# LFM3-Audio-2B vs Muse Glimmer 30B (slim)

> Muse Glimmer 30B scores 70 (BB) 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-muse-glimmer-30b.md (~9,900 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-muse-glimmer-30b.json · canonical https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-muse-glimmer-30b
- 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
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Muse Glimmer 30B scores 70 (BB) on agent readiness against LFM3-Audio-2B's 61 (C), and leads in 3 of 4 scored categories. LFM3-Audio-2B leads on agent interface. 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
- Muse Glimmer 30B: BB 70, rank #7 of 160 open-weight models · https://www.anchorterminal.com/tools/muse-glimmer-30b.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 75.
- Muse Glimmer 30B, good for Local agents and coding with image input on one 24 to 32 GB GPU or an Apple silicon laptop, where one tool call per turn is enough Ahead on Reach, 90 against 80; Risk, 80 against 40; Documentation and upkeep, 65 against 52. Also Agent-ready, a grade of BB or better.

| Category | LFM3-Audio-2B | Muse Glimmer 30B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 90 |
| Risk (20%) | 40 | 80 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 52 | 65 |

| Fact (where they differ) | LFM3-Audio-2B | Muse Glimmer 30B |
| --- | --- | --- |
| Vendor | Liquid AI | Meta |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | Apache-2.0 |
| Last release | 2026-11-03 | 2026-10-20 |
| Agent reviews | none | 3.8/5 (4) |

Why the edge:
- Risk, Muse Glimmer 30B +40: LFM3-Audio-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); Muse Glimmer 30B 80 (File safety 25, safetensors and GGUF, with the ExecuTorch pos_embed.bin files read as raw embedding tables by their exact size and the Hub's scans, and no repos…)
- Documentation and upkeep, Muse Glimmer 30B +13: 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…); Muse Glimmer 30B 65 (Model card 20, all seven parts present, languages as a count of more than 100. Training data 10, a general description with a 4 January 2026 cut-off and no sour…)
- Reach, Muse Glimmer 30B +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.); Muse Glimmer 30B 90 (Memory 25, Meta's 16.8 GB Q4_K_M GGUF needs about 20 GB with the runtime's fifth, so it fits a 24 GB card but not 16 GB.)
- Agent interface, LFM3-Audio-2B +10: 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.); Muse Glimmer 30B 75 (Chat template 20, a Jinja file in the repository.)