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What local LLMs run on Mac Studio M3 Ultra (80c GPU) 512GB?

With 512 GB unified memory (about 384.0 GB usable by the GPU), these are the best open models that fit. The top pick is Qwen3-Coder 480B-A35B (MoE) at Q4_K_M (~292.4 GB, ~15 tok/s): ollama run qwen3-coder:480b.

Best for coding: Qwen3-Coder 480B-A35B (MoE) (qwen3-coder:480b), DeepSeek V3.1 671B (MoE) (deepseek-v3.1:671b), Qwen3 235B-A22B (MoE) (qwen3:235b-a22b-q8_0).

Runtimes available for this hardware: Ollama, LM Studio, llama.cpp, MLX.

Open the interactive checker for Mac Studio M3 Ultra (80c GPU) 512GB
#ModelQuantMemory neededFitSpeedCommand
1Qwen3-Coder 480B-A35B (MoE)Q4_K_M292.4 GBfits in fast memory~15 tok/sollama run qwen3-coder:480b
2Llama 4 Maverick 400B (MoE)Q4_K_M247.3 GBfits in fast memory~31 tok/sollama run llama4:128x17b
3DeepSeek R1 671B (full, MoE)Q4_K_M406.4 GBraise~15 tok/sollama run deepseek-r1:671b
4DeepSeek V3.1 671B (MoE)Q4_K_M406.4 GBraise~15 tok/sollama run deepseek-v3.1:671b
5Qwen3 235B-A22B (MoE)Q8_0252.3 GBfits in fast memory~14 tok/sollama run qwen3:235b-a22b-q8_0
6Llama 4 Scout 109B (MoE)Q4_K_M69.3 GBfits in fast memory~31 tok/sollama run llama4:16x17b
7gpt-oss 120B (MoE, MXFP4)MXFP467.3 GBfits in fast memory~116 tok/sollama run gpt-oss:120b
8Qwen3-Next 80B-A3B (MoE)Q8_087.3 GBfits in fast memory~103 tok/sollama run qwen3-next:80b-a3b-instruct-q8_0
9Qwen3 30B-A3B (MoE)Q8_034.4 GBfits in fast memory~92 tok/sollama run qwen3:30b-a3b-q8_0
10Qwen3-Coder 30B-A3B (MoE)Q8_033.4 GBfits in fast memory~95 tok/sollama run qwen3-coder:30b-a3b-q8_0
11Llama 3.3 70BQ8_079.1 GBfits in fast memory~9 tok/sollama run llama3.3:70b-instruct-q8_0
12DeepSeek R1 Distill Llama 70BQ8_079.1 GBfits in fast memory~9 tok/sollama run deepseek-r1:70b-llama-distill-q8_0

Estimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-14.

A project by OnDevice Labs · llms.txt