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: 30 popular models
- Power Draw (TDP): 220W
- Largest recommended (Q4): 14B
NVIDIA · Ada Lovelace
16 GB VRAM
NVIDIA RTX 4070 Ti Super
- Memory Bandwidth: 672 GB/s (GDDR6X 256-bit)
- Fits fully in VRAM: 31 popular models
- Power Draw (TDP): 285W
- Largest recommended (Q4): 20B–22B
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 |
|---|---|---|---|---|
| MaziyarPanahi/Qwen3-32B-GGUF | 32.76B | 253,998 | Fits in VRAM | Offload (Slow) |
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