# Cola2 vs Baidu Unlimited-OCR-2 (slim)

> Baidu Unlimited-OCR-2 scores 54.2 (C) to Cola2's 33.9 (F) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/cola2-vs-unlimited-ocr-2.md (~9,500 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/cola2-vs-unlimited-ocr-2.json · canonical https://www.anchorterminal.com/compare/cola2-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
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Baidu Unlimited-OCR-2 scores 54.2 (C) on agent readiness against Cola2's 33.9 (F), and leads in 3 of 4 scored categories. Cola2 leads on documentation and upkeep. Both do open-weight models you run yourself.

- Cola2: F 33.9, rank #160 of 160 open-weight models · https://www.anchorterminal.com/tools/cola2.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
- Cola2, good for Researchers working on latent or diffusion language models who want a checkpoint to study Ahead on Documentation and upkeep, 58 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 25; Risk, 45 against 40; Agent interface, 75 against 20.

| Category | Cola2 | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 25 | 55 |
| Risk (20%) | 40 | 45 |
| Agent interface (10%) | 20 | 75 |
| Documentation and upkeep (10%) | 58 | 50 |

| Fact (where they differ) | Cola2 | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Vendor | ByteDance (Seed) | Baidu |
| Licence | None stated for the weights (the code is 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 +55: Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.); 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.)
- Reach, Baidu Unlimited-OCR-2 +30: Cola2 25 (Memory 15, the only build is the F32 safetensors set, 35.07 GB, and 35.07 GB × 1.2 = 42.1 GB, within 64 GB.); 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.)
- Documentation and upkeep, Cola2 +8: Cola2 58 (Model card 8, Intended use and limitations (the out-of-scope list, and the unconverged latent model) and the architecture are on the card and the GitHub model c…); 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, Baidu Unlimited-OCR-2 +5: Cola2 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.)