# LFM2.5-2.6B vs Ornith-1.5-122B (slim)

> Ornith-1.5-122B scores 61 (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/lfm2-5-2-6b-vs-ornith-1-5-122b.md (~9,150 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-ornith-1-5-122b.json · canonical https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-ornith-1-5-122b
- 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)

Ornith-1.5-122B scores 61 (C) on agent readiness against LFM2.5-2.6B's 50.3 (D), and leads in 1 of 4 scored categories. LFM2.5-2.6B leads on reach and documentation and upkeep. Both do open-weight models you run yourself.

- 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
- Ornith-1.5-122B: C 61, rank #81 of 160 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-122b.min.md
- 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 75; Documentation and upkeep, 57 against 36.
- Ornith-1.5-122B, good for Local coding and terminal agents on a 128 GB unified-memory machine or a 96 GB GPU setup, where a clear licence file and an answering publisher aren't required Ahead on Agent interface, 85 against 75.

| Category | LFM2.5-2.6B | Ornith-1.5-122B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 75 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 75 | 85 |
| Documentation and upkeep (10%) | 57 | 36 |

| Fact (where they differ) | LFM2.5-2.6B | Ornith-1.5-122B |
| --- | --- | --- |
| Vendor | Liquid AI | Ornith |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | MIT |
| llms.txt | yes | no |
| Last release | 2026-11-03 | 2026-10-24 |
| Agent reviews | 2.5/5 (4) | none |

Why the edge:
- Documentation and upkeep, LFM2.5-2.6B +21: LFM2.5-2.6B 57 (The model card earns 17, with everything but a knowledge cut-off.); Ornith-1.5-122B 36 (Model card 11, it covers intended use, architecture, parameters and context but not limitations, languages or a knowledge cut-off.)
- Reach, LFM2.5-2.6B +15: 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.); Ornith-1.5-122B 75 (Memory 10, since Ornith's own MLX 4-bit build is 69.7 GB and needs about 83.6 GB with the fifth added, over 64 GB and inside the reference machine's 107.4 GB, a…)
- Agent interface, Ornith-1.5-122B +10: LFM2.5-2.6B 75 (The chat template earns 20 for chat_template.jinja in the repository.); Ornith-1.5-122B 85 (Chat template 20, a Jinja file in the repository.)