# Inkling 2 Small vs Baidu Unlimited-OCR-2 (slim)

> Inkling 2 Small scores 58.8 (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/inkling-2-small-vs-unlimited-ocr-2.md (~10,350 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/inkling-2-small-vs-unlimited-ocr-2.json · canonical https://www.anchorterminal.com/compare/inkling-2-small-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: 2026-11-12
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Inkling 2 Small scores 58.8 (C) on agent readiness against Baidu Unlimited-OCR-2's 54.2 (C), and leads in 3 of 4 scored categories. Baidu Unlimited-OCR-2 leads on reach. Both do open-weight models you run yourself.

- Inkling 2 Small: C 58.8, rank #102 of 161 open-weight models · https://www.anchorterminal.com/tools/inkling-2-small.min.md
- Baidu Unlimited-OCR-2: C 54.2, rank #134 of 161 open-weight models · https://www.anchorterminal.com/tools/unlimited-ocr-2.min.md
- Inkling 2 Small, good for Teams with 512 GB or more of datacentre GPU memory who want Thinking Machines' newest open multimodal agent model and can run a runtime's pre-release image. Ahead on Risk, 65 against 45; Agent interface, 85 against 75; Documentation and upkeep, 67 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 40.

| Category | Inkling 2 Small | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 55 |
| Risk (20%) | 65 | 45 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 67 | 50 |

| Fact (where they differ) | Inkling 2 Small | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | 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 | 2026-11-12 | 2026-10-26 |

Why the edge:
- Risk, Inkling 2 Small +20: Inkling 2 Small 65 (File safety 25, safetensors only and no repository code to run.); 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.)
- Documentation and upkeep, Inkling 2 Small +17: Inkling 2 Small 67 (Model card 17 of 20, everything but a dated knowledge 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).)
- Reach, Baidu Unlimited-OCR-2 +15: Inkling 2 Small 40 (Memory 0 of 30, the smallest build is Thinking Machines' NVFP4 checkpoint at 393.5 GB, about 472 GB with a fifth added, above the 256 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.)
- Agent interface, Inkling 2 Small +10: Inkling 2 Small 85 (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.)