# Arete-27B vs LFM2.5-2.6B (slim)

> Arete-27B scores 55.1 (C) to LFM2.5-2.6B's 50.3 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/arete-27b-vs-lfm2-5-2-6b.md (~8,700 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/arete-27b-vs-lfm2-5-2-6b.json · canonical https://www.anchorterminal.com/compare/arete-27b-vs-lfm2-5-2-6b
- 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)

Arete-27B scores 55.1 (C) on agent readiness against LFM2.5-2.6B's 50.3 (D), and leads in 2 of 4 scored categories. LFM2.5-2.6B leads on reach and agent interface. Both do open-weight models you run yourself.

- Arete-27B: C 55.1, rank #123 of 160 open-weight models · https://www.anchorterminal.com/tools/arete-27b.min.md
- LFM2.5-2.6B: D 50.3, rank #146 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm2-5-2-6b.min.md
- Arete-27B, good for Agents that want Qwen3.8-27B's coding and tool use without its handling of politically sensitive topics, on a 24 GB card or a 128 GB machine Ahead on Risk, 55 against 50; Documentation and upkeep, 63 against 57.
- LFM2.5-2.6B, good for Agents that want a small local helper for tool calls, extraction and RAG on a laptop, phone or CPU, at organisations under the licence's revenue threshold Ahead on Reach, 90 against 50; Agent interface, 75 against 60.

| Category | Arete-27B | LFM2.5-2.6B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 90 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 60 | 75 |
| Documentation and upkeep (10%) | 63 | 57 |

| Fact (where they differ) | Arete-27B | LFM2.5-2.6B |
| --- | --- | --- |
| Vendor | Nous Research | Liquid AI |
| Licence | Apache-2.0 | LFM Open License v1.0 (free commercial use below $10M annual revenue) |
| llms.txt | no | yes |
| Last release | 2026-11-06 | 2026-11-03 |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Reach, LFM2.5-2.6B +40: Arete-27B 50 (Memory 10, the only build from Nous Research is the 54.7 GB BF16 release, which needs about 66 GB and fits the reference machine.); LFM2.5-2.6B 90 (Memory earns the full 30, since Liquid's own 4-bit GGUF is 1.59 GB and fits 8 GB with room to spare.)
- Agent interface, LFM2.5-2.6B +15: Arete-27B 60 (Chat template 20, a Jinja file in the repository.); LFM2.5-2.6B 75 (The chat template earns 20 for chat_template.jinja in the repository.)
- Documentation and upkeep, Arete-27B +6: Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.); LFM2.5-2.6B 57 (The model card earns 17, with everything but a knowledge cut-off.)
- Risk, Arete-27B +5: Arete-27B 55 (File safety 25, safetensors only and no remote code.); LFM2.5-2.6B 50 (File safety earns 25, safetensors and GGUF only, and nothing from the repository runs to load it or build prompts.)