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Can Mac Studio M3 Ultra 96GB run gpt-oss-20b?

Apple · 96 GB LPDDR5 · 819 GB/s bandwidth · OpenAI · 21.5B (active 3.6B) · MoE · model ctx up to 128K

Yes — the Mac Studio M3 Ultra 96GB (96 GB LPDDR5) can run gpt-oss-20b. At Q4 with the default 8K context it needs ≈ 13.55 GB VRAM (weights 11.83 GB + KV cache 0.72 GB + 1 GB runtime overhead), which fits within 96 GB. Decode at Q4/8K: ≈ 144.8 tok/s (estimated, batch 1). FP16 (≈ 44.72 GB) also fits, at ≈ 39.8 tok/s (estimated). Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K13.19 GBYes144.8 est.
Q48K default13.55 GBYes144.8 est.
Q432K15.71 GBYes144.8 est.
FP164K44.36 GBYes39.8 est.
FP168K default44.72 GBYes39.8 est.
FP1632K46.88 GBYes39.8 est.

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

QuantWeightsKV cacheOverheadTotal neededMac Studio M3 Ultra 96GB VRAM
Q411.83 GB0.72 GB1 GB13.55 GB96 GB
FP1643.0 GB0.72 GB1 GB44.72 GB96 GB

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