GPU HEAD-TO-HEAD

NVIDIA GTX 1660 Super vs NVIDIA GTX 1650

Which graphics card is better for running local language models? Here is how the NVIDIA GTX 1660 Super (6 GB) compares against the NVIDIA GTX 1650 (4 GB) in real memory headroom, supported model architectures, and generation speed.

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 →

NVIDIA · Turing 4 GB VRAM

NVIDIA GTX 1650

Memory Bandwidth: 128 GB/s (GDDR5 128-bit)
Fits fully in VRAM: 19 popular models
Power Draw (TDP): 75W
Largest recommended (Q4): <4B

View all NVIDIA GTX 1650 models →

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

The NVIDIA GTX 1660 Super is the clear winner for local AI. It provides both 2 GB more VRAM and higher memory bandwidth (336 GB/s vs 128 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 GTX 1660 Super, but NOT on NVIDIA GTX 1650

These models run entirely in GPU VRAM on the NVIDIA GTX 1660 Super, but require slow system RAM offload on the NVIDIA GTX 1650:

Model	Size	Downloads	NVIDIA GTX 1660 Super	NVIDIA GTX 1650
unsloth/Ornith-1.0-9B-GGUF	0.0B	434,860	Fits in VRAM	Offload (Slow)
bartowski/Meta-Llama-3.1-8B-Instruct-GGUF	8.03B	305,527	Fits in VRAM	Offload (Slow)

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