# LFM3-1.7B vs Nemotron 3 Super 120B A12B (slim)

> Nemotron 3 Super 120B A12B scores 66.7 (B) to LFM3-1.7B'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/lfm3-1-7b-vs-nemotron-3-super-120b-a12b.md (~9,800 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/lfm3-1-7b-vs-nemotron-3-super-120b-a12b.json · canonical https://www.anchorterminal.com/compare/lfm3-1-7b-vs-nemotron-3-super-120b-a12b
- 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 Super 120B A12B scores 66.7 (B) on agent readiness against LFM3-1.7B's 61 (C), and leads in 2 of 4 scored categories. LFM3-1.7B leads on reach and agent interface. Both do open-weight models you run yourself.

- LFM3-1.7B: C 61, rank #69 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-1-7b.min.md
- Nemotron 3 Super 120B A12B: B 66.7, rank #15 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-super-120b-a12b.min.md
- LFM3-1.7B, good for Agents on a laptop, phone or small server that need tool calling and a long context from a model under 2 GB at 4 bits Ahead on Reach, 85 against 75; Agent interface, 100 against 90.
- Nemotron 3 Super 120B A12B, good for Agents on a 128 GB unified machine or Blackwell GPUs that want a long-context, tool-calling reasoning model with documented training data Ahead on Risk, 65 against 40.

| Category | LFM3-1.7B | Nemotron 3 Super 120B A12B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 75 |
| Risk (20%) | 40 | 65 |
| Agent interface (10%) | 100 | 90 |
| Documentation and upkeep (10%) | 67 | 70 |

| Fact (where they differ) | LFM3-1.7B | Nemotron 3 Super 120B A12B |
| --- | --- | --- |
| Vendor | Liquid AI | NVIDIA |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | NVIDIA Nemotron Open Model License |
| llms.txt | yes | no |
| Last release | 2026-11-09 | 2026-03-11 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Risk, Nemotron 3 Super 120B A12B +25: LFM3-1.7B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); Nemotron 3 Super 120B A12B 65 (File safety earns 15, safetensors only but with 10 off because the documented serving commands pass trust-remote-code and the repository ships model and parser…)
- Reach, LFM3-1.7B +10: LFM3-1.7B 85 (Memory 30, Liquid's Q4_K_M GGUF is 1.10 GB, and 1.10 GB × 1.2 = 1.3 GB, which fits 8 GB, well inside the 16 GB line.); Nemotron 3 Super 120B A12B 75 (Memory earns 10, because the smallest 4-bit build, NVIDIA's 80.3 GB NVFP4, needs about 96 GB with the fifth added, which fits the reference machine but not 64 G…)
- Agent interface, LFM3-1.7B +10: LFM3-1.7B 100 (Chat template 20, chat_template.jinja in the repository (12,129 characters), with roles, tools, deferred tools, tool results and the thinking switch.); Nemotron 3 Super 120B A12B 90 (The chat template earns 20, a Jinja file in the repository.)