# Nanonets-OCR2-3B vs Surya OCR 2.5 (slim)

> Surya OCR 2.5 scores 61 (C) to Nanonets-OCR2-3B's 48.1 (D) for ocr. Prices, MCP, x402, uptime and agent notes side by side.

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- 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
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Surya OCR 2.5 scores 61 (C) 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
- Surya OCR 2.5: C 61, rank #82 of 160 open-weight models · https://www.anchorterminal.com/tools/surya-ocr-2-5.min.md
- Nanonets-OCR2-3B, good for Researchers and teams evaluating page-to-Markdown OCR who can wait for a licence before shipping
- 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 55; Risk, 45 against 40; Documentation and upkeep, 57 against 25.

| Category | Nanonets-OCR2-3B | Surya OCR 2.5 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 90 |
| Risk (20%) | 40 | 45 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 25 | 57 |

| Fact (where they differ) | Nanonets-OCR2-3B | Surya OCR 2.5 |
| --- | --- | --- |
| Vendor | Nanonets | Endless Labs, Inc. (Datalab) |
| Licence | None stated (the base model, Qwen2.5-VL-3B-Instruct, is under the Qwen Research licence) | Modified OpenRAIL-M (free for research, personal use and companies under $5M in revenue and funding) |
| Last release | 2025-10-16 | 2026-10-29 |
| Terms last updated | no document linked | not read yet |

Why the edge:
- Reach, Surya OCR 2.5 +35: 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.); 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.)
- Documentation and upkeep, Surya OCR 2.5 +32: Nanonets-OCR2-3B 25 (Model card 5, Intended use and the languages are on the card.); Surya OCR 2.5 57 (Model card 17, Intended use, limitations, the architecture (a Qwen 3.5-style vision-language model with separate detection models), parameters (689M), the servi…)
- Risk, Surya OCR 2.5 +5: Nanonets-OCR2-3B 40 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.); 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.)