# LFM3-1.7B vs MiniCPM5-2B (slim)

> LFM3-1.7B scores 61 (C) to MiniCPM5-2B's 59.7 (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-minicpm5-2b.md (~8,750 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/lfm3-1-7b-vs-minicpm5-2b.json · canonical https://www.anchorterminal.com/compare/lfm3-1-7b-vs-minicpm5-2b
- 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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LFM3-1.7B scores 61 (C) on agent readiness against MiniCPM5-2B's 59.7 (C), and leads in 1 of 4 scored categories. MiniCPM5-2B leads on reach, risk and documentation and upkeep. Both do open-weight models you run yourself.

- LFM3-1.7B: C 61, rank #63 of 135 open-weight models · https://www.anchorterminal.com/tools/lfm3-1-7b.min.md
- MiniCPM5-2B: C 59.7, rank #78 of 135 open-weight models · https://www.anchorterminal.com/tools/minicpm5-2b.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 75.
- MiniCPM5-2B, good for On-device and laptop agents that want a 2 GB tool-calling helper with long context and open training data Ahead on Reach, 90 against 85; Risk, 55 against 40; Documentation and upkeep, 92 against 67.

| Category | LFM3-1.7B | MiniCPM5-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 90 |
| Risk (20%) | 40 | 55 |
| Agent interface (10%) | 100 | 75 |
| Documentation and upkeep (10%) | 67 | 92 |

| Fact (where they differ) | LFM3-1.7B | MiniCPM5-2B |
| --- | --- | --- |
| Vendor | Liquid AI | OpenBMB |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | Apache-2.0 |
| llms.txt | yes | no |
| Last release | 2026-11-09 | 2026-09-29 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Agent interface, LFM3-1.7B +25: 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.); MiniCPM5-2B 75 (Chat template 20, a Jinja file in the repository.)
- Documentation and upkeep, MiniCPM5-2B +25: 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…); MiniCPM5-2B 92 (Model card 17, everything but a knowledge cut-off.)
- Risk, MiniCPM5-2B +15: LFM3-1.7B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); MiniCPM5-2B 55 (File safety 25, safetensors and GGUF only, and the documented way to load it runs no code from the repository.)
- Reach, MiniCPM5-2B +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.); MiniCPM5-2B 90 (Memory 30, OpenBMB's own MLX 4-bit build is 1.42 GB and its Q4_K_M GGUF 1.56 GB, about 2 GB with the fifth added.)