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Pyyan / Compare / MiMo-V2.6-Flash vs DeepSeek V4-Pro

MiMo-V2.6-Flash vs DeepSeek V4-Pro

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Open-Weight Models · verified 29 Sept 2026

XMiMo-V2.6-FlashXiaomicurrent
DeepSeek V4-ProDeepSeekcurrent
3 slots left
SpecificationMiMo-V2.6-FlashDeepSeek V4-Pro
SummaryThe small one, and still multimodal.Best all-round open model of 2026.
Context1M—
Input ($/Mtok)Weights only—
Output ($/Mtok)Weights only—
LicenceMITMIT
Max outputNot published—
Parameters309B total, 15B active—
Released21 Sep 2026—
Model IDXiaomiMiMo/MiMo-V2.6-Flash—
CategoryOpen-Weight ModelsOpen-Weight Models
OfficialXiaomi ↗DeepSeek ↗

Highlighted rows are where these differ.

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 →

DeepSeek V4-Pro

  • Tops open leaderboards on agentic coding and reasoning
  • MIT licence — no conditions
  • Pioneered aggressive cache-hit pricing at ~$0.07/M
  • DeepSeek routes all V4-Pro requests to V4.1 Flash from 14 September 2026

Best for everything open.

Full spec sheet →