# Chandra OCR 2 vs Nanonets-OCR2-3B (slim)

> Chandra OCR 2 scores 54.7 (C) 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/chandra-ocr-2-vs-nanonets-ocr2-3b.md (~3,200 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/chandra-ocr-2-vs-nanonets-ocr2-3b.json · canonical https://www.anchorterminal.com/compare/chandra-ocr-2-vs-nanonets-ocr2-3b
- 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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Chandra OCR 2 scores 54.7 (C) on agent readiness against Nanonets-OCR2-3B's 48.1 (D), and leads in 3 of 4 scored categories. Both do ocr.

- Chandra OCR 2: C 54.7, rank #127 of 160 open-weight models · https://www.anchorterminal.com/tools/chandra-ocr-2.min.md
- Nanonets-OCR2-3B: D 48.1, rank #153 of 160 open-weight models · https://www.anchorterminal.com/tools/nanonets-ocr2-3b.min.md
- Chandra OCR 2, good for Small companies and researchers who need accurate document parsing on their own GPU and fit the licence Ahead on Reach, 65 against 55; Risk, 45 against 40; Documentation and upkeep, 33 against 25.
- Nanonets-OCR2-3B, good for Researchers and teams evaluating page-to-Markdown OCR who can wait for a licence before shipping

| Category | Chandra OCR 2 | Nanonets-OCR2-3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 55 |
| Risk (20%) | 45 | 40 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 33 | 25 |

| Fact (where they differ) | Chandra OCR 2 | Nanonets-OCR2-3B |
| --- | --- | --- |
| Vendor | Endless Labs, Inc. (Datalab) | Nanonets |
| Licence | Modified OpenRAIL-M (free for research, personal use and companies under $2M in revenue and funding) | None stated (the base model, Qwen2.5-VL-3B-Instruct, is under the Qwen Research licence) |
| Last release | 2026-06-26 | 2025-10-16 |
| Terms last updated | not read yet | no document linked |

Why the edge:
- Reach, Chandra OCR 2 +10: Chandra OCR 2 65 (Memory 30, the only build from Datalab is the BF16 safetensors file, 10.59 GB, and 10.59 GB × 1.2 = 12.7 GB, within 16 GB.); 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.)
- Documentation and upkeep, Chandra OCR 2 +8: Chandra OCR 2 33 (Model card 8, Intended use and the languages (over 90) are on the card.); Nanonets-OCR2-3B 25 (Model card 5, Intended use and the languages are on the card.)
- Risk, Chandra OCR 2 +5: Chandra OCR 2 45 (File safety 25, one safetensors file, no .bin, .pt or .pth files and no Python in the model repository.); Nanonets-OCR2-3B 40 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)