NVIDIA RTX 4070 / 4060 Laptop vs NVIDIA RTX 3050 Ti / 3050 Laptop
Which graphics card is better for running local language models? Here is how the NVIDIA RTX 4070 / 4060 Laptop (8 GB) compares against the NVIDIA RTX 3050 Ti / 3050 Laptop (4 GB) in real memory headroom, supported model architectures, and generation speed.
NVIDIA RTX 4070 / 4060 Laptop
- Memory Bandwidth: 256 GB/s (GDDR6 128-bit)
- Fits fully in VRAM: 25 popular models
- Power Draw (TDP): 115W
- Largest recommended (Q4): 8B
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
The AI Local Check Verdict: Which GPU should you buy for AI?
The NVIDIA RTX 4070 / 4060 Laptop is the clear winner for local AI. It provides both 4 GB more VRAM and higher memory bandwidth (256 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 4070 / 4060 Laptop, but NOT on NVIDIA RTX 3050 Ti / 3050 Laptop
These models run entirely in GPU VRAM on the NVIDIA RTX 4070 / 4060 Laptop, but require slow system RAM offload on the NVIDIA RTX 3050 Ti / 3050 Laptop:
| Model | Size | Downloads | NVIDIA RTX 4070 / 4060 Laptop | NVIDIA RTX 3050 Ti / 3050 Laptop |
|---|---|---|---|---|
| Qwen/Qwen3-8B-GGUF | 8.19B | 720,434 | 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/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) |