What can MacBook Pro 16" M4 Max run?
Build: MacBook Pro M4 Max 128GB
Runs comfortably155 models
Full-VRAM resident, with room for context. No compromises.
Quant: Q4_K_MContext: 8,192VRAM: 1.1 GBHeadroom: 118.9 GB1442tok/sEstimated
Quant: Q4_K_MContext: 2,048VRAM: 82.4 GBHeadroom: 37.6 GBollama run llama4:scout8tok/sEstimated
ollama run llama4:scoutQuant: FP16Context: 8,192VRAM: 18.5 GBHeadroom: 101.5 GBollama run llama3.1:8b33tok/sEstimated
ollama run llama3.1:8bQuant: Q8_0Context: 8,192VRAM: 49.1 GBHeadroom: 70.9 GBollama run qwen3:30b16tok/sEstimated
ollama run qwen3:30bQuant: Q8_0Context: 8,192VRAM: 76.7 GBHeadroom: 43.3 GBollama run llama3.3:70b7tok/sEstimated
ollama run llama3.3:70bQuant: Q8_0Context: 8,192VRAM: 38.4 GBHeadroom: 81.6 GBollama run qwen2.5-coder:32b15tok/sEstimated
ollama run qwen2.5-coder:32bQuant: Q8_0Context: 8,192VRAM: 52.2 GBHeadroom: 67.8 GBollama run qwen3:32b15tok/sEstimated
ollama run qwen3:32bQuant: Q8_0Context: 8,192VRAM: 50.7 GBHeadroom: 69.3 GBollama run gemma4:31b16tok/sEstimated
ollama run gemma4:31bQuant: Q8_0Context: 8,192VRAM: 13.1 GBHeadroom: 106.9 GBollama run qwen3:8b61tok/sEstimated
ollama run qwen3:8bQuant: Q5_K_MContext: 8,192VRAM: 84.9 GBHeadroom: 35.1 GBollama run deepseek-r1:70b11tok/sEstimated
ollama run deepseek-r1:70bQuant: Q8_0Context: 8,192VRAM: 52.2 GBHeadroom: 67.8 GBollama run deepseek-r1:32b15tok/sEstimated
ollama run deepseek-r1:32bQuant: Q8_0Context: 8,192VRAM: 23.3 GBHeadroom: 96.7 GBollama run qwen3:14b35tok/sEstimated
ollama run qwen3:14bWhat if you upgraded?
Hypothetical scenarios. We re-ran the compatibility engine for each.
Move up an Apple memory tier
Varies by configuration. Check Apple's current pricing
On Apple Silicon, more unified memory is the only path forward — VRAM and system RAM are the same pool.
Won't runtop 5 popular models
Need more memory than you have. Shown for orientation.
Needs ~1024 GB unified memory minimum at smallest quant; you have 120 GB available after OS overhead.
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Needs ~1024 GB unified memory minimum at smallest quant; you have 120 GB available after OS overhead.
Needs ~160 GB unified memory minimum at smallest quant; you have 120 GB available after OS overhead.
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Needs ~160 GB unified memory minimum at smallest quant; you have 120 GB available after OS overhead.
Needs ~420 GB unified memory minimum at smallest quant; you have 120 GB available after OS overhead.
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Needs ~420 GB unified memory minimum at smallest quant; you have 120 GB available after OS overhead.
Needs ~192 GB unified memory minimum at smallest quant; you have 120 GB available after OS overhead.
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Needs ~192 GB unified memory minimum at smallest quant; you have 120 GB available after OS overhead.
Needs ~420 GB unified memory minimum at smallest quant; you have 120 GB available after OS overhead.
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Needs ~420 GB unified memory minimum at smallest quant; you have 120 GB available after OS overhead.
Not enough VRAM for these models? Rent a GPU by the hour
The models above need more memory than 128 GB unified memory. You can rent a GPU with enough VRAM by the hour to run one of them, or to test it before you buy hardware. For daily use, owning a card usually costs less over time.
RunPod
billed per GPU-hourHourly GPU pods, in community-cloud and secure-cloud tiers.
The two tiers run on different hosts and terms. Check which tier a pod is on before a long job.
Rent on RunPodVast.ai
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Host quality varies. Filter for verified hosts and check the host's reliability before a long run.
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How to read these numbers
Want a specific benchmark we don't have? Email Contact support and we'll prioritize it.