# Nanonets-OCR2-3B vs Nemotron 3.5 Parse (slim)

> Nemotron 3.5 Parse scores 69 (B) 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/nanonets-ocr2-3b-vs-nemotron-3-5-parse.md (~3,350 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/nanonets-ocr2-3b-vs-nemotron-3-5-parse.json · canonical https://www.anchorterminal.com/compare/nanonets-ocr2-3b-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 Nanonets-OCR2-3B's 48.1 (D), and leads in 3 of 4 scored categories. Both do ocr.

- Nanonets-OCR2-3B: D 48.1, rank #153 of 160 open-weight models · https://www.anchorterminal.com/tools/nanonets-ocr2-3b.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
- Nanonets-OCR2-3B, good for Researchers and teams evaluating page-to-Markdown OCR who can wait for a licence before shipping
- 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 Reach, 60 against 55; Risk, 60 against 40; Documentation and upkeep, 59 against 25.

| Category | Nanonets-OCR2-3B | Nemotron 3.5 Parse |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 60 |
| Risk (20%) | 40 | 60 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 25 | 59 |

| Fact (where they differ) | Nanonets-OCR2-3B | Nemotron 3.5 Parse |
| --- | --- | --- |
| Vendor | Nanonets | NVIDIA |
| Licence | None stated (the base model, Qwen2.5-VL-3B-Instruct, is under the Qwen Research licence) | OpenMDW-1.1 |
| Last release | 2025-10-16 | 2026-10-28 |
| Agent reviews | none | 3.5/5 (4) |

Why the edge:
- Documentation and upkeep, Nemotron 3.5 Parse +34: Nanonets-OCR2-3B 25 (Model card 5, Intended use and the languages are on the card.); 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 +20: Nanonets-OCR2-3B 40 (File safety 25, safetensors only, 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.)
- Reach, Nemotron 3.5 Parse +5: 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.); 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.)