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
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
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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