Samprix

What AI can a Mac mini (M5 Pro) with 64 GB run?

A Mac mini (M5 Pro) with 64 GB can give a local model 48 GB of memory. At a 4K context, 42 of the 42 models we track fit entirely on it; the largest is Qwen2.5 72B.

Apple Specs last checked: how
Your computer
Context length
Memory a model can use 48 GB 75% of 64 GB unified memory · source

Models on this machine

  • Model file
  • Context
  • Allowance
  • Your GPU memory

Fits

42
  • Qwen2.5 72B
    Alibaba · Q4_K_M
    Needs 46 GB 2.5 GB spare
    Context up to
    12,215
  • DeepSeek-R1 Distill 70B
    DeepSeek · Q4_K_M
    Needs 42 GB 6.2 GB spare
    Context up to
    24,422
  • Qwen3 32B
    Alibaba · Q8_0
    Needs 34 GB 14 GB spare
    Context up to
    40,960
  • Qwen3 32B
    Alibaba · Q4_K_M
    Needs 20 GB 28 GB spare
    Context up to
    40,960
  • Qwen2.5 32B
    Alibaba · Q4_K_M
    Needs 20 GB 28 GB spare
    Context up to
    32,768
  • DeepSeek-R1 Distill 32B
    DeepSeek · Q4_K_M
    Needs 20 GB 28 GB spare
    Context up to
    118,266
  • Qwen2.5 Coder 32B
    Alibaba · Q4_K_M
    Needs 20 GB 28 GB spare
    Context up to
    32,768
  • Qwen3 14B
    Alibaba · Q8_0
    Needs 16 GB 32 GB spare
    Context up to
    40,960
  • Mistral Small 24B
    Mistral AI · Q4_K_M
    Needs 14 GB 34 GB spare
    Context up to
    32,768
  • Mistral Small 22B
    Mistral AI · Q4_K_M
    Needs 13 GB 35 GB spare
    Context up to
    32,768
  • Qwen3 14B
    Alibaba · Q4_K_M
    Needs 9.8 GB 38 GB spare
    Context up to
    40,960
  • Phi-4 14B
    Microsoft · Q4_K_M
    Needs 9.8 GB 38 GB spare
    Context up to
    16,384
  • Qwen2.5 14B
    Alibaba · Q4_K_M
    Needs 9.6 GB 38 GB spare
    Context up to
    32,768
  • DeepSeek-R1 Distill 14B
    DeepSeek · Q4_K_M
    Needs 9.6 GB 38 GB spare
    Context up to
    131,072
  • Qwen2.5 Coder 14B
    Alibaba · Q4_K_M
    Needs 9.6 GB 38 GB spare
    Context up to
    32,768
  • Qwen3 8B
    Alibaba · Q8_0
    Needs 9.4 GB 39 GB spare
    Context up to
    40,960
  • Phi-3 medium 14B
    Microsoft · Q4_K_M
    Needs 9.3 GB 39 GB spare
    Context up to
    131,072
  • OLMo 2 13B
    Allen Institute for AI · Q4_K_M
    Needs 11 GB 37 GB spare
    Context up to
    4,096
  • Mistral Nemo 12B
    Mistral AI · Q4_K_M
    Needs 8.1 GB 40 GB spare
    Context up to
    131,072
  • Qwen3 8B
    Alibaba · Q4_K_M
    Needs 5.9 GB 42 GB spare
    Context up to
    40,960
  • DeepSeek-R1 0528 8B
    DeepSeek · Q4_K_M
    Needs 5.9 GB 42 GB spare
    Context up to
    131,072
  • DeepSeek-R1 Distill 8B
    DeepSeek · Q4_K_M
    Needs 5.6 GB 42 GB spare
    Context up to
    131,072
  • Dolphin 3.0 8B
    Cognitive Computations · Q4_K_M
    Needs 5.6 GB 42 GB spare
    Context up to
    131,072
  • Qwen2.5 7B
    Alibaba · Q4_K_M
    Needs 5.1 GB 43 GB spare
