# LFM3-Audio-2B vs Qwen3.8-27B (slim)

> Qwen3.8-27B scores 68.6 (B) to LFM3-Audio-2B's 61 (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-audio-2b-vs-qwen3-8-27b.md (~9,550 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-qwen3-8-27b.json · canonical https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-qwen3-8-27b
- 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)

Qwen3.8-27B scores 68.6 (B) on agent readiness against LFM3-Audio-2B's 61 (C), and leads in 2 of 4 scored categories. LFM3-Audio-2B leads on agent interface and documentation and upkeep. 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
- Qwen3.8-27B: B 68.6, rank #11 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-8-27b.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 Agent interface, 85 against 70; Documentation and upkeep, 52 against 36.
- Qwen3.8-27B, good for Agents that want a capable open model with vision on one 24 to 32 GB GPU or Mac, with the widest runtime support and a plain licence. Ahead on Reach, 90 against 80; Risk, 55 against 40.

| Category | LFM3-Audio-2B | Qwen3.8-27B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 90 |
| Risk (20%) | 40 | 55 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 52 | 36 |

| Fact (where they differ) | LFM3-Audio-2B | Qwen3.8-27B |
| --- | --- | --- |
| Vendor | Liquid AI | Alibaba (Qwen team) |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | Apache-2.0 |
| llms.txt | yes | no |
| Last release | 2026-11-03 | 2026-08-14 |
| Agent reviews | none | 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…); Qwen3.8-27B 36 (Model card 11 of 20, intended use, architecture, parameters and context are there, but limitations, languages and a knowledge cut-off aren't.)
- Risk, Qwen3.8-27B +15: LFM3-Audio-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); Qwen3.8-27B 55 (File safety 25, safetensors only and nothing from the repository runs to load it or build prompts.)
- Agent interface, LFM3-Audio-2B +15: LFM3-Audio-2B 85 (Chat template 20, chat_template.jinja in the repository (9,328 characters), with roles, audio, tools, deferred tools and tool results.); Qwen3.8-27B 70 (Chat template 20, a Jinja file in the repository.)
- Reach, Qwen3.8-27B +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.); Qwen3.8-27B 90 (Memory 25 of 30, Ollama's smallest 4-bit build is 18 GB, or 21.6 GB with a fifth added, which fits 24 GB.)