RTX 5070 vs. RTX 4070: which GPU for local AI?
Focused comparison Local LLM : we're looking at what really matters for running models—VRAM above all, then generation speed and price. Purchase verdict at the end.
Updated on 09/10/2026
Comparison at a glance
| Criterion | RTX 5070 | RTX 4070 |
|---|---|---|
| Memory | 12 GB VRAM | 12 GB VRAM |
| Brand | NVIDIA | NVIDIA |
| Compatible models (Q4) | 121 models in the catalog | 121 models in the catalog |
| Largest model (Q4) | Granite Code 20B (Mixed Precision) (20B) | Granite Code 20B (Mixed Precision) (20B) |
Which one should you choose to run an LLM?
Golden rule: with the same budget, always choose the GPU with the most VRAM. A model that exceeds the VRAM limit collapses in speed (CPU offloading). VRAM determines the size of the model; computing power mainly dictates the Speed.
Where to buy (up-to-date pricing and stock)
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Frequently asked questions
RTX 5070 or RTX 4070 to run an LLM locally?
For local use, the VRAM tier. The RTX 5070 (12 GB) runs larger models than the RTX 4070 (12 GB).
What is the largest model that RTX 5070 can run?
Up to Granite Code 20B (Mixed Precision) (20B) in Q4 quantization, with its 12 GB.
Should you buy used?
For LLMs, a used GPU with more VRAM often beats a newer card with less memory. Check its condition and warranty.