# Nemotron 3.5 Lightning 30B A3B vs Ornith-1.5-122B (slim)

> Nemotron 3.5 Lightning 30B A3B scores 64.7 (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.

- Full: https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-ornith-1-5-122b.md (~10,600 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-ornith-1-5-122b.json · canonical https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-ornith-1-5-122b
- 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 Lightning 30B A3B scores 64.7 (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 3.5 Lightning 30B A3B: B 64.7, rank #20 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-5-lightning-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 3.5 Lightning 30B A3B, good for Agents on one 24 to 32 GB GPU or Mac that want a fast tool-calling reasoning model with long context and a permissive licence Ahead on Reach, 85 against 75; Risk, 75 against 50; Agent interface, 90 against 85; Documentation and upkeep, 75 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 3.5 Lightning 30B A3B | Ornith-1.5-122B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 75 |
| Risk (20%) | 75 | 50 |
| Agent interface (10%) | 90 | 85 |
| Documentation and upkeep (10%) | 75 | 36 |

| Fact (where they differ) | Nemotron 3.5 Lightning 30B A3B | Ornith-1.5-122B |
| --- | --- | --- |
| Vendor | NVIDIA | Ornith |
| Licence | OpenMDW-1.1 | MIT |
| Last release | 2026-08-11 | 2026-10-24 |
| Agent reviews | 3/5 (4) | none |

Why the edge:
- Documentation and upkeep, Nemotron 3.5 Lightning 30B A3B +39: Nemotron 3.5 Lightning 30B A3B 75 (The model card earns 20, all seven items with limitations in the linked subcard.); 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.)
- Risk, Nemotron 3.5 Lightning 30B A3B +25: Nemotron 3.5 Lightning 30B A3B 75 (File safety earns 25, safetensors only with no Python files, and nothing from the repository runs to load it or parse its output.); 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…)
- Reach, Nemotron 3.5 Lightning 30B A3B +10: Nemotron 3.5 Lightning 30B A3B 85 (Memory earns 25, since ggml-org's 18.9 GB Q4_0 GGUF and Ollama's 19 GB nvfp4 build both need under 24 GB with the fifth added.); 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…)
- Agent interface, Nemotron 3.5 Lightning 30B A3B +5: Nemotron 3.5 Lightning 30B A3B 90 (The chat template earns 20, a Jinja file in the repository.); Ornith-1.5-122B 85 (Chat template 20, a Jinja file in the repository.)