# HunyuanOCR 1.5 vs Surya OCR 2.5 (slim)

> Surya OCR 2.5 scores 61 (C) to HunyuanOCR 1.5's 56.6 (C) for ocr. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/hunyuanocr-vs-surya-ocr-2-5.md (~3,300 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/hunyuanocr-vs-surya-ocr-2-5.json · canonical https://www.anchorterminal.com/compare/hunyuanocr-vs-surya-ocr-2-5
- 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 HunyuanOCR 1.5's 56.6 (C), and leads in 2 of 4 scored categories. HunyuanOCR 1.5 leads on agent interface. Both do ocr.

- HunyuanOCR 1.5: C 56.6, rank #114 of 160 open-weight models · https://www.anchorterminal.com/tools/hunyuanocr.min.md
- Surya OCR 2.5: C 61, rank #82 of 160 open-weight models · https://www.anchorterminal.com/tools/surya-ocr-2-5.min.md
- HunyuanOCR 1.5, good for Teams outside the EU, the UK and South Korea that want one small model for OCR, extraction and image translation Ahead on Agent interface, 80 against 70.
- 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 60; Documentation and upkeep, 57 against 48.

| Category | HunyuanOCR 1.5 | Surya OCR 2.5 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 90 |
| Risk (20%) | 45 | 45 |
| Agent interface (10%) | 80 | 70 |
| Documentation and upkeep (10%) | 48 | 57 |

| Fact (where they differ) | HunyuanOCR 1.5 | Surya OCR 2.5 |
| --- | --- | --- |
| Vendor | Tencent (Hy team) | Endless Labs, Inc. (Datalab) |
| Licence | Tencent Hunyuan Community License (not licensed in the EU, the UK or South Korea) | Modified OpenRAIL-M (free for research, personal use and companies under $5M in revenue and funding) |
| Last release | 2026-08-28 | 2026-10-29 |

Why the edge:
- Reach, Surya OCR 2.5 +30: HunyuanOCR 1.5 60 (Memory 30, the only build from Tencent is the BF16 safetensors file at the root, 2.24 GB, and 2.24 GB × 1.2 = 2.7 GB, within 16 GB.); 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.)
- Agent interface, HunyuanOCR 1.5 +10: HunyuanOCR 1.5 80 (Chat template 20, chat_template.jinja in the repository (930 characters).); Surya OCR 2.5 70 (Chat template 20, chat_template.jinja in the repository (2,872 characters).)
- Documentation and upkeep, Surya OCR 2.5 +9: HunyuanOCR 1.5 48 (Model card 8, Intended use, the architecture by reference to 1.0's unchanged backbone, and the context (128K) are on the card.); 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…)