Run gpt-oss-20b on a Dedicated Mac

gpt-oss-20b needs about 14.8 GB of memory at 4-bit. It runs on our Mac Mini M6 32GB at about 29–40 tokens per second, from $169/mo.

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.

  • Mac Mini M6 32GB Best value
    29–40 tokens/sec
    from $169/mo
    Order
  • Mac Mini M5 Pro 64GB
    49–67 tokens/sec
    from $299/mo
    Order
  • Mac Studio M4 Max 128GB
    78–102 tokens/sec
    from $499/mo
    Order
  • Mac Studio M5 Max 128GB
    86–111 tokens/sec
    from $569/mo Available Nov 10, 2026
    Order
  • Mac Studio M5 Ultra 256GB
    136–167 tokens/sec
    from $1,199/mo Available Nov 16, 2026
    Order
  • 2× Mac Studio M5 Ultra 256GB Cluster Cluster
    107–125 tokens/sec
    from $2,399/mo Available Nov 16, 2026
    Order
  • Mac Studio M5 Ultra 512GB
    136–167 tokens/sec
    from $2,499/mo Available Dec 30, 2026
    Order
  • 2× Mac Studio M5 Ultra 512GB Cluster Cluster
    107–125 tokens/sec
    from $4,999/mo Available Dec 30, 2026
    Order
  • 4× Mac Studio M5 Ultra 512GB Cluster Cluster
    75–83 tokens/sec
    from $9,999/mo Available Dec 30, 2026
    Order

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.

Similar models