PyyanThe AI Index

Pyyan / Compare / Qwen3.8-27B vs MiMo-V2.6-Flash

Qwen3.8-27B vs MiMo-V2.6-Flash

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Open-Weight Models · verified 29 Sept 2026

Qwen3.8-27BAlibabacurrent
XMiMo-V2.6-FlashXiaomicurrent
3 slots left
SpecificationQwen3.8-27BMiMo-V2.6-Flash
Summary27B dense under Apache 2.0, and nearly five million downloads.The small one, and still multimodal.
Context262K native, ~1M extended1M
Input ($/Mtok)Weights onlyWeights only
Output ($/Mtok)Weights onlyWeights only
LicenceApache 2.0MIT
Max output32KNot published
Parameters27B dense309B total, 15B active
Released5 Aug 202621 Sep 2026
Model IDQwen/Qwen3.8-27BXiaomiMiMo/MiMo-V2.6-Flash
CategoryOpen-Weight ModelsOpen-Weight Models
Official—Xiaomi ↗

Highlighted rows are where these differ.

Qwen3.8-27B

  • 27B dense rather than a mixture of experts, so it behaves predictably on one machine
  • Apache 2.0, weights only, no hosted price
  • One of the most downloaded models on Hugging Face, with quantised builds everywhere

Best for running locally.

Full spec sheet →

MiMo-V2.6-Flash

  • 309B total parameters, 15B active per token
  • Same 1M context and five layer speculative decoder as Pro
  • MIT licence, weights on Hugging Face

Best for multimodal work on your own cluster.

Full spec sheet →