# MiniCPM-V 4.7 1B vs Muse Glimmer 30B (slim)

> Muse Glimmer 30B scores 70 (BB) to MiniCPM-V 4.7 1B'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/minicpm-v-4-7-1b-vs-muse-glimmer-30b.md (~10,100 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-muse-glimmer-30b.json · canonical https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-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 MiniCPM-V 4.7 1B's 61 (C), and leads in 3 of 4 scored categories. MiniCPM-V 4.7 1B leads on reach. Both do open-weight models you run yourself.

- MiniCPM-V 4.7 1B: C 61, rank #76 of 160 open-weight models · https://www.anchorterminal.com/tools/minicpm-v-4-7-1b.min.md
- Muse Glimmer 30B: BB 70, rank #7 of 160 open-weight models · https://www.anchorterminal.com/tools/muse-glimmer-30b.min.md
- MiniCPM-V 4.7 1B, good for Agents that need a cheap local model to read screenshots, photos and short video on a phone, a laptop or beside a bigger model Ahead on Reach, 95 against 90.
- 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 Risk, 80 against 55; Agent interface, 75 against 70; Documentation and upkeep, 65 against 48. Also Agent-ready, a grade of BB or better.

| Category | MiniCPM-V 4.7 1B | Muse Glimmer 30B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 90 |
| Risk (20%) | 55 | 80 |
| Agent interface (10%) | 70 | 75 |
| Documentation and upkeep (10%) | 48 | 65 |

| Fact (where they differ) | MiniCPM-V 4.7 1B | Muse Glimmer 30B |
| --- | --- | --- |
| Vendor | OpenBMB | Meta |
| llms.txt | no | yes |
| Last release | 2026-10-30 | 2026-10-20 |
| Agent reviews | none | 3.8/5 (4) |

Why the edge:
- Risk, Muse Glimmer 30B +25: MiniCPM-V 4.7 1B 55 (File safety 25, safetensors in the main repository and the AWQ, GPTQ and int4 builds, GGUF in the GGUF build, with no .bin, .pt, .pth or .py files in the main r…); 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 +17: MiniCPM-V 4.7 1B 48 (Model card 8, Intended use (image, multi-image and video understanding on device), architecture (early visual-token compression inside the vision encoder) and p…); 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, MiniCPM-V 4.7 1B +5: MiniCPM-V 4.7 1B 95 (Memory 30, OpenBMB's own IQ4_XS GGUF is 0.64 GB, 1.54 GB with the 0.90 GB vision projector, and 1.54 GB × 1.2 = 1.9 GB, which fits 16 GB with room to spare.); 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: MiniCPM-V 4.7 1B 70 (Chat template 20, chat_template.jinja in the repository, 7,249 characters.); Muse Glimmer 30B 75 (Chat template 20, a Jinja file in the repository.)