GPU HEAD-TO-HEAD

NVIDIA RTX 4070 Super vs NVIDIA RTX 4070 Ti Super

Which graphics card is better for running local language models? Here is how the NVIDIA RTX 4070 Super (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 Super

Memory Bandwidth: 504 GB/s (GDDR6X 192-bit)
Fits fully in VRAM: 33 popular models
Power Draw (TDP): 220W
Largest recommended (Q4): 14B

View all NVIDIA RTX 4070 Super models →

NVIDIA · Ada Lovelace 16 GB VRAM

NVIDIA RTX 4070 Ti Super

Memory Bandwidth: 672 GB/s (GDDR6X 256-bit)
Fits fully in VRAM: 34 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 Super

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 Super:

Model	Size	Downloads	NVIDIA RTX 4070 Ti Super	NVIDIA RTX 4070 Super
LiquidAI/LFM2.5-24B-A2B-GGUF	23.97B	219,554	Fits in VRAM	Offload (Slow)

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