# HunyuanOCR 1.5 vs Nanonets-OCR2-3B (slim)

> HunyuanOCR 1.5 scores 56.6 (C) to Nanonets-OCR2-3B's 48.1 (D) for ocr. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/hunyuanocr-vs-nanonets-ocr2-3b.md (~3,550 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/hunyuanocr-vs-nanonets-ocr2-3b.json · canonical https://www.anchorterminal.com/compare/hunyuanocr-vs-nanonets-ocr2-3b
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

HunyuanOCR 1.5 scores 56.6 (C) on agent readiness against Nanonets-OCR2-3B's 48.1 (D), and leads in every scored category. Both do ocr.

- HunyuanOCR 1.5: C 56.6, rank #114 of 160 open-weight models · https://www.anchorterminal.com/tools/hunyuanocr.min.md
- Nanonets-OCR2-3B: D 48.1, rank #153 of 160 open-weight models · https://www.anchorterminal.com/tools/nanonets-ocr2-3b.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 Reach, 60 against 55; Risk, 45 against 40; Agent interface, 80 against 70; Documentation and upkeep, 48 against 25.
- Nanonets-OCR2-3B, good for Researchers and teams evaluating page-to-Markdown OCR who can wait for a licence before shipping

| Category | HunyuanOCR 1.5 | Nanonets-OCR2-3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 55 |
| Risk (20%) | 45 | 40 |
| Agent interface (10%) | 80 | 70 |
| Documentation and upkeep (10%) | 48 | 25 |

| Fact (where they differ) | HunyuanOCR 1.5 | Nanonets-OCR2-3B |
| --- | --- | --- |
| Vendor | Tencent (Hy team) | Nanonets |
| Licence | Tencent Hunyuan Community License (not licensed in the EU, the UK or South Korea) | None stated (the base model, Qwen2.5-VL-3B-Instruct, is under the Qwen Research licence) |
| Last release | 2026-08-28 | 2025-10-16 |
| Terms last updated | not read yet | no document linked |

Why the edge:
- Documentation and upkeep, HunyuanOCR 1.5 +23: 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.); Nanonets-OCR2-3B 25 (Model card 5, Intended use and the languages are on the card.)
- Agent interface, HunyuanOCR 1.5 +10: HunyuanOCR 1.5 80 (Chat template 20, chat_template.jinja in the repository (930 characters).); Nanonets-OCR2-3B 70 (Chat template 20, chat_template.jinja in the repository (1,017 characters), Qwen's ChatML format with image placeholders.)
- Reach, HunyuanOCR 1.5 +5: 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.); Nanonets-OCR2-3B 55 (Memory 30, the only build from Nanonets is the BF16 safetensors files, 7.51 GB, and 7.51 GB × 1.2 = 9.0 GB, within 16 GB.)
- Risk, HunyuanOCR 1.5 +5: HunyuanOCR 1.5 45 (File safety 25, safetensors only, no .bin, .pt or .pth files, and no Python at the root.); Nanonets-OCR2-3B 40 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)