GPU HEAD-TO-HEAD

NVIDIA RTX 4070 Ti vs NVIDIA GTX 1660 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 GTX 1660 Super (6 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: 33 popular models
Power Draw (TDP): 285W
Largest recommended (Q4): 14B

View all NVIDIA RTX 4070 Ti models →

NVIDIA · Turing 6 GB VRAM

NVIDIA GTX 1660 Super

Memory Bandwidth: 336 GB/s (GDDR6 192-bit)
Fits fully in VRAM: 21 popular models
Power Draw (TDP): 125W
Largest recommended (Q4): <4B

View all NVIDIA GTX 1660 Super models →

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

The NVIDIA RTX 4070 Ti is the clear winner for local AI. It provides both 6 GB more VRAM and higher memory bandwidth (504 GB/s vs 336 GB/s).

This allows it to run larger model architectures entirely in video memory while also delivering faster token generation speeds on models of all sizes.

Models that fit on NVIDIA RTX 4070 Ti, but NOT on NVIDIA GTX 1660 Super

These models run entirely in GPU VRAM on the NVIDIA RTX 4070 Ti, but require slow system RAM offload on the NVIDIA GTX 1660 Super:

Model	Size	Downloads	NVIDIA RTX 4070 Ti	NVIDIA GTX 1660 Super
Qwen/Qwen3-8B-GGUF	8.19B	833,319	Fits in VRAM	Offload (Slow)
unsloth/gpt-oss-20b-GGUF	20.91B	615,143	Fits in VRAM	Offload (Slow)
bartowski/Qwen2.5-32B-Instruct-GGUF	32.76B	596,743	Fits in VRAM	Offload (Slow)
unsloth/LFM2.5-24B-A2B-GGUF	23.97B	492,392	Fits in VRAM	Offload (Slow)
unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF	30.53B	483,511	Fits in VRAM	Offload (Slow)
Qwen/Qwen3-14B-GGUF	14.77B	431,621	Fits in VRAM	Offload (Slow)
unsloth/flint-GGUF	39.79B	331,924	Fits in VRAM	Offload (Slow)
unsloth/GLM-4.7-Flash-GGUF	31.22B	306,879	Fits in VRAM	Offload (Slow)
bartowski/Kwaipilot_KAT-Coder-V2.5-Dev-GGUF	34.66B	219,027	Fits in VRAM	Offload (Slow)
Qwen/Qwen2.5-Coder-14B-Instruct-GGUF	14.77B	194,148	Fits in VRAM	Offload (Slow)
bartowski/Nanbeige_Nanbeige4.3-33B-GGUF	33.12B	155,759	Fits in VRAM	Offload (Slow)
bartowski/Qwen2.5-14B-Instruct-GGUF	14.77B	146,424	Fits in VRAM	Offload (Slow)

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