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Can RTX 3080 run openai/gpt-oss-20b?

Runs Q410GB VRAM availableRequires 10GB+

RTX 3080 meets the minimum VRAM requirement for Q4 inference of openai/gpt-oss-20b. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

RTX 3080 can run openai/gpt-oss-20b with Q4 quantization. At approximately 62 tokens/second, you can expect Good speed - acceptable for interactive use.

VRAM usage will be very close to your GPU's limit. Consider closing other applications or using Q3 quantization for more margin.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q410GB10GB62.34 tok/s⚠️ Tight fit
Q820GB10GB50.73 tok/s❌ Not recommended
FP1641GB10GB25.14 tok/s❌ Not recommended

Best current price

RTX 3080
$699.00 on Amazon
Check Price

Suitable alternatives

AMD Instinct MI300X
192GB
413.08 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
396.99 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
296.02 tok/s
Price: —
AMD Instinct MI300X
192GB
292.98 tok/s
Price: —
AMD Instinct MI250X
128GB
282.04 tok/s
Price: —

More questions

RTX 3080 specs & pricingFull guide for openai/gpt-oss-20bopenai/gpt-oss-20b speed on RTX 3080openai/gpt-oss-20b Q4 requirements