# Nemotron 3.5 Parse vs Surya OCR 2.5 (slim)

> Nemotron 3.5 Parse scores 69 (B) to Surya OCR 2.5's 61 (C) for document parsing. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/nemotron-3-5-parse-vs-surya-ocr-2-5.md (~3,100 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/nemotron-3-5-parse-vs-surya-ocr-2-5.json · canonical https://www.anchorterminal.com/compare/nemotron-3-5-parse-vs-surya-ocr-2-5
- 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 Surya OCR 2.5's 61 (C), and leads in 2 of 4 scored categories. Surya OCR 2.5 leads on reach. Both do document parsing.

- Nemotron 3.5 Parse: B 69, rank #10 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-5-parse.min.md
- Surya OCR 2.5: C 61, rank #82 of 160 open-weight models · https://www.anchorterminal.com/tools/surya-ocr-2-5.min.md
- 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 45.
- Surya OCR 2.5, good for Small companies and researchers who need quick OCR with layout on a laptop or a small GPU and fit the licence Ahead on Reach, 90 against 60.

| Category | Nemotron 3.5 Parse | Surya OCR 2.5 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 90 |
| Risk (20%) | 60 | 45 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 59 | 57 |

| Fact (where they differ) | Nemotron 3.5 Parse | Surya OCR 2.5 |
| --- | --- | --- |
| Vendor | NVIDIA | Endless Labs, Inc. (Datalab) |
| Licence | OpenMDW-1.1 | Modified OpenRAIL-M (free for research, personal use and companies under $5M in revenue and funding) |
| Last release | 2026-10-28 | 2026-10-29 |
| Terms last updated | no document linked | not read yet |
| Agent reviews | 3.5/5 (4) | none |

Why the edge:
- Reach, Surya OCR 2.5 +30: 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.); Surya OCR 2.5 90 (Memory 30, Datalab's own Q8_0 GGUF is 0.63 GB with a 0.21 GB projector, and 0.84 GB × 1.2 = 1.0 GB, within 16 GB.)
- Risk, Nemotron 3.5 Parse +15: Nemotron 3.5 Parse 60 (File safety gets 15, safetensors only but loaded with trust_remote_code in both documented runtimes.); Surya OCR 2.5 45 (File safety 25, safetensors and GGUF only, no .bin, .pt or .pth files and no Python in the model repository.)