# Nanonets-OCR2-3B vs Baidu Unlimited-OCR-2 (slim)

> Baidu Unlimited-OCR-2 scores 54.2 (C) to Nanonets-OCR2-3B's 48.1 (D) for ocr. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/nanonets-ocr2-3b-vs-unlimited-ocr-2.md (~6,750 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/nanonets-ocr2-3b-vs-unlimited-ocr-2.json · canonical https://www.anchorterminal.com/compare/nanonets-ocr2-3b-vs-unlimited-ocr-2
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Baidu Unlimited-OCR-2 scores 54.2 (C) on agent readiness against Nanonets-OCR2-3B's 48.1 (D), and leads in 3 of 4 scored categories. Both do ocr.

- Nanonets-OCR2-3B: D 48.1, rank #153 of 160 open-weight models · https://www.anchorterminal.com/tools/nanonets-ocr2-3b.min.md
- Baidu Unlimited-OCR-2: C 54.2, rank #133 of 160 open-weight models · https://www.anchorterminal.com/tools/unlimited-ocr-2.min.md
- Nanonets-OCR2-3B, good for Researchers and teams evaluating page-to-Markdown OCR who can wait for a licence before shipping
- Baidu Unlimited-OCR-2, good for Pipelines with an NVIDIA GPU that need long scanned or rendered documents parsed in one pass, with page order, cross-page tables and boxes kept Ahead on Risk, 45 against 40; Agent interface, 75 against 70; Documentation and upkeep, 50 against 25.

| Category | Nanonets-OCR2-3B | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 55 |
| Risk (20%) | 40 | 45 |
| Agent interface (10%) | 70 | 75 |
| Documentation and upkeep (10%) | 25 | 50 |

| Fact (where they differ) | Nanonets-OCR2-3B | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Vendor | Nanonets | Baidu |
| Licence | None stated (the base model, Qwen2.5-VL-3B-Instruct, is under the Qwen Research licence) | MIT (Hub metadata; the Hugging Face repository has no LICENSE file, and the GitHub code repository's LICENSE is the MIT text, copyright 2026 Baidu) |
| Last release | 2025-10-16 | 2026-10-26 |

Why the edge:
- Documentation and upkeep, Baidu Unlimited-OCR-2 +25: Nanonets-OCR2-3B 25 (Model card 5, Intended use and the languages are on the card.); Baidu Unlimited-OCR-2 50 (The card covers intended use and the new attention, and misses limitations, parameters, context length, languages and a cut-off (5).)
- Risk, Baidu Unlimited-OCR-2 +5: Nanonets-OCR2-3B 40 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.); Baidu Unlimited-OCR-2 45 (File safety gets 15, safetensors only but loaded with trust_remote_code or through a prebuilt SGLang wheel from the repository.)
- Agent interface, Baidu Unlimited-OCR-2 +5: Nanonets-OCR2-3B 70 (Chat template 20, chat_template.jinja in the repository (1,017 characters), Qwen's ChatML format with image placeholders.); Baidu Unlimited-OCR-2 75 (Read for a document parser, the tool-calling, trained tool calling and structured-output lines stand for what it takes and returns.)