Hardware comparison
NVIDIA RTX 4060 Ti (16GB) vs NVIDIA RTX 5060 (8GB) for local LLMs
How the two stack up for running open-source LLMs locally — memory, bandwidth, price, and how many of the 69 tracked models each one can run.
Scroll sideways to compare both machines. Keyboard: focus the table, then use the arrow keys. Metric names stay visible.
| Hardware | NVIDIA RTX 4060 Ti (16GB) | NVIDIA RTX 5060 (8GB) |
|---|---|---|
| Memory | 16.0 GB (better for this comparison) | 8.0 GB |
| Bandwidth | 288 GB/s | 448 GB/s (better for this comparison) |
| Price (approx) | $449GPU only · host PC required, sold separately | $449GPU only · host PC required, sold separately |
| LLMs it runs | 48 of 69 (better for this comparison) | 23 of 69 |
| Best model it runs | Gemma 4 31BQ2_K · estimated 16–24 tok/s | Gemma 3 12BQ2_K · estimated 53–79 tok/s |
Both prices cover GPU cards only. A host PC is required and its cost is excluded. Prices are approximate catalog estimates; check current configurations and prices before buying.
The recommended models differ. These estimated speeds are not a like-for-like comparison. Estimates use 4,096 context tokens, llama.cpp and one stream.
The NVIDIA RTX 4060 Ti (16GB) runs 25 more of the tracked models (48 vs 23), thanks to its 16.0 GB of memory. The NVIDIA RTX 5060 (8GB) has more memory bandwidth (448 GB/s). Higher bandwidth can help generation speed, but model, quant, architecture and runtime also affect the estimates.