GPU HEAD-TO-HEAD

NVIDIA RTX 4070 Ti vs NVIDIA RTX 4070 Ti Super

Which graphics card is better for running local language models? Here is how the NVIDIA RTX 4070 Ti (12 GB) compares against the NVIDIA RTX 4070 Ti Super (16 GB) in real memory headroom, supported model architectures, and generation speed.

NVIDIA · Ada Lovelace 12 GB VRAM

NVIDIA RTX 4070 Ti

  • Memory Bandwidth: 504 GB/s (GDDR6X 192-bit)
  • Fits fully in VRAM: 34 popular models
  • Power Draw (TDP): 285W
  • Largest recommended (Q4): 14B
View all NVIDIA RTX 4070 Ti models →
NVIDIA · Ada Lovelace 16 GB VRAM

NVIDIA RTX 4070 Ti Super

  • Memory Bandwidth: 672 GB/s (GDDR6X 256-bit)
  • Fits fully in VRAM: 35 popular models
  • Power Draw (TDP): 285W
  • Largest recommended (Q4): 20B–22B
View all NVIDIA RTX 4070 Ti Super models →

The AI Local Check Verdict: Which GPU should you buy for AI?

The NVIDIA RTX 4070 Ti Super is the clear winner for local AI. It delivers 4 GB more VRAM and superior memory bandwidth (672 GB/s vs 504 GB/s).

It unlocks larger parameter classes without system RAM offloading and generates tokens noticeably faster.

Models that fit on NVIDIA RTX 4070 Ti Super, but NOT on NVIDIA RTX 4070 Ti

These models run entirely in GPU VRAM on the NVIDIA RTX 4070 Ti Super, but require slow system RAM offload on the NVIDIA RTX 4070 Ti:

Model Size Downloads NVIDIA RTX 4070 Ti Super NVIDIA RTX 4070 Ti
MaziyarPanahi/Qwen3-32B-GGUF 32.76B 169,921 Fits in VRAM Offload (Slow)

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