .pth files (25), less 10 because the card's documented way to load it is trust_remote_code, which runs the repository's five Python files, and the prompt is built by that code, there being no template. Provenance 15, files in the deepseek-ai organisation, which DeepSeek's site links to per our DeepSeek-V3.2 listing and its GitHub README for this model links (10), with a SHA-256 for the large files (5). Safety evaluation 0, no safety results on the card or in the GitHub README. Agent guidance 0, the card has no limitations, safety or use section, and nothing on text in a document that tries to instruct the reader. Licence risk 15, Apache 2.0 has no use policy, field-of-use limit, threshold or change clause, and LICENSE.txt is in the repository. Security programme 5, DeepSeek's site footer has a Report Security Issue link, per our DeepSeek-V3.2 listing (5). 15 + 15 + 0 + 0 + 15 + 5 = 50.

Nanonets-OCR2-3B 40

File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository. Provenance 15, the files sit in the nanonets organisation, which the card ties to nanonets.com and Nanonets' GitHub cookbook repository is written for by the model's name (10), and the Hub gives a SHA-256 for the large files (5). Safety evaluation 0, no safety results on the card. Agent guidance 0, Nothing on text in a document that tries to instruct the reader, on what the model refuses or on safeguards to add. Licence risk 0, With no licence there is nothing to hold Nanonets to. Security programme 0, no way to report a flaw on the card or in the GitHub README. Our Nanonets listing found no security.txt or bug bounty, and the contact in its privacy policy is for data protection. 25 + 15 + 0 + 0 + 0 + 0 = 40.