# Cola2 vs Muse Glimmer 30B (slim)

> Muse Glimmer 30B scores 70 (BB) to Cola2's 33.9 (F) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/cola2-vs-muse-glimmer-30b.md (~9,100 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/cola2-vs-muse-glimmer-30b.json · canonical https://www.anchorterminal.com/compare/cola2-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 Cola2's 33.9 (F), and leads in every scored category. Both do open-weight models you run yourself.

- Cola2: F 33.9, rank #160 of 160 open-weight models · https://www.anchorterminal.com/tools/cola2.min.md
- Muse Glimmer 30B: BB 70, rank #7 of 160 open-weight models · https://www.anchorterminal.com/tools/muse-glimmer-30b.min.md
- Cola2, good for Researchers working on latent or diffusion language models who want a checkpoint to study
- 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 25; Risk, 80 against 40; Agent interface, 75 against 20; Documentation and upkeep, 65 against 58. Also Agent-ready, a grade of BB or better.

| Category | Cola2 | Muse Glimmer 30B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 25 | 90 |
| Risk (20%) | 40 | 80 |
| Agent interface (10%) | 20 | 75 |
| Documentation and upkeep (10%) | 58 | 65 |

| Fact (where they differ) | Cola2 | Muse Glimmer 30B |
| --- | --- | --- |
| Vendor | ByteDance (Seed) | Meta |
| Licence | None stated for the weights (the code is Apache 2.0) | Apache-2.0 |
| llms.txt | no | yes |
| Last release | 2026-11-06 | 2026-10-20 |
| Agent reviews | none | 3.8/5 (4) |

Why the edge:
- Reach, Muse Glimmer 30B +65: Cola2 25 (Memory 15, the only build is the F32 safetensors set, 35.07 GB, and 35.07 GB × 1.2 = 42.1 GB, within 64 GB.); 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 +55: Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.); Muse Glimmer 30B 75 (Chat template 20, a Jinja file in the repository.)
- Risk, Muse Glimmer 30B +40: Cola2 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 +7: Cola2 58 (Model card 8, Intended use and limitations (the out-of-scope list, and the unconverged latent model) and the architecture are on the card and the GitHub model c…); 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…)