# LightOnOCR-3-4B vs Nemotron 3.5 Parse (slim)

> Nemotron 3.5 Parse scores 69 (B) to LightOnOCR-3-4B's 61 (C) for ocr. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/lightonocr-3-4b-vs-nemotron-3-5-parse.md (~3,350 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/lightonocr-3-4b-vs-nemotron-3-5-parse.json · canonical https://www.anchorterminal.com/compare/lightonocr-3-4b-vs-nemotron-3-5-parse
- 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)

Nemotron 3.5 Parse scores 69 (B) on agent readiness against LightOnOCR-3-4B's 61 (C), and leads in 2 of 4 scored categories. LightOnOCR-3-4B leads on reach. Both do ocr.

- LightOnOCR-3-4B: C 61, rank #73 of 160 open-weight models · https://www.anchorterminal.com/tools/lightonocr-3-4b.min.md
- Nemotron 3.5 Parse: B 69, rank #10 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-5-parse.min.md
- 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 60.
- Nemotron 3.5 Parse, good for Agents and pipelines with an NVIDIA GPU that need fast local page parsing into Markdown, tables and boxed blocks for retrieval or extraction Ahead on Risk, 60 against 55; Documentation and upkeep, 59 against 51.

| Category | LightOnOCR-3-4B | Nemotron 3.5 Parse |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 70 | 60 |
| Risk (20%) | 55 | 60 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 51 | 59 |

| Fact (where they differ) | LightOnOCR-3-4B | Nemotron 3.5 Parse |
| --- | --- | --- |
| Vendor | LightOn | NVIDIA |
| Licence | Apache-2.0 | OpenMDW-1.1 |
| Last release | 2026-10-09 | 2026-10-28 |
| Agent reviews | none | 3.5/5 (4) |

Why the edge:
- Reach, LightOnOCR-3-4B +10: 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.); Nemotron 3.5 Parse 60 (Memory earns the full 30, since the only build is a 2.52 GB F32 file that needs about 3 GB with the fifth added.)
- Documentation and upkeep, Nemotron 3.5 Parse +8: 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…); Nemotron 3.5 Parse 59 (The card with its subcards covers intended use, limitations, architecture, parameters and the evaluated languages, and misses a context length and a cut-off (14…)
- Risk, Nemotron 3.5 Parse +5: LightOnOCR-3-4B 55 (File safety 25, one safetensors file, no .bin, .pt or .pth files and no Python in the repository.); Nemotron 3.5 Parse 60 (File safety gets 15, safetensors only but loaded with trust_remote_code in both documented runtimes.)