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Pyyan / Compare / Muse Glimmer vs Qwen3.8-Flash-Next

Muse Glimmer vs Qwen3.8-Flash-Next

2 of 5

Open-Weight Models · verified 2 Sept 2026

Muse GlimmerMetacurrent
Qwen3.8-Flash-NextAlibabacurrent
3 slots left
SpecificationMuse GlimmerQwen3.8-Flash-Next
SummaryMeta's open one. 29.6B dense, Apache 2.0, no published price.The most downloaded thing on Hugging Face right now, and a stated Qwen4 preview.
Context131K262K native, ~1M extended
Input ($/Mtok)Weights only$0.15
Output ($/Mtok)Weights only$0.47
LicenceApache 2.0Open weights
Max output16K32K
Parameters29.6B dense125B total, 6B active
Released10 Aug 202626 Aug 2026
Model IDmeta/muse-glimmerQwen/Qwen3.8-Flash-Next
CategoryOpen-Weight ModelsOpen-Weight Models
Official——

Highlighted rows are where these differ.

Muse Glimmer

  • 29.6B dense parameters under Apache 2.0
  • 131K native context
  • The open counterpart to Muse Spark 1.2, which is proprietary

Best for a permissive Meta model.

Full spec sheet →

Qwen3.8-Flash-Next

  • 125B total parameters with only 6B active per token
  • Alibaba describes it as a preview of the Qwen4 architecture
  • Top of the Hugging Face trending list, with a GGUF build close behind it

Best for open weights at speed.

Full spec sheet →