    Context up to
    32,768
  • Qwen2.5 Coder 7B
    Alibaba · Q4_K_M
    Needs 5.1 GB 43 GB spare
    Context up to
    32,768
  • DeepSeek-R1 Distill 7B
    DeepSeek · Q4_K_M
    Needs 5.1 GB 43 GB spare
    Context up to
    131,072
  • OLMo 2 7B
    Allen Institute for AI · Q4_K_M
    Needs 6.7 GB 41 GB spare
    Context up to
    4,096
  • Mistral 7B
    Mistral AI · Q4_K_M
    Needs 5.1 GB 43 GB spare
    Context up to
    32,768
  • Qwen3 4B
    Alibaba · Q4_K_M
    Needs 3.5 GB 45 GB spare
    Context up to
    40,960
  • Phi-4 mini 3.8B
    Microsoft · Q4_K_M
    Needs 3.3 GB 45 GB spare
    Context up to
    131,072
  • Phi-3 mini 3.8B
    Microsoft · Q4_K_M
    Needs 4.2 GB 44 GB spare
    Context up to
    4,096
  • Qwen2.5 3B
    Alibaba · Q4_K_M
    Needs 2.4 GB 46 GB spare
    Context up to
    32,768
  • Qwen2.5 Coder 3B
    Alibaba · Q4_K_M
    Needs 2.4 GB 46 GB spare
    Context up to
    32,768
  • Qwen3 1.7B
    Alibaba · Q4_K_M
    Needs 2.2 GB 46 GB spare
    Context up to
    40,960
  • DeepSeek-R1 Distill 1.5B
    DeepSeek · Q4_K_M
    Needs 1.6 GB 46 GB spare
    Context up to
    131,072
  • SmolLM2 1.7B
    Hugging Face · Q4_K_M
    Needs 2.3 GB 46 GB spare
    Context up to
    8,192
  • Qwen2.5 1.5B
    Alibaba · Q4_K_M
    Needs 1.5 GB 46 GB spare
    Context up to
    32,768
  • Qwen2.5 Coder 1.5B
    Alibaba · Q4_K_M
    Needs 1.5 GB 46 GB spare
    Context up to
    32,768
  • TinyLlama 1.1B
    TinyLlama · Q4_K_M
    Needs 1.2 GB 47 GB spare
    Context up to
    2,048
  • Qwen3 0.6B
    Alibaba · Q4_K_M
    Needs 1.4 GB 47 GB spare
    Context up to
    40,960
  • Qwen2.5 0.5B
    Alibaba · Q4_K_M
    Needs 0.9 GB 47 GB spare
    Context up to
    32,768
  • SmolLM2 360M
    Hugging Face · Q4_K_M
    Needs 0.9 GB 47 GB spare
    Context up to
    8,192
Memory needed = model file + context + a 0.5 GB allowance (our estimate). See methodology.

Frequently asked questions

What’s the biggest AI model a Mac mini (M5 Pro) with 64 GB can run?

Qwen2.5 72B (Q4_K_M, a 47 GB download) is the largest of the 42 models we track that fits entirely in the 48 GB a Mac mini (M5 Pro) with 64 GB can give a model at a 4K context, with 2.5 GB to spare and room for up to 12,215 tokens of context.

How much memory can a Mac mini (M5 Pro) with 64 GB give an AI model?

About 48 GB: 75% of its 64 GB of unified memory, because macOS and your other apps share the same memory. The 64 GB is from Mac mini tech specs (checked Oct 2, 2026); the 75% is our estimate.

How fast will local AI run on a Mac mini (M5 Pro) with 64 GB?

Hardware makers and model publishers don’t publish tokens-per-second figures, so there is no source we could cite. We only show whether a model fits and how much context it leaves room for.

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