How fast will GPT-OSS 120B feel on the AMD Ryzen AI Max+ 395 128GB (Strix Halo)?

GPT-OSS 120B on the AMD Ryzen AI Max+ 395 128GB (Strix Halo)

GPT-OSS 120B is a 116.83B-parameter mixture-of-experts model (5.1B active per token). At MXFP4 it needs about 64.1 GB of memory. The AMD Ryzen AI Max+ 395 128GB (Strix Halo) has 119 GB usable, so it fits entirely in memory. Expect about 52 tokens/sec (46–58), with the first token after 0.4 s for a short prompt. This estimate is based on community benchmarks of this exact setup.

Speed by quantization

Quantization	File size	Memory	Generation	First token	Source
MXFP4	63.4 GB	Fits	52 tok/s	0.4 s	Measured

GPT-OSS 120B on other hardware

H100 80GB (cloud) · 488 tok/s at MXFP4
A100 80GB (cloud) · 297 tok/s at MXFP4
NVIDIA RTX PRO 6000 96GB · 261 tok/s at MXFP4
Mac Studio M5 Ultra 512GB · 205 tok/s at MXFP4
H200 141GB (cloud) · 196 tok/s at MXFP4
Mac Studio M3 Ultra 512GB · 154 tok/s at MXFP4
MacBook Pro M5 Max 128GB · 115 tok/s at MXFP4
Mac Studio M4 Max 128GB · 103 tok/s at MXFP4
NVIDIA DGX Spark 128GB · 40 tok/s at MXFP4
NVIDIA RTX 5090 32GB · 39 tok/s at MXFP4
AMD Radeon AI PRO R9700 32GB · 37 tok/s at MXFP4
Intel Arc Pro B70 32GB · 31 tok/s at MXFP4
CPU-only (Ryzen 9 9950X, 96GB DDR5) · 22 tok/s at MXFP4
NVIDIA RTX 3090 24GB · won't run
NVIDIA RTX 4090 24GB · won't run
NVIDIA RTX 5060 Ti 16GB · won't run
AMD RX 7900 XTX 24GB · won't run
NVIDIA RTX 3060 12GB · won't run
NVIDIA RTX 5070 Ti 16GB · won't run
AMD RX 9070 XT 16GB · won't run
Mac Mini M4 Pro 64GB · won't run
NVIDIA RTX 5080 16GB · won't run
MacBook Pro M5 Pro 48GB · won't run
AMD RX 7900 XT 20GB · won't run
NVIDIA RTX 4070 Ti Super 16GB · won't run
MacBook M4 Pro 24GB · won't run
NVIDIA RTX 4070 12GB · won't run
MacBook M3 Max 48GB · won't run
MacBook M2 Pro 16GB · won't run

Other models on the AMD Ryzen AI Max+ 395 128GB (Strix Halo)

Qwen 3.6/3.8 27B · 9.5 tok/s at Q4_K_M
GLM-5.3 Flash · 26 tok/s at UD-Q2_K_XL
GPT-OSS 20B · 74 tok/s at MXFP4
Gemma 4 26B A4B · 49 tok/s at Q4_K_M
Qwen 3.5/3.6 35B A3B · 53 tok/s at Q4_K_M
Ornith 1.5 35B A3B · 81 tok/s at Q4_K_M
DeepSeek V4 Flash · 32 tok/s at UD-IQ3_S
Gemma 4 31B · 11 tok/s at Q4_K_M
Llama 3.1 8B · 33 tok/s at Q4_K_M
Qwen 3.5 9B · 26 tok/s at Q4_K_M
DeepSeek R1 Distill 14B · 18 tok/s at Q4_K_M
Ornith 1.5 9B · 25 tok/s at Q4_K_M
Muse Glimmer 30B · 7.4 tok/s at Q4_K_M
Qwen3 30B A3B · 73 tok/s at Q4_K_M

All models on the AMD Ryzen AI Max+ 395 128GB (Strix Halo) · GPT-OSS 120B on all hardware

Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.