GPU HEAD-TO-HEAD

NVIDIA RTX 3060 12 GB vs NVIDIA RTX 4060

Which graphics card is better for running local language models? Here is how the NVIDIA RTX 3060 12 GB (12 GB) compares against the NVIDIA RTX 4060 (8 GB) in real memory headroom, supported model architectures, and generation speed.

NVIDIA · Ampere 12 GB VRAM

NVIDIA RTX 3060 12 GB

Memory Bandwidth: 360 GB/s (GDDR6 192-bit)
Fits fully in VRAM: 33 popular models
Power Draw (TDP): 170W
Largest recommended (Q4): 14B

View all NVIDIA RTX 3060 12 GB models →

NVIDIA · Ada Lovelace 8 GB VRAM

NVIDIA RTX 4060

Memory Bandwidth: 272 GB/s (GDDR6 128-bit)
Fits fully in VRAM: 25 popular models
Power Draw (TDP): 115W
Largest recommended (Q4): 8B

View all NVIDIA RTX 4060 models →

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

The NVIDIA RTX 3060 12 GB is the clear winner for local AI. It provides both 4 GB more VRAM and higher memory bandwidth (360 GB/s vs 272 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 3060 12 GB, but NOT on NVIDIA RTX 4060

These models run entirely in GPU VRAM on the NVIDIA RTX 3060 12 GB, but require slow system RAM offload on the NVIDIA RTX 4060:

Model	Size	Downloads	NVIDIA RTX 3060 12 GB	NVIDIA RTX 4060
bartowski/Qwen2.5-32B-Instruct-GGUF	32.76B	892,605	Fits in VRAM	Offload (Slow)
unsloth/gpt-oss-20b-GGUF	20.91B	572,896	Fits in VRAM	Offload (Slow)
unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF	30.53B	472,768	Fits in VRAM	Offload (Slow)
Qwen/Qwen3-14B-GGUF	14.77B	332,419	Fits in VRAM	Offload (Slow)
bartowski/Kwaipilot_KAT-Coder-V2.5-Dev-GGUF	34.66B	281,804	Fits in VRAM	Offload (Slow)
unsloth/GLM-4.7-Flash-GGUF	31.22B	242,369	Fits in VRAM	Offload (Slow)
unsloth/Qwen-AgentWorld-35B-A3B-GGUF	34.66B	238,754	Fits in VRAM	Offload (Slow)
unsloth/flint-GGUF	39.79B	221,711	Fits in VRAM	Offload (Slow)

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