# Surya OCR 2.5 vs Xiaomi-OCR-0 (slim)

> Surya OCR 2.5 scores 61 (C) to Xiaomi-OCR-0's 59 (C) for ocr. Prices, MCP, x402, uptime and agent notes side by side.

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- 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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Surya OCR 2.5 scores 61 (C) on agent readiness against Xiaomi-OCR-0's 59 (C), and leads in 1 of 4 scored categories. Xiaomi-OCR-0 leads on risk and documentation and upkeep. Both do ocr.

- Surya OCR 2.5: C 61, rank #82 of 160 open-weight models · https://www.anchorterminal.com/tools/surya-ocr-2-5.min.md
- Xiaomi-OCR-0: C 59, rank #101 of 160 open-weight models · https://www.anchorterminal.com/tools/xiaomi-ocr-0.min.md
- Surya OCR 2.5, good for Small companies and researchers who need quick OCR with layout on a laptop or a small GPU and fit the licence Ahead on Reach, 90 against 80.
- Xiaomi-OCR-0, good for Agents and pipelines on modest hardware that need local OCR of scanned or photographed pages, receipts and forms into Markdown or JSON Ahead on Risk, 65 against 45; Documentation and upkeep, 65 against 57.

| Category | Surya OCR 2.5 | Xiaomi-OCR-0 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 80 |
| Risk (20%) | 45 | 65 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 57 | 65 |

| Fact (where they differ) | Surya OCR 2.5 | Xiaomi-OCR-0 |
| --- | --- | --- |
| Vendor | Endless Labs, Inc. (Datalab) | Xiaomi |
| Licence | Modified OpenRAIL-M (free for research, personal use and companies under $5M in revenue and funding) | Apache-2.0 (card metadata and card text; the Hugging Face repository has no LICENSE file, and the GitHub code repository's LICENSE is the Apache 2.0 text, copyright 2026 Xiaomi Corporation) |
| Last release | 2026-10-29 | 2026-09-29 |
| Terms last updated | not read yet | no document linked |

Why the edge:
- Risk, Xiaomi-OCR-0 +20: Surya OCR 2.5 45 (File safety 25, safetensors and GGUF only, no .bin, .pt or .pth files and no Python in the model repository.); Xiaomi-OCR-0 65 (File safety gets 25, one safetensors file with no Python in the repository and native loading everywhere.)
- Reach, Surya OCR 2.5 +10: Surya OCR 2.5 90 (Memory 30, Datalab's own Q8_0 GGUF is 0.63 GB with a 0.21 GB projector, and 0.84 GB × 1.2 = 1.0 GB, within 16 GB.); Xiaomi-OCR-0 80 (Memory earns the full 30, since the only build is a 1.75 GB BF16 file that needs about 2.1 GB with the fifth added.)
- Documentation and upkeep, Xiaomi-OCR-0 +8: Surya OCR 2.5 57 (Model card 17, Intended use, limitations, the architecture (a Qwen 3.5-style vision-language model with separate detection models), parameters (689M), the servi…); Xiaomi-OCR-0 65 (The card covers intended use and parameters and misses limitations, architecture, context length, languages and a cut-off (5).)