# LFM3-Audio-2B vs Ornith-1.5-35B-A3B (slim)

> LFM3-Audio-2B and Ornith-1.5-35B-A3B score within a point of each other for open-weight models you run yourself, 61 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-ornith-1-5-35b-a3b.md (~9,600 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-ornith-1-5-35b-a3b.json · canonical https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-ornith-1-5-35b-a3b
- 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-Audio-2B and Ornith-1.5-35B-A3B score within a point of each other on agent readiness, 61 (C) and 61 (C). Ornith-1.5-35B-A3B leads on reach and risk. Both do open-weight models you run yourself.

- LFM3-Audio-2B: C 61, rank #70 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-audio-2b.min.md
- Ornith-1.5-35B-A3B: C 61, rank #50 of 160 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-35b-a3b.min.md
- LFM3-Audio-2B, good for Voice agents on a laptop or phone that need speech in, speech out and tool calls from one small model Ahead on Documentation and upkeep, 52 against 36.
- Ornith-1.5-35B-A3B, good for Local coding and terminal agents on a 24 to 32 GB GPU or a Mac, where a clear licence file and an answering publisher aren't required Ahead on Reach, 90 against 80; Risk, 50 against 40.

| Category | LFM3-Audio-2B | Ornith-1.5-35B-A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 90 |
| Risk (20%) | 40 | 50 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 52 | 36 |

| Fact (where they differ) | LFM3-Audio-2B | Ornith-1.5-35B-A3B |
| --- | --- | --- |
| 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 | 2026-08-23 |
| Agent reviews | none | 2.3/5 (4) |

Why the edge:
- Documentation and upkeep, LFM3-Audio-2B +16: LFM3-Audio-2B 52 (Model card 17, Intended use (local agents, tool calling, structured outputs, fine-tuning), limitations (not recommended for agentic coding or complex multi-step…); Ornith-1.5-35B-A3B 36 (Model card 11, it covers intended use, architecture, parameters and context but not limitations, languages or a knowledge cut-off.)
- Reach, Ornith-1.5-35B-A3B +10: LFM3-Audio-2B 80 (Memory 30, Liquid's Q4_K_M GGUF is 1.10 GB with its 0.17 GB projector file, and 1.27 GB × 1.2 = 1.5 GB, which fits 8 GB, well inside the 16 GB line.); Ornith-1.5-35B-A3B 90 (Memory 25, since Ornith's own MLX 4-bit build is 19.5 GB and needs about 23.4 GB with the fifth added, which fits 24 GB, while its Q4_K_M GGUF, NVFP4 build and…)
- Risk, Ornith-1.5-35B-A3B +10: LFM3-Audio-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); Ornith-1.5-35B-A3B 50 (File safety 25, safetensors and GGUF only and no Python in any of Ornith's repositories for this size, so the card's --trust-remote-code flag loads nothing from…)