MACSTUDIOS.NET · Field Guide · Data verified Jul 2026
Cheapest Mac to run Llama 3.1 8B
8B parameters · quality index 17 · coding 14 · every Apple Silicon Mac ever sold, compared.
The cheapest Mac that runs Llama 3.1 8B comfortably is a used Mac mini M1 8c/8c 16GB (2020) at about $436 EST. on the used market — running Q8_0 quantization at roughly 3.8 tok/s with up to 27K tokens of context.
Every Mac that runs it, by used price
| Machine | Used price | Runs at | Est. speed | Max context |
|---|---|---|---|---|
| Mac mini M1 8c/8c 16GB (2020) | $436 EST. | Q8_0 | 3.8 tok/s | 27K tokens |
| Mac mini M4 10c/10c 16GB (2024) | $461 EST. | Q8_0 | 6.8 tok/s | 27K tokens |
| Mac mini M2 8c/10c 16GB (2023) | $499 EST. | Q8_0 | 5.7 tok/s | 27K tokens |
| Mac mini M4 10c/10c 24GB (2024) | $615 EST. | FP16 | 3.6 tok/s | 15K tokens |
| Mac mini M2 8c/10c 24GB (2023) | $624 EST. | FP16 | 3.0 tok/s | 15K tokens |
| Mac mini M4 10c/10c 32GB (2024) | $769 EST. | FP16 | 3.6 tok/s | 61K tokens |
| Mac mini M2 Pro 10c/16c 16GB (2023) | $812 EST. | Q8_0 | 11 tok/s | 27K tokens |
| Mac mini M2 Pro 12c/19c 16GB (2023) | $999 EST. | Q8_0 | 11 tok/s | 27K tokens |
| Mac mini M2 Pro 10c/16c 32GB (2023) | $1,062 EST. | FP16 | 6.0 tok/s | 61K tokens |
| Mac mini M4 Pro 12c/16c 24GB (2024) | $1,077 EST. | FP16 | 8.2 tok/s | 15K tokens |
See all 75 machines, other price bases, and live currency conversion →
Run it
ollama run llama3.1:8b pulls the default (≈Q4) build once you have Ollama installed.
Or skip the hardware
Cloud APIs serve Llama 3.1 8B at about $0.05 per million output tokens. The main site's break-even solver computes the daily usage where owning a Mac becomes cheaper than renting.
Open the interactive guide — speed simulator, TCO, all 75 machines →Estimates: used prices are market ballparks, speeds are bandwidth-model estimates (±30%) calibrated against llama.cpp benchmarks — the methodology documents every formula. Computed from the same dataset as the live tool.