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

> LBS-27B and Baidu Unlimited-OCR-2 score within a point of each other for open-weight models you run yourself, 53.9 and 53.5 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

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LBS-27B and Baidu Unlimited-OCR-2 score within a point of each other on agent readiness, 53.9 (D) and 53.5 (D). Baidu Unlimited-OCR-2 leads on agent interface. Both do open-weight models you run yourself.

- LBS-27B: D 53.9, rank #91 of 113 open-weight models · https://www.anchorterminal.com/tools/lbs-27b.min.md
- Baidu Unlimited-OCR-2: D 53.5, rank #92 of 113 open-weight models · https://www.anchorterminal.com/tools/unlimited-ocr-2.min.md
- LBS-27B, good for Agents with about 96 GB of GPU memory that need to find click targets on dense professional screenshots, or read fine detail in large images, and can run a small crop loop and wait for independent results. Ahead on Risk, 50 against 45.
- 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 Agent interface, 75 against 70.

| Category | LBS-27B | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 55 |
| Risk (20%) | 50 | 45 |
| Agent interface (10%) | 70 | 75 |
| Documentation and upkeep (10%) | 43 | 45 |

| Fact (where they differ) | LBS-27B | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | Baidu |
| Licence | Apache-2.0 (the card's metadata and licence section; the LICENSE file sits in the GitHub repository inclusionAI/UI-Venus on its LBS branch, not in the Hugging Face repository) | 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) |
