Hardware comparison
NVIDIA RTX 4060 (8GB) vs NVIDIA RTX 5070 (12GB) 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 (8GB) | NVIDIA RTX 5070 (12GB) |
|---|---|---|
| Memory | 8.0 GB | 12.0 GB (better for this comparison) |
| Bandwidth | 272 GB/s | 672 GB/s (better for this comparison) |
| Price (approx) | $530 (better for this comparison)GPU only · host PC required, sold separately | $629GPU only · host PC required, sold separately |
| LLMs it runs | 23 of 69 | 30 of 69 (better for this comparison) |
| Best model it runs | Gemma 3 12BQ2_K · estimated 34–51 tok/s | Mistral Small 3.2 24BQ2_K · estimated 45–68 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 5070 (12GB) runs 7 more of the tracked models (30 vs 23), thanks to its 12.0 GB of memory. The NVIDIA RTX 5070 (12GB) has more memory bandwidth (672 GB/s). Higher bandwidth can help generation speed, but model, quant, architecture and runtime also affect the estimates.