# Chandra OCR 2 vs HunyuanOCR 1.5 (slim)

> HunyuanOCR 1.5 scores 56.6 (C) to Chandra OCR 2's 54.7 (C) for ocr. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/chandra-ocr-2-vs-hunyuanocr.md (~3,150 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/chandra-ocr-2-vs-hunyuanocr.json · canonical https://www.anchorterminal.com/compare/chandra-ocr-2-vs-hunyuanocr
- 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 Chandra OCR 2's 54.7 (C), and leads in 2 of 4 scored categories. Chandra OCR 2 leads on reach. Both do ocr.

- Chandra OCR 2: C 54.7, rank #127 of 160 open-weight models · https://www.anchorterminal.com/tools/chandra-ocr-2.min.md
- HunyuanOCR 1.5: C 56.6, rank #114 of 160 open-weight models · https://www.anchorterminal.com/tools/hunyuanocr.min.md
- Chandra OCR 2, good for Small companies and researchers who need accurate document parsing on their own GPU and fit the licence Ahead on Reach, 65 against 60.
- 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; Documentation and upkeep, 48 against 33.

| Category | Chandra OCR 2 | HunyuanOCR 1.5 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 60 |
| Risk (20%) | 45 | 45 |
| Agent interface (10%) | 70 | 80 |
| Documentation and upkeep (10%) | 33 | 48 |

| Fact (where they differ) | Chandra OCR 2 | HunyuanOCR 1.5 |
| --- | --- | --- |
| Vendor | Endless Labs, Inc. (Datalab) | Tencent (Hy team) |
| Licence | Modified OpenRAIL-M (free for research, personal use and companies under $2M in revenue and funding) | Tencent Hunyuan Community License (not licensed in the EU, the UK or South Korea) |
| Last release | 2026-06-26 | 2026-08-28 |

Why the edge:
- Documentation and upkeep, HunyuanOCR 1.5 +15: Chandra OCR 2 33 (Model card 8, Intended use and the languages (over 90) are on the card.); 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.)
- Agent interface, HunyuanOCR 1.5 +10: Chandra OCR 2 70 (Chat template 20, chat_template.jinja in the repository (7,622 characters), Qwen 3.5's template, with a copy in tokenizer_config.json.); HunyuanOCR 1.5 80 (Chat template 20, chat_template.jinja in the repository (930 characters).)
- Reach, Chandra OCR 2 +5: Chandra OCR 2 65 (Memory 30, the only build from Datalab is the BF16 safetensors file, 10.59 GB, and 10.59 GB × 1.2 = 12.7 GB, within 16 GB.); 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.)