# LFM3-Omni-2B vs Nemotron 3 Ultra 550B A55B (slim)

> Nemotron 3 Ultra 550B A55B scores 69.3 (B) to LFM3-Omni-2B'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/lfm3-omni-2b-vs-nemotron-3-ultra-550b-a55b.md (~10,300 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-nemotron-3-ultra-550b-a55b.json · canonical https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-nemotron-3-ultra-550b-a55b
- 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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Nemotron 3 Ultra 550B A55B scores 69.3 (B) on agent readiness against LFM3-Omni-2B's 61 (C), and leads in 3 of 4 scored categories. LFM3-Omni-2B leads on reach. Both do open-weight models you run yourself.

- LFM3-Omni-2B: C 61, rank #71 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-omni-2b.min.md
- Nemotron 3 Ultra 550B A55B: B 69.3, rank #9 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-ultra-550b-a55b.min.md
- LFM3-Omni-2B, good for Voice and camera agents on a laptop or phone that want one small model for hearing, seeing, speaking and calling tools Ahead on Reach, 80 against 55.
- Nemotron 3 Ultra 550B A55B, good for Agents with a multi-GPU Blackwell or Hopper node, or using a hosted endpoint, that want NVIDIA's strongest open model for long agent runs Ahead on Risk, 70 against 40; Agent interface, 90 against 70; Documentation and upkeep, 70 against 49.

| Category | LFM3-Omni-2B | Nemotron 3 Ultra 550B A55B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 55 |
| Risk (20%) | 40 | 70 |
| Agent interface (10%) | 70 | 90 |
| Documentation and upkeep (10%) | 49 | 70 |

| Fact (where they differ) | LFM3-Omni-2B | Nemotron 3 Ultra 550B A55B |
| --- | --- | --- |
| Vendor | Liquid AI | NVIDIA |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | OpenMDW-1.1 |
| llms.txt | yes | no |
| Last release | 2026-11-03 | 2026-06-04 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Risk, Nemotron 3 Ultra 550B A55B +30: LFM3-Omni-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); Nemotron 3 Ultra 550B A55B 70 (File safety earns 15, safetensors only but with 10 off because the documented commands pass trust-remote-code and the repository ships Python files.)
- Reach, LFM3-Omni-2B +25: LFM3-Omni-2B 80 (Memory 30, Liquid's Q4_K_M GGUF is 1.10 GB with its 0.29 GB projector file, and 1.39 GB × 1.2 = 1.7 GB, which fits 8 GB, well inside the 16 GB line.); Nemotron 3 Ultra 550B A55B 55 (Memory earns 0, because the smallest 4-bit build, NVIDIA's 352 GB NVFP4, needs about 423 GB with the fifth added, above the 256 GB band, and no runtime library…)
- Documentation and upkeep, Nemotron 3 Ultra 550B A55B +21: LFM3-Omni-2B 49 (Model card 14, Intended use (one on-device model in place of separate speech recognition, vision, language and speech models), architecture, parameters (2.17B)…); Nemotron 3 Ultra 550B A55B 70 (The model card earns 20, all seven items with limitations in the linked subcard.)
- Agent interface, Nemotron 3 Ultra 550B A55B +20: LFM3-Omni-2B 70 (Chat template 20, chat_template.jinja in the repository (13,513 characters), with roles, images, video and audio, tools, deferred tools and tool results.); Nemotron 3 Ultra 550B A55B 90 (The chat template earns 20, a Jinja file in the repository.)