What AI can the GeForce RTX 4070 SUPER run?

Qwen3 14B (Q4_K_M, a 9.3 GB download) is the largest of the 42 models we track that fits entirely in the 12 GB the GeForce RTX 4070 SUPER can give a model at a 4K context, with 2.2 GB to spare and room for up to 18,603 tokens of context.

Not entirely in its own memory. Mistral Small 22B (Q4_K_M) needs 13 GB at a 4K context, and the GeForce RTX 4070 SUPER can give a model 12 GB. With enough system RAM the rest can spill over into it, which works but is much slower; pick your RAM above to check.

All 12 GB of its VRAM, per NVIDIA GeForce graphics card comparison (checked Oct 2, 2026). The model file, its context and the program running it all have to fit in that.

GeForce RTX 5070, GeForce RTX 4070 Ti and GeForce RTX 4070 have the same 12 GB of VRAM, so the same models fit. How fast they run differs, but makers don’t publish speed figures we could cite.

Hardware makers and model publishers don’t publish tokens-per-second figures, so there is no source we could cite. We only show whether a model fits and how much context it leaves room for.