Macs that run gpt-oss-20b
At 4-bit (as released) with a 32K-token context. Speeds are estimates; see real measurements on the calculator page.
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Mac Mini M6 32GB Best value29–40 tokens/secfrom $169/moOrder
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Mac Mini M5 Pro 64GB49–67 tokens/secfrom $299/moOrder
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Mac Studio M4 Max 128GB78–102 tokens/secfrom $499/moOrder
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Mac Studio M5 Max 128GB86–111 tokens/secfrom $569/mo Available Nov 10, 2026Order
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Mac Studio M5 Ultra 256GB136–167 tokens/secfrom $1,199/mo Available Nov 16, 2026Order
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2× Mac Studio M5 Ultra 256GB Cluster Cluster107–125 tokens/secfrom $2,399/mo Available Nov 16, 2026Order
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Mac Studio M5 Ultra 512GB136–167 tokens/secfrom $2,499/mo Available Dec 30, 2026Order
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2× Mac Studio M5 Ultra 512GB Cluster Cluster107–125 tokens/secfrom $4,999/mo Available Dec 30, 2026Order
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4× Mac Studio M5 Ultra 512GB Cluster Cluster75–83 tokens/secfrom $9,999/mo Available Dec 30, 2026Order
Why it runs well on a Mac
Language models have to sit entirely in memory, and generating each word means reading through them again. Apple Silicon puts up to 512 GB of fast unified memory on one chip that the GPU can use directly, so a model like this fits on one quiet machine instead of a stack of graphics cards.
gpt-oss-20b is a mixture-of-experts model: of its 21 billion parameters, only about 3.6 billion are used for each word. It needs memory for all of them but runs at the speed of a much smaller model.