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: 30 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
unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF 30.53B 12,817,609 Fits in VRAM Offload (Slow)
unsloth/gpt-oss-20b-GGUF 20.91B 544,073 Fits in VRAM Offload (Slow)
unsloth/Qwen-AgentWorld-35B-A3B-GGUF 34.66B 434,894 Fits in VRAM Offload (Slow)
bartowski/Kwaipilot_KAT-Coder-V2.5-Dev-GGUF 34.66B 395,181 Fits in VRAM Offload (Slow)
MaziyarPanahi/Qwen3-30B-A3B-GGUF 30.53B 254,126 Fits in VRAM Offload (Slow)

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