16 GB: good for 7B-9B Q4, Whisper, and light tools.
Mac AI finder
Which Mac is actually enough for local AI?
Estimate memory needs, context length, and workflow pressure. Then jump straight to Mac recommendations that fit.
Rules of thumb for Mac AI
24 GB: useful for 13B, coding checks, and longer prompts.
48 GB: sweet spot for 30B Q4 and serious local work.
64-128 GB+: for 70B, very long context, and heavy multimodal work.
Decision
Choose by task
The best Mac depends on more than the model: code, long documents, speech, and image workflows stress memory differently.
Large coding agents, repository context, and tool calls.
Balanced 24 GB+ Coding LLM (32B class)Local code models for patches, reviews, and CLI checks.
Context 24-48 GB Long documents (128K context)PDFs, source bundles, and long contexts without constant trimming.
Vision 16 GB+ Image analysisImage analysis, screenshots, OCR, and light multimodality.
Audio 8-16 GB Speech to text (Whisper)Local transcription, fast and without cloud upload.
Daily 16-24 GB All-round on the goMobile mix of chat, coding, research, and media.