# LFM3-1.7B vs Nemotron 3 Nano 30B A3B (slim)

> Nemotron 3 Nano 30B A3B scores 67.6 (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-nano-30b-a3b.md (~10,400 tokens) · this version ~930 tokens · JSON https://www.anchorterminal.com/compare/lfm3-1-7b-vs-nemotron-3-nano-30b-a3b.json · canonical https://www.anchorterminal.com/compare/lfm3-1-7b-vs-nemotron-3-nano-30b-a3b
- 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 30B A3B scores 67.6 (B) on agent readiness against LFM3-1.7B's 61 (C), and leads in 3 of 4 scored categories. LFM3-1.7B leads on 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 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
- 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 Agent interface, 100 against 90.
- 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 85; Risk, 60 against 40; Documentation and upkeep, 80 against 67.

| Category | LFM3-1.7B | Nemotron 3 Nano 30B A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 90 |
| Risk (20%) | 40 | 60 |
| Agent interface (10%) | 100 | 90 |
| Documentation and upkeep (10%) | 67 | 80 |

| Fact (where they differ) | LFM3-1.7B | Nemotron 3 Nano 30B A3B |
| --- | --- | --- |
| Vendor | Liquid AI | NVIDIA |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | NVIDIA Nemotron Open Model License (custom, Apache-style, commercial use allowed, not an OSI licence) |
| llms.txt | yes | no |
| Last release | 2026-11-09 | 2026-08-24 |
| Terms last updated | no document linked | 2025-12-15 |
| Customer content may train models | not read yet | not found in the text |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | not found in the text |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Agent reviews | none | 3.3/5 (4) |

Why the edge:
- Risk, Nemotron 3 Nano 30B A3B +20: LFM3-1.7B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); 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.)
- Documentation and upkeep, Nemotron 3 Nano 30B A3B +13: LFM3-1.7B 67 (Model card 17, Intended use (local agents, tool calling, structured outputs, fine-tuning), a limitation (not recommended for agentic coding or complex multi-ste…); Nemotron 3 Nano 30B A3B 80 (The model card earns 20, with all seven items on the card and its subcards.)
- 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 Nano 30B A3B 90 (The chat template earns 20 as a Jinja file in the repository.)
- Reach, Nemotron 3 Nano 30B A3B +5: 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 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…)