How fast will DeepSeek V4 Flash feel on the MacBook Pro M5 Max 128GB?

DeepSeek V4 Flash on the MacBook Pro M5 Max 128GB

DeepSeek V4 Flash is a 304.18B-parameter mixture-of-experts model (13B active per token). At UD-IQ2_M it needs about 91.7 GB of memory. The MacBook Pro M5 Max 128GB has 96 GB usable, so it fits entirely in memory. Expect about 82 tokens/sec (48–116), with the first token after 0.3 s for a short prompt. This estimate is interpolated from benchmarks of similar setups.

Speed by quantization

QuantizationFile sizeMemoryGenerationFirst tokenSource
UD-IQ1_S82.5 GBFits85 tok/s0.3 sDerived
UD-IQ1_M86.9 GBFits84 tok/s0.3 sDerived
UD-IQ2_XXS90.9 GBFits82 tok/s0.3 sDerived
UD-IQ2_M90.9 GBFits82 tok/s0.3 sDerived
UD-Q2_K_XL96.8 GBDoesn't fitWon't run——
UD-IQ3_XXS104.2 GBDoesn't fitWon't run——
UD-IQ3_S116.1 GBDoesn't fitWon't run——
UD-Q3_K_M128.1 GBDoesn't fitWon't run——
UD-Q3_K_XL128.2 GBDoesn't fitWon't run——
UD-IQ4_XS136.7 GBDoesn't fitWon't run——
UD-IQ4_NL136.7 GBDoesn't fitWon't run——
UD-Q4_K_XL155.1 GBDoesn't fitWon't run——
UD-Q8_K_XL161.9 GBDoesn't fitWon't run——

DeepSeek V4 Flash on other hardware

Other models on the MacBook Pro M5 Max 128GB

All models on the MacBook Pro M5 Max 128GB · DeepSeek V4 Flash on all hardware

Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.