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DeepSeek-V4.1-Flash-20260910 (Max) vs Kimi K2.5 (Thinking)

DeepSeek-V4.1-Flash-20260910 (Max) is ahead on Arena (1464 vs 1445): in a blind vote people prefer it about 53% of the time.

DeepSeek-V4.1-Flash-20260910 (Max)1464Arena chat · #38 of 417
Kimi K2.5 (Thinking)1445Arena chat · #61 of 417

Arena scores by category

CategoryDeepSeek-V4.1-Flash-20260910 (Max)Kimi K2.5 (Thinking)Ahead
Chat14641445DeepSeek-V4.1-Flash-20260910 (Max)
Coding16181437DeepSeek-V4.1-Flash-20260910 (Max)
Vision12781269about even

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-V4.1-Flash-20260910 (Max)Kimi K2.5 (Thinking)
Made bydeepseekmoonshot
Sizenot public1026.9 B (33.3 B active)
4-bit download—624 GB
Use it freeMIT licensedownload and run at home · Modified MIT license

Speed at home

HardwareDeepSeek-V4.1-Flash-20260910 (Max)Kimi K2.5 (Thinking)
RTX 3090online onlydoes not fit
RTX 4090online onlydoes not fit
RTX 5090online onlydoes not fit
RX 7900 XTXonline onlydoes not fit
Mac M4 Max 128 GBonline onlydoes not fit
Ryzen AI Max+ 395 128 GBonline onlydoes 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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