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DeepSeek-V4-Pro (High, 20260813) vs GLM-5

DeepSeek-V4-Pro (High, 20260813) and GLM-5 are about even on Arena (1451 vs 1446): in a blind vote each wins about half the time.

DeepSeek-V4-Pro (High, 20260813)1451Arena chat · #49 of 416
GLM-51446Arena chat · #60 of 416

Arena scores by category

CategoryDeepSeek-V4-Pro (High, 20260813)GLM-5Ahead
Chat14511446about even
Coding15821436DeepSeek-V4-Pro (High, 20260813)

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)GLM-5
Made bydeepseekzai
Size1598.8 B (75.6 B active)753.9 B (51.8 B active)
4-bit download970 GB458 GB
Use it freedownload and run at home · MIT licensedownload and run at home · MIT license

Speed at home

HardwareDeepSeek-V4-Pro (High, 20260813)GLM-5
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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