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DeepSeek-V4-Pro (High, 20260813) vs MiMo-V2.6-Flash

DeepSeek-V4-Pro (High, 20260813) and MiMo-V2.6-Flash are about even on Arena (1451 vs 1455): in a blind vote each wins about half the time.

DeepSeek-V4-Pro (High, 20260813)1451Arena chat · #49 of 416
MiMo-V2.6-Flash1455Arena chat · #45 of 416

Arena scores by category

CategoryDeepSeek-V4-Pro (High, 20260813)MiMo-V2.6-FlashAhead
Chat14511455about even
Coding15821633MiMo-V2.6-Flash

Scores from blind human votes on Arena. A gap under 10 points is too small to call.

Size and where to use them free

DeepSeek-V4-Pro (High, 20260813)MiMo-V2.6-Flash
Made bydeepseekxiaomi
Size1598.8 B (75.6 B active)310.8 B (17.4 B active)
4-bit download970 GB190 GB
Use it freedownload and run at home · MIT licensedownload and run at home · MIT license

Speed at home

HardwareDeepSeek-V4-Pro (High, 20260813)MiMo-V2.6-Flash
RTX 3090does not fitdoes not fit
RTX 4090does not fitdoes not fit
RTX 5090does not fitdoes not fit
RX 7900 XTXdoes not fitdoes not fit
Mac M4 Max 128 GBdoes not fitdoes not fit
Ryzen AI Max+ 395 128 GBdoes not fitdoes not fit

Estimates at 4-bit with an 8K context, 64 GB of system RAM for offload, calibrated on 44 real llama.cpp tests.

Try them yourself

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