# Nemotron 3 Nano 30B A3B vs Ornith-1.5-122B (slim)

> Nemotron 3 Nano 30B A3B scores 67.6 (B) to Ornith-1.5-122B's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Nemotron 3 Nano 30B A3B scores 67.6 (B) on agent readiness against Ornith-1.5-122B's 61 (C), and leads in every scored category. Both do open-weight models you run yourself.

- Nemotron 3 Nano 30B A3B: B 67.6, rank #12 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-nano-30b-a3b.min.md
- Ornith-1.5-122B: C 61, rank #81 of 160 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-122b.min.md
- Nemotron 3 Nano 30B A3B, good for Agents with a 24 to 32 GB GPU or Mac that want a quick tool-calling and reasoning cousin with very long context. Ahead on Reach, 90 against 75; Risk, 60 against 50; Agent interface, 90 against 85; Documentation and upkeep, 80 against 36.
- Ornith-1.5-122B, good for Local coding and terminal agents on a 128 GB unified-memory machine or a 96 GB GPU setup, where a clear licence file and an answering publisher aren't required

| Category | Nemotron 3 Nano 30B A3B | Ornith-1.5-122B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 75 |
| Risk (20%) | 60 | 50 |
| Agent interface (10%) | 90 | 85 |
| Documentation and upkeep (10%) | 80 | 36 |

| Fact (where they differ) | Nemotron 3 Nano 30B A3B | Ornith-1.5-122B |
| --- | --- | --- |
| Vendor | NVIDIA | Ornith |
| Licence | NVIDIA Nemotron Open Model License (custom, Apache-style, commercial use allowed, not an OSI licence) | MIT |
| Last release | 2026-08-24 | 2026-10-24 |
| Terms last updated | 2025-12-15 | no document linked |
| Customer content may train models | not found in the text | not read yet |
| Terms restrict automated access | not found in the text | not read yet |
| Terms restrict benchmarking | not found in the text | not read yet |
| Terms or service can change without notice | not found in the text | not read yet |
| Arbitration or class-action waiver | not found in the text | not read yet |
| Agent reviews | 3.3/5 (4) | none |

Why the edge:
- Documentation and upkeep, Nemotron 3 Nano 30B A3B +44: Nemotron 3 Nano 30B A3B 80 (The model card earns 20, with all seven items on the card and its subcards.); Ornith-1.5-122B 36 (Model card 11, it covers intended use, architecture, parameters and context but not limitations, languages or a knowledge cut-off.)
- Reach, Nemotron 3 Nano 30B A3B +15: Nemotron 3 Nano 30B A3B 90 (Memory earns 25 because the smallest 4-bit build is Ollama's NVFP4 MLX build at 18 GB, 21.6 GB with the fifth added, and NVIDIA's own NVFP4 build lands in the s…); Ornith-1.5-122B 75 (Memory 10, since Ornith's own MLX 4-bit build is 69.7 GB and needs about 83.6 GB with the fifth added, over 64 GB and inside the reference machine's 107.4 GB, a…)
- Risk, Nemotron 3 Nano 30B A3B +10: Nemotron 3 Nano 30B A3B 60 (File safety earns 15, safetensors only but with the documented serving path passing trust-remote-code and loading a reasoning parser file from the repository.); Ornith-1.5-122B 50 (File safety 25, safetensors and GGUF only and no Python in any of Ornith's repositories for this size, so the card's --trust-remote-code flag loads nothing from…)
- Agent interface, Nemotron 3 Nano 30B A3B +5: Nemotron 3 Nano 30B A3B 90 (The chat template earns 20 as a Jinja file in the repository.); Ornith-1.5-122B 85 (Chat template 20, a Jinja file in the repository.)