# LFM3-1.7B vs Mistral Large 4 (slim)

> LFM3-1.7B scores 61 (C) to Mistral Large 4's 54.6 (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-mistral-large-4.md (~9,200 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/lfm3-1-7b-vs-mistral-large-4.json · canonical https://www.anchorterminal.com/compare/lfm3-1-7b-vs-mistral-large-4
- 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 Mistral Large 4's 54.6 (C), and leads in 3 of 4 scored categories. Mistral Large 4 leads on risk. 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
- Mistral Large 4: C 54.6, rank #128 of 160 open-weight models · https://www.anchorterminal.com/tools/mistral-large-4.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 50; Agent interface, 100 against 95.
- Mistral Large 4, good for Operators with an 8-GPU Blackwell or H200 node who want a frontier-sized open model for coding agents and defensive security, with a hosted twin on Mistral's API. Ahead on Risk, 75 against 40.

| Category | LFM3-1.7B | Mistral Large 4 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 50 |
| Risk (20%) | 40 | 75 |
| Agent interface (10%) | 100 | 95 |
| Documentation and upkeep (10%) | 67 | 64 |

| Fact (where they differ) | LFM3-1.7B | Mistral Large 4 |
| --- | --- | --- |
| Vendor | Liquid AI | Mistral AI |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | Mistral Ecosystem Open-Weight License (modified MIT) |
| llms.txt | yes | no |
| Last release | 2026-11-09 | 2026-10-29 |

Why the edge:
- Reach, LFM3-1.7B +35: 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.); Mistral Large 4 50 (Memory scores 0, since the smallest 4-bit build, Mistral's NVFP4, is 610 GB, about 732 GB with a fifth added, far above 256 GB.)
- Risk, Mistral Large 4 +35: LFM3-1.7B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); Mistral Large 4 75 (File safety scores 25, safetensors only and loaded by Transformers' own code with a Jinja template.)
- Agent interface, LFM3-1.7B +5: 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.); Mistral Large 4 95 (The chat template is in the repository (20).)