Can the MacBook Pro 16" M4 Max run deepseek-v4-flash-0731-spark?

Yes. deepseek-v4-flash-0731-spark fits the MacBook Pro 16" M4 Max's 48 GB at Q4_K_M (about 36.8 GB needed), running at an estimated 8.9 tok/s. There's room for up to Q5_K_M if you want higher quality.

Memory
48 GB
Needs at Q4
36.8 GB
Headroom
11.2 GB
Speed (Q4_K_M)
~8.9 tok/s

Every quantization

deepseek-v4-flash-0731-spark (60.3B) on 48 GB

QuantWeightsNeedsFitEst. speed
Q4_K_M35 GB36.8 GBFits~8.9 tok/s
Q5_K_M43 GB44.8 GBTight~7.3 tok/s
Q8_065 GB66.8 GBToo big -
FP16121 GB122.8 GBToo big -

Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the MacBook Pro 16" M4 Max's 546 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode)). Long contexts need more memory and run slower.

Compare

Same model, other hardware - and other models on this card

deepseek-v4-flash-0731-spark on other hardware

Also runs on the MacBook Pro 16" M4 Max

Frequently asked

Quick answers

Can the Apple MacBook Pro 16" M4 Max run deepseek-v4-flash-0731-spark?

Yes. deepseek-v4-flash-0731-spark fits the MacBook Pro 16" M4 Max's 48 GB at Q4_K_M (about 36.8 GB needed), running at an estimated 8.9 tok/s. There's room for up to Q5_K_M if you want higher quality.

How much VRAM does deepseek-v4-flash-0731-spark need?

About 35 GB of weights at Q4_K_M, 65 GB at Q8_0 and 121 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.

How fast is deepseek-v4-flash-0731-spark on the MacBook Pro 16" M4 Max?

Roughly 8.9 tokens per second at Q4_K_M (single user, llama.cpp-style decode). This is an estimate from the MacBook Pro 16" M4 Max's 546 GB/s memory bandwidth.