# Muse Glimmer 30B vs Ornith-1.5-122B (slim)

> Muse Glimmer 30B scores 70 (BB) to Ornith-1.5-122B's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- 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 Ornith-1.5-122B's 61 (C), and leads in 3 of 4 scored categories. Ornith-1.5-122B leads on agent interface. Both do open-weight models you run yourself.

- Muse Glimmer 30B: BB 70, rank #7 of 160 open-weight models · https://www.anchorterminal.com/tools/muse-glimmer-30b.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
- 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 75; Risk, 80 against 50; Documentation and upkeep, 65 against 36. Also Agent-ready, a grade of BB or better.
- 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 | Muse Glimmer 30B | Ornith-1.5-122B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 75 |
| Risk (20%) | 80 | 50 |
| Agent interface (10%) | 75 | 85 |
| Documentation and upkeep (10%) | 65 | 36 |

| Fact (where they differ) | Muse Glimmer 30B | Ornith-1.5-122B |
| --- | --- | --- |
| Vendor | Meta | Ornith |
| Licence | Apache-2.0 | MIT |
| llms.txt | yes | no |
| Last release | 2026-10-20 | 2026-10-24 |
| Agent reviews | 3.8/5 (4) | none |

Why the edge:
- Risk, Muse Glimmer 30B +30: 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…); Ornith-1.5-122B 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…)
- Documentation and upkeep, Muse Glimmer 30B +29: 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…); 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, Muse Glimmer 30B +15: 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.); 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: Muse Glimmer 30B 75 (Chat template 20, a Jinja file in the repository.); Ornith-1.5-122B 85 (Chat template 20, a Jinja file in the repository.)