gpt-oss 20B on the NVIDIA RTX 4080 SUPER

Best measured: 187 tokens/s generation and 8,171 tokens/s prompt processing (MXFP4, CUDA, FA on).

For comparison, our size-scaling estimate for this combination is 138 tok/s.

Every run

Quant	Backend	Generate tok/s	Prompt tok/s	Test	Build / by / notes	Source
MXFP4	CUDA FA on	187	8,171	tg128	ggerganov llama-bench model column: gpt-oss 20B MXFP4 MoE	llama.cpp discussion #15396

tg128 = generating 128 tokens; pp512 = reading a 512-token prompt (llama-bench). LocalScore averages several prompt and output lengths, so its numbers run lower than tg128.

Check prices

Amazon Newegg

As an Amazon Associate I earn from qualifying purchases.

No card yet?

Try it on a rented GPU (RunPod)

Affiliate link: if you sign up, RigBench may earn a referral credit. It never affects rankings or numbers.

All results for the NVIDIA RTX 4080 SUPER · gpt-oss 20B on other hardware