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

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

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Open-Weight Models · verified 29 Sept 2026

DeepSeek V4-ProDeepSeekcurrent
XMiMo-V2.6-ProXiaomicurrent
3 slots left
SpecificationDeepSeek V4-ProMiMo-V2.6-Pro
SummaryBest all-round open model of 2026.A trillion parameters under the MIT licence.
Context—1M
Input ($/Mtok)—Weights only
Output ($/Mtok)—Weights only
LicenceMITMIT
Max output—Not published
Parameters—1.02T total, 42B active
Released—21 Sep 2026
Model ID—XiaomiMiMo/MiMo-V2.6-Pro
CategoryOpen-Weight ModelsOpen-Weight Models
OfficialDeepSeek ↗Xiaomi ↗

Highlighted rows are where these differ.

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 →

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 →