# DeepSeek-OCR 2 vs LightOnOCR-3-4B (slim)

> LightOnOCR-3-4B scores 61 (C) to DeepSeek-OCR 2's 49.2 (D) for ocr. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/deepseek-ocr-2-vs-lightonocr-3-4b.md (~3,500 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/deepseek-ocr-2-vs-lightonocr-3-4b.json · canonical https://www.anchorterminal.com/compare/deepseek-ocr-2-vs-lightonocr-3-4b
- 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)

LightOnOCR-3-4B scores 61 (C) on agent readiness against DeepSeek-OCR 2's 49.2 (D), and leads in every scored category. Both do ocr.

- DeepSeek-OCR 2: D 49.2, rank #147 of 160 open-weight models · https://www.anchorterminal.com/tools/deepseek-ocr-2.min.md
- LightOnOCR-3-4B: C 61, rank #73 of 160 open-weight models · https://www.anchorterminal.com/tools/lightonocr-3-4b.min.md
- DeepSeek-OCR 2, good for Teams that want an Apache 2.0 OCR model on a small GPU and already run vLLM
- LightOnOCR-3-4B, good for Agents that need located, labelled document blocks from a model they can use commercially without conditions Ahead on Reach, 70 against 65; Risk, 55 against 50; Agent interface, 70 against 35; Documentation and upkeep, 51 against 22.

| Category | DeepSeek-OCR 2 | LightOnOCR-3-4B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 70 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 35 | 70 |
| Documentation and upkeep (10%) | 22 | 51 |

| Fact (where they differ) | DeepSeek-OCR 2 | LightOnOCR-3-4B |
| --- | --- | --- |
| Vendor | DeepSeek | LightOn |
| Last release | 2026-02-03 | 2026-10-09 |

Why the edge:
- Agent interface, LightOnOCR-3-4B +35: DeepSeek-OCR 2 35 (Chat template 10, no Jinja template in the repository and none in tokenizer_config.json.); LightOnOCR-3-4B 70 (Chat template 20, chat_template.jinja in the repository (7,759 characters), Qwen 3.5's template with thinking off by default.)
- Documentation and upkeep, LightOnOCR-3-4B +29: DeepSeek-OCR 2 22 (Model card 2, Intended use is there, as the two prompts.); LightOnOCR-3-4B 51 (Model card 11, Intended use, a limitation (instructions other than its two prompts are out of distribution), the architecture (Qwen 3.5's) and the size (4B) are…)
- Reach, LightOnOCR-3-4B +5: DeepSeek-OCR 2 65 (Memory 30, the only build from DeepSeek is the BF16 safetensors file, 6.78 GB, and 6.78 GB × 1.2 = 8.1 GB, within 16 GB.); LightOnOCR-3-4B 70 (Memory 30, the only build from LightOn is the BF16 safetensors file, 9.08 GB, and 9.08 GB × 1.2 = 10.9 GB, within 16 GB.)
- Risk, LightOnOCR-3-4B +5: DeepSeek-OCR 2 50 (File safety 15, safetensors only, no .bin, .pt or .pth files (25), less 10 because the card's documented way to load it is trust_remote_code, which runs the rep…); LightOnOCR-3-4B 55 (File safety 25, one safetensors file, no .bin, .pt or .pth files and no Python in the repository.)