What AI can the GeForce RTX 4060 Ti 8 GB run?

Qwen3 8B (Q4_K_M, a 5.2 GB download) is the largest of the 42 models we track that fits entirely in the 8 GB the GeForce RTX 4060 Ti 8 GB can give a model at a 4K context, with 2.1 GB to spare and room for up to 19,348 tokens of context.

Not entirely in its own memory. Mistral Nemo 12B (Q4_K_M) needs 8.1 GB at a 4K context, and the GeForce RTX 4060 Ti 8 GB can give a model 8 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 8 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 5060 Ti 8 GB, GeForce RTX 5060, GeForce RTX 5050 and GeForce RTX 4060 have the same 8 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.