# LFM3-Omni-2B vs Baidu Unlimited-OCR-2 (slim)

> LFM3-Omni-2B 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/lfm3-omni-2b-vs-unlimited-ocr-2.md (~9,750 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-unlimited-ocr-2.json · canonical https://www.anchorterminal.com/compare/lfm3-omni-2b-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)

LFM3-Omni-2B scores 61 (C) on agent readiness against Baidu Unlimited-OCR-2's 54.2 (C), and leads in 1 of 4 scored categories. Baidu Unlimited-OCR-2 leads on risk and agent interface. Both do open-weight models you run yourself.

- LFM3-Omni-2B: C 61, rank #71 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-omni-2b.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
- LFM3-Omni-2B, good for Voice and camera agents on a laptop or phone that want one small model for hearing, seeing, speaking and calling tools Ahead on Reach, 80 against 55.
- 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.

| Category | LFM3-Omni-2B | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 55 |
| Risk (20%) | 40 | 45 |
| Agent interface (10%) | 70 | 75 |
| Documentation and upkeep (10%) | 49 | 50 |

| Fact (where they differ) | LFM3-Omni-2B | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Vendor | Liquid AI | Baidu |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | 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) |
| llms.txt | yes | no |
| Last release | 2026-11-03 | 2026-10-26 |

Why the edge:
- Reach, LFM3-Omni-2B +25: LFM3-Omni-2B 80 (Memory 30, Liquid's Q4_K_M GGUF is 1.10 GB with its 0.29 GB projector file, and 1.39 GB × 1.2 = 1.7 GB, which fits 8 GB, well inside the 16 GB line.); 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.)
- Risk, Baidu Unlimited-OCR-2 +5: LFM3-Omni-2B 40 (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, Baidu Unlimited-OCR-2 +5: LFM3-Omni-2B 70 (Chat template 20, chat_template.jinja in the repository (13,513 characters), with roles, images, video and audio, tools, deferred tools and tool results.); 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.)