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Mac · Apple Silicon

M1 Max with 64 GB: which local LLMs run?

With 64 GB of unified memory, the M1 Max gives the GPU about 48 GB by default (400 GB/s): enough for models up to about Qwen2.5 72B Instruct.

  • Unified memory64 GB
  • GPU usable~48 GB
  • Bandwidth400 GB/s
  • GPU cores32
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Unified memory is not VRAM: macOS reserves part of it. The limit can be raised with sudo sysctl iogpu.wired_limit_mb=…, at the cost of memory for apps. There is no offload to system RAM — it is the same memory.

CPU cores
10
GPU cores
32
Bandwidth
400 GB/s
Memory configurations
32 GB · 64 GB
Sold in
MacBook Pro 14, MacBook Pro 16, Mac Studio
Released
October 2021

Official specData updated 24 days agoSource: Apple tech specs

What the M1 Max with 64 GB runs

M1 Max · 64 GB · 8K
Mixtral 8x7B InstructQ6_K · 8K~39 GB · 18–26 tok/s estimateExcellent
Qwen3 30B-A3BQ8_0 · 8K~33.2 GB · 36–57 tok/s estimateExcellent
Qwen3 Coder 30B-A3B InstructQ8_0 · 8K~33.2 GB · 36–57 tok/s estimateExcellent
Mistral Small 3.2 24B InstructQ8_0 · 8K~26.4 GB · 10–15 tok/s estimateExcellent
gpt-oss-20bMXFP4 · 8K~12.8 GB · 45–103 tok/s estimateExcellent
Qwen3 14BQ8_0 · 8K~17.3 GB · 16–23 tok/s estimateExcellent
DeepSeek R1 Distill Qwen 14BQ8_0 · 8K~17.6 GB · 15–22 tok/s estimateExcellent
Qwen2.5 14B InstructQ8_0 · 8K~17.6 GB · 15–22 tok/s estimateExcellent
Phi-4 14BQ8_0 · 8K~17.4 GB · 15–22 tok/s estimateExcellent
Mistral Nemo 12B InstructQ8_0 · 8K~14.7 GB · 18–27 tok/s estimateExcellent
Gemma 3 12B ITQ8_0 · 8K~13.9 GB · 19–29 tok/s estimateExcellent
Gemma 2 9B ITQ8_0 · 8K~12.5 GB · 22–34 tok/s estimateExcellent
Qwen3 8BQ8_0 · 8K~10.3 GB · 26–40 tok/s estimateExcellent
Llama 3.1 8B InstructQ8_0 · 8K~10 GB · 27–41 tok/s estimateExcellent
DeepSeek R1 Distill Llama 8BQ8_0 · 8K~10 GB · 27–41 tok/s estimateExcellent
Qwen2.5 7B InstructQ8_0 · 8K~9 GB · 29–44 tok/s estimateExcellent
Mistral 7B Instruct v0.3Q8_0 · 8K~9 GB · 29–45 tok/s estimateExcellent
Gemma 3 4B ITQ8_0 · 8K~5.2 GB · 51–86 tok/s estimateExcellent
Qwen3 4BQ8_0 · 8K~6 GB · 46–76 tok/s estimateExcellent
Phi-4 Mini Instruct 3.8BQ8_0 · 8K~5.8 GB · 49–80 tok/s estimateExcellent
Llama 3.2 3B InstructQ8_0 · 8K~4.9 GB · 57–95 tok/s estimateExcellent
Qwen3 1.7BQ8_0 · 8K~3.5 GB · 87–160 tok/s estimateExcellent
Llama 3.2 1B InstructQ8_0 · 8K~2.3 GB · 142–254 tok/s estimateExcellent
Qwen3 0.6BQ8_0 · 8K~2.3 GB · 144–333 tok/s estimateExcellent
Qwen2.5 72B InstructQ4_K_M · 8K~46.4 GB · 5.5–8 tok/s estimateCompatible
Llama 3.3 70B InstructQ4_K_M · 8K~44.9 GB · 6–8.5 tok/s estimateCompatible
DeepSeek R1 Distill Llama 70BQ4_K_M · 8K~44.9 GB · 6–8.5 tok/s estimateCompatible
Qwen3 32BQ8_0 · 8K~36.8 GB · 7–11 tok/s estimateCompatible
DeepSeek R1 Distill Qwen 32BQ8_0 · 8K~36.8 GB · 7–11 tok/s estimateCompatible
Qwen2.5 32B InstructQ8_0 · 8K~36.8 GB · 7–11 tok/s estimateCompatible
Qwen2.5 Coder 32B InstructQ8_0 · 8K~36.8 GB · 7–11 tok/s estimateCompatible
QwQ 32BQ8_0 · 8K~36.8 GB · 7–11 tok/s estimateCompatible
Gemma 3 27B ITQ8_0 · 8K~30 GB · 8.5–13 tok/s estimateCompatible
Gemma 2 27B ITQ8_0 · 8K~31.4 GB · 8.5–13 tok/s estimateCompatible
Llama 4 Scout 17B-16E InstructQ3_K_M · 8K~55.4 GB · No dataCompatible with limits
DeepSeek R1 (671B)Q8_0 · 8K~699 GB · No dataIncompatible
Qwen3 235B-A22BQ8_0 · 8K~247 GB · No dataIncompatible
gpt-oss-120bMXFP4 · 8K~63 GB · No dataIncompatible

For each model, the highest-precision quantization that runs entirely in fast memory; otherwise the one with the best result. Speeds are ranges; "estimate" unless a benchmark exists for this exact hardware.

EstimateData updated 24 days agoSource: Run LLM Locally engine