Mac Mini M4 vs Mac Studio for Local LLMs
Which Mac is the better local-LLM workstation? The answer depends on model size, memory and whether sustained throughput matters more than price. My hands-on comparison covers the Mac Mini M4 and Mac Studio across 1B, 8B and 14B models.
Quick answer
The Mac Mini M4 is the value choice for smaller models and occasional experiments. Mac Studio pulls ahead for larger models, longer contexts and repeated generation, where its higher memory bandwidth and sustained cooling help.
What I measured
I compared generation speed, time to first token and prompt processing on representative 1B, 8B and 14B local models. Treat the results as workload-specific: quantisation, context length and backend settings can change the ranking.
Choosing between them
Choose the Mini when low cost, low power and a compact desk setup are priorities. Choose the Studio when local inference is a daily workload, larger models must stay in memory, or you need steadier performance over long sessions.
Read the full benchmark methodology and results on the canonical Mac Mini M4 vs Mac Studio article.
Top comments (1)
Local LLM benchmarks are most useful when they include the operator constraints: memory pressure, thermals, concurrency, model size, and whether the machine stays pleasant to use during the run.