What can Apple Mac Studio (M3 Ultra) run for long context?
Build: Mac Studio M3 Ultra 256GB
Runs comfortably132 models
Ranked by fit for long context use case + predicted speed. Click a row for VRAM breakdown.
Quant: Q4_K_MContext: 2,048VRAM: 206.1 GBHeadroom: 41.9 GB67tok/sEstimated
Quant: Q8_0Context: 8,192VRAM: 7.1 GBHeadroom: 240.9 GBollama run gemma4:e4b123tok/sEstimated
ollama run gemma4:e4bQuant: Q8_0Context: 8,192VRAM: 6.7 GBHeadroom: 241.3 GBollama run phi3.5:3.8b129tok/sEstimated
ollama run phi3.5:3.8bQuant: Q4_K_MContext: 8,192VRAM: 8.4 GBHeadroom: 239.6 GB124tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 8.4 GBHeadroom: 239.6 GB124tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 9.1 GBHeadroom: 238.9 GB108tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 9.8 GBHeadroom: 238.2 GB108tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 58.0 GBHeadroom: 190.0 GB72tok/sEstimated
Quant: Q8_0Context: 8,192VRAM: 9.5 GBHeadroom: 238.5 GBollama run qwen2.5:7b70tok/sEstimated
ollama run qwen2.5:7bQuant: Q8_0Context: 8,192VRAM: 13.1 GBHeadroom: 234.9 GBollama run qwen3:8b61tok/sEstimated
ollama run qwen3:8bQuant: Q4_K_MContext: 8,192VRAM: 8.6 GBHeadroom: 239.4 GB124tok/sEstimated
Quant: Q8_0Context: 8,192VRAM: 20.2 GBHeadroom: 227.8 GBollama run mistral-nemo:12b41tok/sEstimated
ollama run mistral-nemo:12bWhat 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 248 GB available after OS overhead.
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Needs ~1024 GB unified memory minimum at smallest quant; you have 248 GB available after OS overhead.
Needs ~420 GB unified memory minimum at smallest quant; you have 248 GB available after OS overhead.
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Needs ~420 GB unified memory minimum at smallest quant; you have 248 GB available after OS overhead.
Needs ~420 GB unified memory minimum at smallest quant; you have 248 GB available after OS overhead.
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Needs ~420 GB unified memory minimum at smallest quant; you have 248 GB available after OS overhead.
Needs ~700 GB unified memory minimum at smallest quant; you have 248 GB available after OS overhead.
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Needs ~700 GB unified memory minimum at smallest quant; you have 248 GB available after OS overhead.
Needs ~280 GB unified memory minimum at smallest quant; you have 248 GB available after OS overhead.
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Needs ~280 GB unified memory minimum at smallest quant; you have 248 GB available after OS overhead.
Not enough VRAM for these models? Rent a GPU by the hour
The models above need more memory than 256 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
billed per GPU-hourMarketplace of host-listed GPUs; price and reliability vary by host.
Host quality varies. Filter for verified hosts and check the host's reliability before a long run.
Rent on Vast.aiReferral links: RunLocalAI may earn a commission or account credits if you sign up and rent, at no extra cost to you. Hourly rates and which GPUs are listed change all the time, so check the provider's page before you start. Editorial opinions are independent of the referral relationship; see how we make money.
How to read these numbers
Want a specific benchmark we don't have? Email Contact support and we'll prioritize it.