All models › Compare

deepseek-v4.1-flash-max vs kimi-k2.5-thinking

deepseek-v4.1-flash-max is ahead on Arena (1463 vs 1445): in a blind vote people prefer it about 53% of the time.

deepseek-v4.1-flash-max1463Arena chat · #38 of 416
kimi-k2.5-thinking1445Arena chat · #62 of 416

Arena scores by category

Categorydeepseek-v4.1-flash-maxkimi-k2.5-thinkingAhead
Chat14631445deepseek-v4.1-flash-max
Vision12771269about 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-maxkimi-k2.5-thinking
Made bydeepseekmoonshot
Size763.2 B (228.1 B active)not public
4-bit download464 GB—
Use it freedownload and run at home · MIT licenseModified MIT license

Speed at home

Hardwaredeepseek-v4.1-flash-maxkimi-k2.5-thinking
RTX 3090does not fitonline only
RTX 4090does not fitonline only
RTX 5090does not fitonline only
RX 7900 XTXdoes not fitonline only
Mac M4 Max 128 GBdoes not fitonline only
Ryzen AI Max+ 395 128 GBdoes not fitonline only

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

Ask both the same question side by side in Try & compare, or vote blind between free models in Free Arena.

More comparisons

Share this page:XLinkedInRedditWhatsApp