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

> Muse Glimmer 30B scores 70 (BB) to LFM3-Omni-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-omni-2b-vs-muse-glimmer-30b.md (~9,700 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-muse-glimmer-30b.json · canonical https://www.anchorterminal.com/compare/lfm3-omni-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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Muse Glimmer 30B scores 70 (BB) on agent readiness against LFM3-Omni-2B's 61 (C), and leads in every scored category. Both do open-weight models you run yourself.

- LFM3-Omni-2B: C 61, rank #71 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-omni-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-Omni-2B, good for Voice and camera agents on a laptop or phone that want one small model for hearing, seeing, speaking and calling tools
- 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; Agent interface, 75 against 70; Documentation and upkeep, 65 against 49. Also Agent-ready, a grade of BB or better.

| Category | LFM3-Omni-2B | Muse Glimmer 30B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 90 |
| Risk (20%) | 40 | 80 |
| Agent interface (10%) | 70 | 75 |
| Documentation and upkeep (10%) | 49 | 65 |

| Fact (where they differ) | LFM3-Omni-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-Omni-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 +16: LFM3-Omni-2B 49 (Model card 14, Intended use (one on-device model in place of separate speech recognition, vision, language and speech models), architecture, parameters (2.17B)…); 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-Omni-2B 80 (Memory 30, Liquid's Q4_K_M GGUF is 1.10 GB with its 0.29 GB projector file, and 1.39 GB × 1.2 = 1.7 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, Muse Glimmer 30B +5: LFM3-Omni-2B 70 (Chat template 20, chat_template.jinja in the repository (13,513 characters), with roles, images, video and audio, tools, deferred tools and tool results.); Muse Glimmer 30B 75 (Chat template 20, a Jinja file in the repository.)