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

> Nemotron 3 Nano Omni 30B A3B Reasoning and Ornith-1.5-122B score within a point of each other for open-weight models you run yourself, 61.2 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/nemotron-3-nano-omni-30b-a3b-reasoning-vs-ornith-1-5-122b.md (~11,800 tokens) · this version ~980 tokens · JSON https://www.anchorterminal.com/compare/nemotron-3-nano-omni-30b-a3b-reasoning-vs-ornith-1-5-122b.json · canonical https://www.anchorterminal.com/compare/nemotron-3-nano-omni-30b-a3b-reasoning-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 Nano Omni 30B A3B Reasoning and Ornith-1.5-122B score within a point of each other on agent readiness, 61.2 (C) and 61 (C). Both do open-weight models you run yourself.

- Nemotron 3 Nano Omni 30B A3B Reasoning: C 61.2, rank #36 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-nano-omni-30b-a3b-reasoning.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 Omni 30B A3B Reasoning, good for Agents with a 32 to 48 GB NVIDIA GPU that need one local model to read video, audio, documents and screens and call tools Ahead on Reach, 85 against 75; Risk, 60 against 50; Agent interface, 90 against 85; Documentation and upkeep, 70 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 Omni 30B A3B Reasoning | Ornith-1.5-122B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 75 |
| Risk (20%) | 60 | 50 |
| Agent interface (10%) | 90 | 85 |
| Documentation and upkeep (10%) | 70 | 36 |

| Fact (where they differ) | Nemotron 3 Nano Omni 30B A3B Reasoning | Ornith-1.5-122B |
| --- | --- | --- |
| Vendor | NVIDIA | Ornith |
| Licence | NVIDIA Open Model Agreement (custom, commercial use allowed, not an OSI licence) | MIT |
| Last release | 2026-08-24 | 2026-10-24 |
| Terms last updated | no date given | 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 | 3/5 (4) | none |

Why the edge:
- Documentation and upkeep, Nemotron 3 Nano Omni 30B A3B Reasoning +34: Nemotron 3 Nano Omni 30B A3B Reasoning 70 (The card covers all seven fields, reading the 2019 to 2025 data collection period as the cut-off (20).); 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 Omni 30B A3B Reasoning +10: Nemotron 3 Nano Omni 30B A3B Reasoning 85 (Memory earns 20 because the smallest 4-bit builds, Ollama's NVFP4 at 21 GB and NVIDIA's NVFP4 at 22.4 GB, need about 25 to 27 GB with the fifth added, which fit…); 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 Omni 30B A3B Reasoning +10: Nemotron 3 Nano Omni 30B A3B Reasoning 60 (File safety gets 15, safetensors only but loaded with trust_remote_code.); 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 Omni 30B A3B Reasoning +5: Nemotron 3 Nano Omni 30B A3B Reasoning 90 (A Jinja template ships in the repository (20).); Ornith-1.5-122B 85 (Chat template 20, a Jinja file in the repository.)