# Ripple-65B Preview vs Baidu Unlimited-OCR-2 (slim)

> Baidu Unlimited-OCR-2 and Ripple-65B Preview score within a point of each other for open-weight models you run yourself, 54.2 and 53.3 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/ripple-65b-preview-vs-unlimited-ocr-2.md (~7,750 tokens) · this version ~1,080 tokens · JSON https://www.anchorterminal.com/compare/ripple-65b-preview-vs-unlimited-ocr-2.json · canonical https://www.anchorterminal.com/compare/ripple-65b-preview-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: 2026-11-04
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Baidu Unlimited-OCR-2 and Ripple-65B Preview score within a point of each other on agent readiness, 54.2 (C) and 53.3 (D). Ripple-65B Preview leads on risk. Both do open-weight models you run yourself.

- Ripple-65B Preview: D 53.3, rank #103 of 121 open-weight models · https://www.anchorterminal.com/tools/ripple-65b-preview.min.md
- Baidu Unlimited-OCR-2: C 54.2, rank #102 of 121 open-weight models · https://www.anchorterminal.com/tools/unlimited-ocr-2.min.md
- Ripple-65B Preview, good for Teams with Blackwell GPUs or a DGX Spark who want an Apache 2.0 coding model to try for terminal and agentic coding work, and can run the publisher's code to serve it. Ahead on Risk, 55 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 Reach, 55 against 45.

| Category | Ripple-65B Preview | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 45 | 55 |
| Risk (20%) | 55 | 45 |
| Agent interface (10%) | 75 | 75 |
| Documentation and upkeep (10%) | 49 | 50 |

| Fact (where they differ) | Ripple-65B Preview | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Vendor | Ricursive Intelligence | 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 | 2026-11-04 | 2026-10-26 |
| Terms last updated | not read yet | no document linked |

Why the edge:
- Reach, Baidu Unlimited-OCR-2 +10: Ripple-65B Preview 45 (Memory 10 of 30, the smallest 4-bit build is Ricursive's NVFP4 at 57.2 GB, 68.7 GB with a fifth added, which is over 64 GB and fits our reference machine. Runtimes 0, no released runtime runs the ricursive architecture with its own code; Ricursive's SGLang plugin and Transformers' remote code don't count. Builds 10, one quantised precision (NVFP4) from Ricursive. Terms 15, Apache 2.0 with nothing added. Download 10, not gated. Hosted 0, Ricursive serves no API, Hugging Face maps no provider, Together AI's page says coming soon, and GMI Cloud's and OpenRouter's pages weren't read.); 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. Runtimes score 0. Released vLLM 0.33.0, SGLang 0.5.23 and Transformers 5.22.1 know the first Unlimited-OCR but not the sparse attention this one adds, Baidu's own routes are remote code in Transformers and a customised SGLang wheel, llama.cpp b12111 has nothing for it, so Ollama has nothing either, and LM Studio couldn't be checked. Builds score 0, as Baidu publishes no quantised build (16 exist, all by others). Terms get 15 for MIT with nothing added. Download gets 10 for an ungated repository, and hosted too 0, with no inference provider mapped and the card's Baidu Cloud line unconfirmed.)
- Risk, Ripple-65B Preview +10: Ripple-65B Preview 55 (File safety 15, safetensors only, less 10 because the documented way to run it loads Ricursive's Python. Provenance 15, the files are in the organisation ricursive.com links to, with a checksum on every file. Safety evaluation 10, Ricursive's own FORTRESS and StrongREJECT results. Agent guidance 0, nothing on prompt injection, refusals or safeguards. Licence risk 15, Apache 2.0. Security programme 0, no way to report a flaw.); 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. Provenance gets 15 for files in Baidu's verified organisation, linked from its GitHub organisation, with hashes for every file. Licence risk keeps 15, since MIT has none of the deductions. Safety evaluation, agent guidance and the security programme score 0, with no safety results, no cautions about use and no security contact found.)