# Kimi K3.1 Pro vs LFM3-1.7B (slim)

> LFM3-1.7B scores 61 (C) to Kimi K3.1 Pro's 48.6 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-lfm3-1-7b.md (~9,150 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-lfm3-1-7b.json · canonical https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-lfm3-1-7b
- 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)

LFM3-1.7B scores 61 (C) on agent readiness against Kimi K3.1 Pro's 48.6 (D), and leads in 3 of 4 scored categories. Kimi K3.1 Pro leads on risk. Both do open-weight models you run yourself.

- Kimi K3.1 Pro: D 48.6, rank #151 of 160 open-weight models · https://www.anchorterminal.com/tools/kimi-k3-1-pro.min.md
- LFM3-1.7B: C 61, rank #69 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-1-7b.min.md
- Kimi K3.1 Pro, good for Operators with a multi-accelerator node who want Moonshot's newest open-weight model for coding and long agent sessions, and everyone else through an API Ahead on Risk, 50 against 40.
- 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 40; Agent interface, 100 against 65; Documentation and upkeep, 67 against 51.

| Category | Kimi K3.1 Pro | LFM3-1.7B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 85 |
| Risk (20%) | 50 | 40 |
| Agent interface (10%) | 65 | 100 |
| Documentation and upkeep (10%) | 51 | 67 |

| Fact (where they differ) | Kimi K3.1 Pro | LFM3-1.7B |
| --- | --- | --- |
| Vendor | Moonshot AI | Liquid AI |
| Licence | Kimi K3.1 Pro License (modified MIT) | LFM Open License v1.0 (free commercial use below $10M annual revenue) |
| llms.txt | no | yes |
| Last release | 2026-11-05 | 2026-11-09 |

Why the edge:
- Reach, LFM3-1.7B +45: Kimi K3.1 Pro 40 (Memory 0, the only build is Moonshot's 1,561 GB MXFP4 release, far above 256 GB.); 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.)
- Agent interface, LFM3-1.7B +35: Kimi K3.1 Pro 65 (Chat template 10, the format is only code to run.); 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.)
- Documentation and upkeep, LFM3-1.7B +16: Kimi K3.1 Pro 51 (Model card 11, no limitations, languages or cut-off.); 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…)
- Risk, Kimi K3.1 Pro +10: Kimi K3.1 Pro 50 (File safety 15, safetensors only, less 10 for remote code and prompts built by the repository's script.); LFM3-1.7B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)