Can a NVIDIA RTX Pro 6000 Blackwell (96GB) run GPT-OSS 120B (MoE)?

Yes — GPT-OSS 120B (MoE) runs at FP16 (65.4 GB) at about 200–300 tok/s on a NVIDIA RTX Pro 6000 Blackwell (96GB).

How much memory does GPT-OSS 120B (MoE) need?

GPT-OSS 120B (MoE) needs about 63.5 GB at 4K context at its smallest quantization. A NVIDIA RTX Pro 6000 Blackwell (96GB) has 96.0 GB.

Yes — GPT-OSS 120B (MoE) runs on a NVIDIA RTX Pro 6000 Blackwell (96GB) at FP16

Yes — it runs great.

Runs great

Best fit: GPT-OSS 120B (MoE) at FP16 · 65.4 GB weights · 200–300 tok/s on a NVIDIA RTX Pro 6000 Blackwell (96GB).

Arena Text Overall · style-controlled

1,352FP16 untested

gpt-oss-120b · published configuration reference · FP16 not tested

Arena Text Overall (style-controlled), exact published entry gpt-oss-120b, 2026-10-08: reference rating 1,351.8. Published confidence bounds 1,347.5–1,356.2. 30,218 votes. Published gpt-oss-120b configuration reference. Reasoning mode is not disclosed by the Arena dataset. Tested precision, runtime and sampling settings are not disclosed in this dataset. Selected FP16 has not been measured by this Arena entry. No quantization quality adjustment is applied.

Snapshot published 2026-10-08 · snapshot imported 2026-10-11 UTC · validated last-good data · manual refresh

Arena leaderboard dataset · Arena / lmarena-ai, Arena Leaderboard Dataset (CC BY 4.0). Selected Text Overall style-controlled rows; field names adapted, ratings unchanged. · dataset CC BY 4.0 · revision e16f90232986

Total memory at 4K context: 66.3 GB; Weights + KV cache + runtime overhead
Estimated generation: 200–300 tok/s
Estimated first token: ~0.5s

Every quantization on this machine

On small screens, each quant lists every metric below its name. On wider screens, scroll sideways for total memory, speed and fit. Keyboard: focus the table, then use the arrow keys. Quant names stay visible.

GPT-OSS 120B (MoE) quantizations on NVIDIA RTX Pro 6000 Blackwell (96GB), estimated at 4K context. Weights and total memory are shown separately.
Quant	Weights	Total memory	Speed	Fit
Q2_K	62.6 GB	63.5 GB	204–306 tok/s	Runs great
Q3_K_M	62.6 GB	63.6 GB	204–306 tok/s	Runs great
Q4_K_M	62.8 GB	63.7 GB	204–305 tok/s	Runs great
Q5_K_M	62.9 GB	63.8 GB	203–305 tok/s	Runs great
Q6_K	63.3 GB	64.2 GB	203–304 tok/s	Runs great
Q8_0	63.4 GB	64.3 GB	203–304 tok/s	Runs great
FP16	65.4 GB	66.3 GB	200–300 tok/s	Runs great

Open the full calculator →Everything a NVIDIA RTX Pro 6000 Blackwell (96GB) runs GPT-OSS 120B (MoE) on other machines What to buy to run it →

Ran GPT-OSS 120B (MoE) on a NVIDIA RTX Pro 6000 Blackwell (96GB)? Add your real numbers →