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Muse Glimmer vs Qwen3.8

Muse Glimmer and Qwen3.8 side by side: model sizes, the VRAM you need, context window, abilities, licence and which one to pick.

Side by side

Muse GlimmerQwen3.8
TypeModel in the Meta Muse familyModel in the Qwen family
DeveloperMetaAlibaba Cloud (Qwen team)
ReleasedAug 2026Aug 2026
Parameters30B27B
Sizes30B27B
Smallest VRAM (4-bit)~20.5 GB~20.5 GB
Context window128K tokens256K tokens
AbilitiesTool callingReasoning modeImage inputTool callingReasoning modeImage input
LicenceApache 2.0Apache 2.0
Run itollama run muse-glimmer:30bollama run qwen3.8:27b

Which one should you pick?

  • Qwen3.8 reads longer inputs: a 256K-token context window.

Pick Muse Glimmer if…

    Best for: Local agent model with tools, reasoning and image input

    Pick Qwen3.8 if…

    • you need longer inputs (256K tokens)

    Best for: Flagship local model for coding, agents and vision

    VRAM and download size

    Ollama's default 4-bit builds with an 8K context. Read GB as system RAM on a CPU-only machine or a Mac.

    Muse Glimmer

    ModelDownloadVRAM
    30B18 GB~20.5 GB

    Qwen3.8

    ModelDownloadVRAM
    27B18 GB~20.5 GB

    Frequently asked questions

    Is Muse Glimmer better than Qwen3.8?

    It depends on the job and your hardware. Qwen3.8 reads longer inputs: a 256K-token context window. For quality, test both on your own prompts: benchmark rankings change with every release.

    Which needs less VRAM, Muse Glimmer or Qwen3.8?

    Muse Glimmer starts at ~20.5 GB (18 GB download). Qwen3.8 starts at ~20.5 GB (18 GB download).

    Can I use Muse Glimmer and Qwen3.8 commercially?

    Muse Glimmer: Apache 2.0. Qwen3.8: Apache 2.0. Check the exact licence of the model you deploy; custom licences can limit very large companies or certain uses.

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