NVIDIA RTX 5060 Ti 16GB vs NVIDIA RTX 5060 Ti 8GB

Analysis

NVIDIA sells the RTX 5060 Ti in two VRAM configurations launched the same day, April 16, 2025: 16GB for $429 and 8GB for $379, both cut from the identical GB206-300 die with the same 4,608 CUDA cores and 448 GB/s bandwidth. The only real difference between them is capacity, which makes this one of the cleanest VRAM-only comparisons on this site.

Because both cards share the exact same die, clocks, and 448 GB/s memory bandwidth, this site's calculator returns identical tokens-per-second for any model that fits inside the 8GB card's budget: Llama 3.1 8B decodes at 67.6 tok/s at NVFP4 (5.68 GB) on both. The gap only appears once a model's footprint crosses roughly 7.6GB of usable VRAM. 27 of the 96 models this site tracks with a standard quant ladder reach a fits verdict on the 16GB card's VRAM at their best quant but only reach an offload verdict on the 8GB card at that identical quant: Qwen 3.6 27B runs natively at 26.2 tok/s on the 16GB card versus 3.8 tok/s offloaded on the 8GB card, and GPT-OSS 20B, a model OpenAI explicitly sized for a 16GB card, runs at 133.6 tok/s natively versus 38.8 tok/s offloaded (a mixture-of-experts model streams only its active experts from system RAM, so it loses far less than a dense one).

Bottom line: The 16GB card's $50 premium over the 8GB version is entirely a VRAM purchase: CUDA core count, clocks, and bandwidth are identical between them, so nothing about raw compute or gaming performance changes. For local LLM inference, that $50 is easily the best-value upgrade in the whole RTX 5060 Ti family: it's the difference between Qwen 3.6 27B running at usable native speed versus crawling under CPU offload, and between GPT-OSS 20B running at full speed versus about a third of it. Buy the 8GB card only if the budget is genuinely fixed at $379 and the plan is to stay under roughly 7-8B parameter models; anyone with $50 more to spend should default to the 16GB version.