How fast will local models feel on the NVIDIA RTX 5080 16GB?

Local LLM speed on the NVIDIA RTX 5080 16GB

The NVIDIA RTX 5080 16GB has 16 GB of memory and 960 GB/s of memory bandwidth, which is what mostly decides generation speed. Below is the expected speed for each model at the best quantization that fits.

Model	Quantization	Memory	Generation	First token
Qwen 3.6/3.8 27B	Q4_K_M	Partial offload	13 tok/s	1.3 s
GLM-5.3 Flash	UD-IQ1_S	Doesn't fit	Won't run	—
GPT-OSS 20B	MXFP4	Fits	186 tok/s	0.3 s
Gemma 4 26B A4B	Q4_K_M	Partial offload	83 tok/s	1.2 s
Qwen 3.5/3.6 35B A3B	Q4_K_M	Partial offload	73 tok/s	1.2 s
Ornith 1.5 35B A3B	Q4_K_M	Partial offload	76 tok/s	1.2 s
DeepSeek V4 Flash	UD-IQ1_S	Doesn't fit	Won't run	—
GPT-OSS 120B	MXFP4	Doesn't fit	Won't run	—
Gemma 4 31B	Q4_K_M	Partial offload	9.7 tok/s	1.3 s
Llama 3.1 8B	Q4_K_M	Fits	36 tok/s	0.3 s
Qwen 3.5 9B	Q4_K_M	Fits	53 tok/s	0.3 s
DeepSeek R1 Distill 14B	Q4_K_M	Fits	25 tok/s	0.3 s
Ornith 1.5 9B	Q4_K_M	Fits	52 tok/s	0.3 s
Muse Glimmer 30B	Q4_K_M	Partial offload	7.9 tok/s	1.3 s
Qwen3 30B A3B	Q4_K_M	Partial offload	87 tok/s	1.2 s

Other hardware

Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.