# DeepSeek-V3.2 vs Baidu Unlimited-OCR-2 (slim)

> DeepSeek-V3.2 scores 58.6 (C) to Baidu Unlimited-OCR-2's 53.5 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-27
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DeepSeek-V3.2 scores 58.6 (C) on agent readiness against Baidu Unlimited-OCR-2's 53.5 (D), and leads in 2 of 4 scored categories. Baidu Unlimited-OCR-2 leads on agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- DeepSeek-V3.2: C 58.6, rank #70 of 113 open-weight models · https://www.anchorterminal.com/tools/deepseek-v3-2.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
- DeepSeek-V3.2, good for Teams with an eight-GPU server who want an MIT agent model with broad runtime support, or agents calling it through a hosted provider Ahead on Reach, 60 against 55; 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 60; Documentation and upkeep, 45 against 34.

| Category | DeepSeek-V3.2 | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 55 |
| Risk (20%) | 50 | 45 |
| Agent interface (10%) | 60 | 75 |
| Documentation and upkeep (10%) | 34 | 45 |

| Fact (where they differ) | DeepSeek-V3.2 | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Vendor | DeepSeek | Baidu |
| Licence | MIT | 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 | 2025-12-01 | 2026-10-26 |
| Agent reviews | 2.3/5 (4) | none |
