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.

ModelQ4_K_M8K contextQ4_K_M32K contextQ8_08K contextQ8_032K context
GLM-5.3-Flash 320B (MoE)320B, 18B active, Aug 2026215.1 GBFits215.5 GBFits373.5 GBShort 125.5 GB373.9 GBShort 125.9 GB
MiMo-V2.6-Flash 309B (MoE)309B, 15B active, Sep 2026207.6 GBFits208.2 GBFits360.6 GBShort 112.6 GB361.2 GBShort 113.2 GB
ERNIE 5.5 Flash 280B (MoE)280B, 14B active, Oct 2026188.0 GBFits188.3 GBFits326.6 GBShort 78.6 GB326.9 GBShort 78.9 GB
Mistral Medium 3.5 128B128B, Mar 202689.2 GBFits98.9 GBFits152.5 GBFits162.3 GBFits
MiMo-V2.5 310B (MoE)310B, 15B active, Apr 2026208.3 GBFits208.9 GBFits361.7 GBShort 113.7 GB362.4 GBShort 114.4 GB
DeepSeek V4 Flash 284B (MoE)284B, 13B active, Apr 2026190.7 GBFits190.9 GBFits331.3 GBShort 83.3 GB331.5 GBShort 83.5 GB
Apertus v1.5 70B71.94B, Sep 202651.3 GBFits60.1 GBFits86.9 GBFits95.7 GBFits
MiniMax-M2.7 230B (MoE)230B, 10B active, Apr 2026156.7 GBFits163.5 GBFits270.5 GBShort 22.5 GB277.4 GBShort 29.4 GB
Nemotron 3.5 Super VL 120B (MoE)120B, 12B active, Oct 202680.8 GBFits81.0 GBFits140.2 GBFits140.4 GBFits
Qwen3.8-Flash-Next 180B (MoE)180B, 6B active, Aug 2026121.2 GBFits121.9 GBFits210.3 GBFits211.0 GBFits
Qwen3 235B (MoE A22B)235B, 22B active, Apr 2025159.5 GBFits164.7 GBFits275.8 GBShort 27.8 GB281.0 GBShort 33.0 GB
Ling-3.0-flash 124B (MoE)124.41B, 5.1B active, Aug 202683.7 GBFits83.9 GBFits145.3 GBFits145.5 GBFits
Nemotron 3 Super 120B120B, 12B active, Mar 202680.8 GBFits81.0 GBFits140.2 GBFits140.4 GBFits
Nemotron 3.5 Bolt 74B (MoE)74.89B, 9B active, Oct 202650.5 GBFits50.8 GBFits87.6 GBFits87.8 GBFits
Qwen3.5 122B122B, 10B active, Feb 202682.3 GBFits83.0 GBFits142.7 GBFits143.3 GBFits

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:

bash
sudo sysctl iogpu.wired_limit_mb=253952

Keep 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

Frequently asked questions

What's the best LLM for a 256 GB Mac?
GLM-5.3-Flash 320B (MoE) ranks first at Q4_K_M with 8K context, at 215.1 GB. It runs about 18B parameters per token and still fits at 32K. Try a few from the top of the table on your own tasks.
Can a 256 GB Mac run DeepSeek R1?
No. DeepSeek R1 671B needs 450.9 GB at Q4_K_M and 362.4 GB at Q3_K_M. The 512 GB Mac list covers it.
Can a 256 GB Mac run Llama 3.1 405B?
Only at a smaller quant. Llama 3.1 405B needs 276.5 GB at Q4_K_M and 223.0 GB at Q3_K_M, both with 8K. It's a dense model, so expect slow replies.
Can a 256 GB Mac run Qwen3 235B at Q8_0?
No. It needs 275.8 GB at Q8_0. At Q4_K_M it fits even with 32K, at 164.7 GB.
How much memory does macOS keep on a 256 GB Mac?
The calculator keeps 8 GB for macOS and your apps and gives models 248 GB. That's a planning estimate, not a rule from Apple. macOS also limits the GPU's share by default, and the section above shows how to raise it.