# Nanbeige4.2-3B vs Baidu Unlimited-OCR-2 (slim)

> Nanbeige4.2-3B scores 61 (C) to Baidu Unlimited-OCR-2's 54.2 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-unlimited-ocr-2.md (~10,350 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-unlimited-ocr-2.json · canonical https://www.anchorterminal.com/compare/nanbeige-4-2-3b-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
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Nanbeige4.2-3B scores 61 (C) on agent readiness against Baidu Unlimited-OCR-2's 54.2 (C), and leads in every scored category. Both do open-weight models you run yourself.

- Nanbeige4.2-3B: C 61, rank #78 of 160 open-weight models · https://www.anchorterminal.com/tools/nanbeige-4-2-3b.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
- Nanbeige4.2-3B, good for Local agents that need tool calling and a long context on a laptop or a small GPU Ahead on Reach, 85 against 55; Risk, 55 against 45; Agent interface, 85 against 75; Documentation and upkeep, 72 against 50.
- 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

| Category | Nanbeige4.2-3B | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 55 |
| Risk (20%) | 55 | 45 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 72 | 50 |

| Fact (where they differ) | Nanbeige4.2-3B | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Vendor | Nanbeige LLM Lab (BOSS Zhipin) | Baidu |
| Licence | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) | 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 | 2026-09-11 | 2026-10-26 |

Why the edge:
- Reach, Nanbeige4.2-3B +30: Nanbeige4.2-3B 85 (Memory 30, the smallest build from Nanbeige is the FP8 repository (the 8-bit GPTQ one is the same size), 5.19 GB, and 5.19 GB × 1.2 = 6.2 GB, within 16 GB.); Baidu Unlimited-OCR-2 55 (Memory earns the full 30, since the only build is 6.69 GB of BF16 weights that need about 8 GB with the fifth added.)
- Documentation and upkeep, Nanbeige4.2-3B +22: Nanbeige4.2-3B 72 (Model card 17, Intended use, limitations, the architecture, the parameters (3B outside the embeddings), the context and the languages (in the metadata) are on t…); 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, Nanbeige4.2-3B +10: Nanbeige4.2-3B 55 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); 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, Nanbeige4.2-3B +10: Nanbeige4.2-3B 85 (Chat template 20, A Jinja chat template in tokenizer_config.json (7,961 characters), with enable_thinking, preserve_thinking, tools and tool_call_format switche…); 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.)