# Gemma 4 26B A4B IT vs Baidu Unlimited-OCR-2 (slim)

> Gemma 4 26B A4B IT scores 72.2 (BB) 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.

- Full: https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-unlimited-ocr-2.md (~7,050 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-unlimited-ocr-2.json · canonical https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-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: 2026-10-27
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Gemma 4 26B A4B IT scores 72.2 (BB) on agent readiness against Baidu Unlimited-OCR-2's 53.5 (D), and leads in every scored category. Both do open-weight models you run yourself.

- Gemma 4 26B A4B IT: BB 72.2, rank #4 of 113 open-weight models · https://www.anchorterminal.com/tools/gemma-4-26b-a4b-it.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
- Gemma 4 26B A4B IT, good for Agents on a 24 GB or larger GPU or Mac that want a fast, permissively licensed tool-calling model with images and long context Ahead on Reach, 90 against 55; Risk, 70 against 45; Agent interface, 85 against 75; Documentation and upkeep, 65 against 45. Also Agent-ready, a grade of BB or better.
- 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

| Category | Gemma 4 26B A4B IT | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 55 |
| Risk (20%) | 70 | 45 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 65 | 45 |

| Fact (where they differ) | Gemma 4 26B A4B IT | Baidu Unlimited-OCR-2 |
| --- | --- | --- |
| Vendor | Google DeepMind | 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 | 2026-07-20 | 2026-10-26 |
| Agent reviews | 3.8/5 (4) | none |