# Inkling 2 Small vs Muse Glimmer 30B (slim)

> Muse Glimmer 30B scores 70 (BB) to Inkling 2 Small's 58.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/inkling-2-small-vs-muse-glimmer-30b.md (~9,700 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/inkling-2-small-vs-muse-glimmer-30b.json · canonical https://www.anchorterminal.com/compare/inkling-2-small-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: 2026-11-12
- 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 Inkling 2 Small's 58.8 (C), and leads in 2 of 4 scored categories. Inkling 2 Small leads on agent interface. Both do open-weight models you run yourself.

- Inkling 2 Small: C 58.8, rank #102 of 161 open-weight models · https://www.anchorterminal.com/tools/inkling-2-small.min.md
- Muse Glimmer 30B: BB 70, rank #7 of 161 open-weight models · https://www.anchorterminal.com/tools/muse-glimmer-30b.min.md
- Inkling 2 Small, good for Teams with 512 GB or more of datacentre GPU memory who want Thinking Machines' newest open multimodal agent model and can run a runtime's pre-release image. 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 40; Risk, 80 against 65. Also Agent-ready, a grade of BB or better.

| Category | Inkling 2 Small | Muse Glimmer 30B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 90 |
| Risk (20%) | 65 | 80 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 67 | 65 |

| Fact (where they differ) | Inkling 2 Small | Muse Glimmer 30B |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | Meta |
| llms.txt | no | yes |
| Last release | 2026-11-12 | 2026-10-20 |
| Agent reviews | none | 3.8/5 (4) |

Why the edge:
- Reach, Muse Glimmer 30B +50: Inkling 2 Small 40 (Memory 0 of 30, the smallest build is Thinking Machines' NVFP4 checkpoint at 393.5 GB, about 472 GB with a fifth added, above the 256 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.)
- Risk, Muse Glimmer 30B +15: Inkling 2 Small 65 (File safety 25, safetensors only and no repository code to run.); 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…)
- Agent interface, Inkling 2 Small +10: Inkling 2 Small 85 (Chat template 20, a Jinja file in the repository.); Muse Glimmer 30B 75 (Chat template 20, a Jinja file in the repository.)