M4 Pro vs M4 Max for LLMs: When Does Max Make Sense?
Both M4 Pro and M4 Max power MacBook Pro and Mac Studio configurations. The M4 Max costs significantly more but offers higher memory bandwidth and more GPU cores. For local AI, the question is whether those extras translate to meaningful performance gains, or if M4 Pro is already enough.
Verdict
TieM4 Max delivers 40-60% faster inference than M4 Pro on the same model, thanks to 2x memory bandwidth and more GPU cores. It is worth the upgrade only if you regularly run 30B+ models or need maximum speed. For 7B-14B models, M4 Pro is more than sufficient.
Apple M4 Pro
1
wins
Ties
0
draws
Apple M4 Max
4
wins
Category-by-Category Breakdown
Detailed Analysis
Memory Bandwidth
Apple M4 MaxM4 Max has exactly double the memory bandwidth of M4 Pro. Since LLM inference is memory-bandwidth-bound, this directly translates to faster token generation.
Apple M4 Pro
273 GB/s
Apple M4 Max
546 GB/s
Max RAM
Apple M4 MaxM4 Max supports 128 GB, enabling 70B models that cannot fit on M4 Pro. This is the biggest practical difference for large model users.
Apple M4 Pro
Up to 48 GB
Apple M4 Max
Up to 128 GB
GPU Cores
Apple M4 MaxTwice the GPU cores means faster prompt processing and parallel workloads. The impact on pure token generation is less than memory bandwidth.
Apple M4 Pro
20 GPU cores
Apple M4 Max
40 GPU cores
Price
Apple M4 ProM4 Pro is $1,500+ cheaper. For 7B-14B models, the performance is already excellent, making the extra cost hard to justify.
Apple M4 Pro
Starting around $2,000 (MacBook Pro)
Apple M4 Max
Starting around $3,500 (MacBook Pro)
Speed on 7B Models
Apple M4 MaxM4 Max is faster even on small models, but 30 tok/s from M4 Pro is already real-time for chat. The difference matters more for batch processing.
Apple M4 Pro
~30 tok/s, fast enough
Apple M4 Max
~50 tok/s, noticeably snappier
Frequently Asked Questions
Is M4 Max worth it just for AI workloads?
Can M4 Pro run 70B models?
How much faster is M4 Max for inference?
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