# Arete-27B vs Baidu Unlimited-OCR-2 (slim)

> Arete-27B and Baidu Unlimited-OCR-2 score within a point of each other for open-weight models you run yourself, 55.1 and 54.2 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/arete-27b-vs-unlimited-ocr-2.md (~9,500 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/arete-27b-vs-unlimited-ocr-2.json · canonical https://www.anchorterminal.com/compare/arete-27b-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)

Arete-27B and Baidu Unlimited-OCR-2 score within a point of each other on agent readiness, 55.1 (C) and 54.2 (C). Baidu Unlimited-OCR-2 leads on reach and agent interface. Both do open-weight models you run yourself.

- Arete-27B: C 55.1, rank #123 of 160 open-weight models · https://www.anchorterminal.com/tools/arete-27b.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
- Arete-27B, good for Agents that want Qwen3.8-27B's coding and tool use without its handling of politically sensitive topics, on a 24 GB card or a 128 GB machine Ahead on Risk, 55 against 45; Documentation and upkeep, 63 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 Ahead on Reach, 55 against 50; Agent interface, 75 against 60.

| Category | Arete-27B | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 55 |
| Risk (20%) | 55 | 45 |
| Agent interface (10%) | 60 | 75 |
| Documentation and upkeep (10%) | 63 | 50 |

| Fact (where they differ) | Arete-27B | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Vendor | Nous Research | Baidu |
| Licence | Apache-2.0 | 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 | 2026-11-06 | 2026-10-26 |

Why the edge:
- Agent interface, Baidu Unlimited-OCR-2 +15: Arete-27B 60 (Chat template 20, a Jinja file in the repository.); 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.)
- Documentation and upkeep, Arete-27B +13: Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.); 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, Arete-27B +10: Arete-27B 55 (File safety 25, safetensors only and no remote code.); 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.)
- Reach, Baidu Unlimited-OCR-2 +5: Arete-27B 50 (Memory 10, the only build from Nous Research is the 54.7 GB BF16 release, which needs about 66 GB and fits the reference machine.); 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.)
