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Cheapest box to run gpt-oss-20b at Q8_0

OpenAI’s gpt-oss-20b is 21B parameters, 3.6B of them read per token. The number below is computed from that and each vendor’s published specs, not asserted. Switch the quant or the context and it recomputes in place.

Fit finderprices checked 10 hours ago
Quant
Context

gpt-oss-20b at Q8_0 needs 24GB.

Cheapest Config that fits: Mac mini, M6, 32GB. Fits, 5GB headroom. Est. 22.2 tok/s.

Best offer today: $1,499 at Apple in stock, checked 10 hours ago.

Collecting price history — 2 of 90 days. No timing verdict yet.

Offers — Mac mini, M6, 32GB, 512GB

  • Applelist pricein stockchecked 10 hours ago$1,499
  • Expercomout of stockchecked 10 hours ago$1,499
  • B&H Photoout of stockchecked 10 hours ago$1,599

GeForce RTX 5090 is a card, not a computer: every price shown for it is the cheapest listing we found plus $1,000 for the minimum host machine.

memory = 21B × 1.063 B/param (8.5 bits) + 0.049 GB/1K × 8K K/V + 1.2 GB runtime
speed = bandwidth × 0.5 ÷ (3.6B active × 1.063 B/param) = 3.8 GB read per token
usable = memory − operating system reserve (8% on a Mac, 6% on a DGX Spark, 4% on a card)

Bandwidth is the vendor’s published figure. Every speed is an estimate and says so. Methodology.

Email me when Mac mini, M6, 32GB drops. One email, then we stop.

Pre-filled at the lowest price we have recorded, $1,499.

What else Mac mini M6 32GB runs

Best quant that still fits at 8K context, largest model first. Full list on the Config page.

Bandwidth 170GB/s, usable memory 29GB of 32GB.