GPU HEAD-TO-HEAD

NVIDIA RTX 5070 vs NVIDIA RTX 3050 Ti / 3050 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 3050 Ti / 3050 Laptop (4 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: 33 popular models
Power Draw (TDP): 250W
Largest recommended (Q4): 14B

View all NVIDIA RTX 5070 models →

NVIDIA · Ampere 4 GB VRAM

NVIDIA RTX 3050 Ti / 3050 Laptop

Memory Bandwidth: 192 GB/s (GDDR6 128-bit)
Fits fully in VRAM: 20 popular models
Power Draw (TDP): 80W
Largest recommended (Q4): <4B

View all NVIDIA RTX 3050 Ti / 3050 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 8 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 3050 Ti / 3050 Laptop

These models run entirely in GPU VRAM on the NVIDIA RTX 5070, but require slow system RAM offload on the NVIDIA RTX 3050 Ti / 3050 Laptop:

Model	Size	Downloads	NVIDIA RTX 5070	NVIDIA RTX 3050 Ti / 3050 Laptop
bartowski/Qwen2.5-32B-Instruct-GGUF	32.76B	883,766	Fits in VRAM	Offload (Slow)
Qwen/Qwen3-8B-GGUF	8.19B	720,434	Fits in VRAM	Offload (Slow)
unsloth/gpt-oss-20b-GGUF	20.91B	580,818	Fits in VRAM	Offload (Slow)
unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF	30.53B	473,791	Fits in VRAM	Offload (Slow)
unsloth/Ornith-1.0-9B-GGUF	0.0B	384,744	Fits in VRAM	Offload (Slow)
bartowski/Meta-Llama-3.1-8B-Instruct-GGUF	8.03B	370,635	Fits in VRAM	Offload (Slow)
Qwen/Qwen3-14B-GGUF	14.77B	349,219	Fits in VRAM	Offload (Slow)
bartowski/Kwaipilot_KAT-Coder-V2.5-Dev-GGUF	34.66B	284,786	Fits in VRAM	Offload (Slow)
unsloth/GLM-4.7-Flash-GGUF	31.22B	246,319	Fits in VRAM	Offload (Slow)
unsloth/flint-GGUF	39.79B	232,764	Fits in VRAM	Offload (Slow)
unsloth/Qwen-AgentWorld-35B-A3B-GGUF	34.66B	229,606	Fits in VRAM	Offload (Slow)
Qwen/Qwen2.5-Coder-14B-Instruct-GGUF	14.77B	193,803	Fits in VRAM	Offload (Slow)
bartowski/Qwen2.5-14B-Instruct-GGUF	14.77B	165,137	Fits in VRAM	Offload (Slow)

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