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Can RTX 5090 run openai/gpt-oss-20b?

Runs Q432GB VRAM availableRequires 10GB+

RTX 5090 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 5090 can run openai/gpt-oss-20b with Q4 quantization. At approximately 157 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 22GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q410GB32GB156.71 tok/s✅ Fits comfortably
Q820GB32GB126.70 tok/s✅ Fits comfortably
FP1641GB32GB58.13 tok/s❌ Not recommended

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 5090 specs & pricingFull guide for openai/gpt-oss-20bopenai/gpt-oss-20b speed on RTX 5090openai/gpt-oss-20b Q4 requirements