PyyanThe AI Index

Pyyan / Compare / Muse Glimmer vs MiMo-V2.6-Pro

Muse Glimmer vs MiMo-V2.6-Pro

2 of 5

Open-Weight Models · verified 29 Sept 2026

Muse GlimmerMetacurrent
XMiMo-V2.6-ProXiaomicurrent
3 slots left
SpecificationMuse GlimmerMiMo-V2.6-Pro
SummaryMeta's open one. 29.6B dense, Apache 2.0, no published price.A trillion parameters under the MIT licence.
Context131K1M
Input ($/Mtok)Weights onlyWeights only
Output ($/Mtok)Weights onlyWeights only
LicenceApache 2.0MIT
Max output16KNot published
Parameters29.6B dense1.02T total, 42B active
Released10 Aug 202621 Sep 2026
Model IDmeta/muse-glimmerXiaomiMiMo/MiMo-V2.6-Pro
CategoryOpen-Weight ModelsOpen-Weight Models
Official—Xiaomi ↗

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 →

MiMo-V2.6-Pro

  • 1.02T total parameters, 42B active per token, a 4.1% activation ratio
  • Text, image, video and audio in, with a 1M token context
  • Shipped with 7,000+ reinforcement learning environments and the framework that trained it

Best for multimodal work on your own cluster.

Full spec sheet →