GPU HEAD-TO-HEAD

NVIDIA RTX 5070 vs NVIDIA RTX 3060 Laptop

Which graphics card is better for running local language models? Here is how the NVIDIA RTX 5070 (12 GB) compares against the NVIDIA RTX 3060 Laptop (6 GB) in real memory headroom, supported model architectures, and generation speed.

NVIDIA · Blackwell 12 GB VRAM

NVIDIA RTX 5070

  • Memory Bandwidth: 672 GB/s (GDDR7 192-bit)
  • Fits fully in VRAM: 30 popular models
  • Power Draw (TDP): 250W
  • Largest recommended (Q4): 14B
View all NVIDIA RTX 5070 models →
NVIDIA · Mobile 6 GB VRAM

NVIDIA RTX 3060 Laptop

  • Memory Bandwidth: 192 GB/s (GDDR6)
  • Fits fully in VRAM: 22 popular models
  • Power Draw (TDP): 150W
  • Largest recommended (Q4): <4B
View all NVIDIA RTX 3060 Laptop models →

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

The NVIDIA RTX 5070 is the clear winner for local AI. It provides both 6 GB more VRAM and higher memory bandwidth (672 GB/s vs 192 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 5070, but NOT on NVIDIA RTX 3060 Laptop

These models run entirely in GPU VRAM on the NVIDIA RTX 5070, but require slow system RAM offload on the NVIDIA RTX 3060 Laptop:

Model Size Downloads NVIDIA RTX 5070 NVIDIA RTX 3060 Laptop
unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF 30.53B 12,866,779 Fits in VRAM Offload (Slow)
unsloth/gpt-oss-20b-GGUF 20.91B 544,532 Fits in VRAM Offload (Slow)
bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF 15.71B 455,099 Fits in VRAM Offload (Slow)
unsloth/Qwen-AgentWorld-35B-A3B-GGUF 34.66B 435,428 Fits in VRAM Offload (Slow)
Qwen/Qwen3-8B-GGUF 8.19B 405,506 Fits in VRAM Offload (Slow)
bartowski/Kwaipilot_KAT-Coder-V2.5-Dev-GGUF 34.66B 397,259 Fits in VRAM Offload (Slow)
MaziyarPanahi/Qwen3-14B-GGUF 14.77B 264,741 Fits in VRAM Offload (Slow)
MaziyarPanahi/Qwen3-30B-A3B-GGUF 30.53B 259,143 Fits in VRAM Offload (Slow)

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