Which LLMs Fit on a 256 GB Mac?
By TechCompare · Updated · How we check
The calculator gives a 256 GB Mac 248 GB for models, after 8 GB for macOS and your apps. 76 of the 108 models fit there at Q4_K_M with 8K context, and GLM-5.3-Flash 320B (MoE) ranks first at 215.1 GB.
256 GB puts a Mac Studio with an M5 Ultra in range of the big mixture of experts models, the 230B to 320B class that otherwise takes several data center GPUs. This page checks every model in the LLM VRAM Calculator against it at Q4_K_M and Q8_0, with 8K and 32K tokens of context.
macOS and your apps share that memory, so the calculator keeps 8 GB for them and checks each model against 248 GB. That's a planning estimate, not a limit Apple sets. Each total counts the weights, the KV cache and a 10% allowance for the runtime.
Models that fit on a 256 GB Mac
Best pick first, by size and release date. Each cell is the total memory the model needs. Tight means under 10% of the memory is left. Pick a number to open it in the calculator.
Just too big at Q4_K_M with 8K context
- K2 Horizon 375B A23B (MoE)253.9 GB (short 5.9 GB)
- Intern-S2 397B (MoE)266.9 GB (short 18.9 GB)
- Arcee Trinity-Large 399B (MoE)269.2 GB (short 21.2 GB)
- Llama 4 Maverick (MoE 17B/400B)270.2 GB (short 22.2 GB)
- Llama 3.1 405B276.5 GB (short 28.5 GB)
- MiniMax-M3 428B (MoE)288.5 GB (short 40.5 GB)
Totals include the weights, the KV cache at FP16 with a batch size of 1, and a 10% allowance for the runtime.
What fits at Q4_K_M
GLM-5.3-Flash 320B (MoE) ranks first and is also the largest model that fits, at 215.1 GB with room to spare. MiMo-V2.6-Flash 309B needs 207.6 GB, DeepSeek V4 Flash 284B 190.7 GB and Qwen3 235B (MoE A22B) 159.5 GB.
All of these are mixture of experts models that run 13B to 22B parameters per token, so they write text at a usable pace on an M5 Ultra. The largest dense model that fits is Mistral Medium 3.5 128B, at 89.2 GB. A dense model reads all its weights for every token, so the big MoE models are the reason to get this much memory.
Long context
GLM-5.3-Flash barely grows at 32K. It needs 215.5 GB there, since its KV cache takes only 0.6 GB. Qwen3 235B keeps a full cache on all 94 of its layers, so its cache is 6.4 GB at 32K. It still fits, at 164.7 GB.
For 64K or 128K, open the model finder from the card below the table and change the context there. Long prompts take a while to read on any Mac, even when the model fits.
Q8_0 on 256 GB
At Q8_0, the limit drops to the 180B class. Qwen3.8-Flash-Next 180B (MoE) is the largest that fits, at 210.3 GB, and Qwen3 235B needs 275.8 GB. Mistral Medium 3.5 128B fits at Q8_0 even with 32K, at 162.3 GB.
The 300B class only fits at Q4_K_M. A big model at Q4_K_M usually gives better answers than a smaller one at Q8_0, so most people with this much memory run the largest MoE model they can at Q4_K_M.
Just out of reach
K2 Horizon 375B A23B (MoE) misses by 5.9 GB at Q4_K_M. At Q3_K_M it needs 204.4 GB and fits. Llama 3.1 405B is similar: 276.5 GB at Q4_K_M and 223.0 GB at Q3_K_M. It's dense, though, so it runs slowly on any Mac.
The 671B models stay out of reach even at Q3_K_M, where DeepSeek R1 needs 362.4 GB. They're on the 512 GB Mac list.
The Mac Studio with 256 GB
Apple sells 256 GB with the M5 Ultra in the Mac Studio. The Ultra has the most memory bandwidth of any Mac, and bandwidth is what sets token speed for models this size.
macOS keeps part of the memory away from the GPU by default. On macOS Sonoma and later, this command lets the GPU use 248 GB until the next restart:
sudo sysctl iogpu.wired_limit_mb=253952Keep an eye on memory pressure in Activity Monitor. If the Mac starts swapping to disk, lower the limit or pick a smaller model.
Other memory sizes
Graphics cards
Macs and unified memory
Frequently asked questions
What's the best LLM for a 256 GB Mac?
Can a 256 GB Mac run DeepSeek R1?
Can a 256 GB Mac run Llama 3.1 405B?
Can a 256 GB Mac run Qwen3 235B at Q8_0?
How much memory does macOS keep on a 256 GB Mac?
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