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Can I run gpt-oss 120B (MoE, MXFP4) locally?

OpenAI · 117B parameters (5.1B active) · chat, reasoning, coding.

Ollama weight files: MXFP4 65 GB (gpt-oss:120b).

Yes on 18 machines in this list. The smallest is Mac Studio M3 Ultra 96GB: MXFP4, about 67.3 GB, roughly 116 tokens per second, via Ollama. ollama run gpt-oss:120b

Setup on DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte)

Open gpt-oss 120B (MoE, MXFP4) in the checker

Hardware that fits

HardwareRuntimeQuantMemoryFitSpeedCommand
Mac Studio M3 Ultra 96GBOllamaMXFP467.3 GBfits in fast memory~116 tok/sollama run gpt-oss:120b
Mac Studio M5 Ultra 96GBOllamaMXFP467.3 GBfits in fast memory~169 tok/sollama run gpt-oss:120b
M3 Max 128GBOllamaMXFP467.3 GBfits in fast memory~56 tok/sollama run gpt-oss:120b
M4 Max 128GBOllamaMXFP467.3 GBfits in fast memory~77 tok/sollama run gpt-oss:120b
Mac Studio M4 Max (40c GPU) 128GBOllamaMXFP467.3 GBfits in fast memory~77 tok/sollama run gpt-oss:120b
Mac Studio M5 Max (40c GPU) 128GBOllamaMXFP467.3 GBfits in fast memory~87 tok/sollama run gpt-oss:120b
DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte)OllamaMXFP467.3 GBfits in fast memory~55 tok/sollama run gpt-oss:120b
M2 Ultra 192GBOllamaMXFP467.3 GBfits in fast memory~113 tok/sollama run gpt-oss:120b
2x Mac Studio M5 Max (40c GPU) 128GBllama.cppQ5_K_M GGUF65.2 GBfits in fast memory~76 tok/sllama-server -hf unsloth/gpt-oss-120b-GGUF:Q5_K_M --rpc node2:50052 -c 8192 # run rpc-server on each other node
Mac Studio M3 Ultra 256GBOllamaMXFP467.3 GBfits in fast memory~116 tok/sollama run gpt-oss:120b
Mac Studio M5 Ultra (64c GPU) 256GBOllamaMXFP467.3 GBfits in fast memory~169 tok/sollama run gpt-oss:120b
Mac Studio M5 Ultra (80c GPU) 256GBOllamaMXFP467.3 GBfits in fast memory~169 tok/sollama run gpt-oss:120b
2x DGX Spark 128GBllama.cppQ5_K_M GGUF65.2 GBfits in fast memory~49 tok/sllama-server -hf unsloth/gpt-oss-120b-GGUF:Q5_K_M --rpc node2:50052 -c 8192 # run rpc-server on each other node
4x Mac Studio M5 Max (40c GPU) 128GBllama.cppQ5_K_M GGUF65.2 GBfits in fast memory~67 tok/sllama-server -hf unsloth/gpt-oss-120b-GGUF:Q5_K_M --rpc node2:50052,node3:50052,node4:50052 -c 8192 # run rpc-server on each other node
2x Mac Studio M5 Ultra (80c GPU) 256GBllama.cppQ5_K_M GGUF65.2 GBfits in fast memory~149 tok/sllama-server -hf unsloth/gpt-oss-120b-GGUF:Q5_K_M --rpc node2:50052 -c 8192 # run rpc-server on each other node
Mac Studio M3 Ultra (80c GPU) 512GBOllamaMXFP467.3 GBfits in fast memory~116 tok/sollama run gpt-oss:120b
4x DGX Spark 128GBllama.cppQ5_K_M GGUF65.2 GBfits in fast memory~43 tok/sllama-server -hf unsloth/gpt-oss-120b-GGUF:Q5_K_M --rpc node2:50052,node3:50052,node4:50052 -c 8192 # run rpc-server on each other node
4x Mac Studio M5 Ultra (80c GPU) 256GBllama.cppQ5_K_M GGUF65.2 GBfits in fast memory~131 tok/sllama-server -hf unsloth/gpt-oss-120b-GGUF:Q5_K_M --rpc node2:50052,node3:50052,node4:50052 -c 8192 # run rpc-server on each other node

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 2026-10-16.

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