NVIDIA RTX 5070 vs NVIDIA RTX 3050 Ti 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 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: 30 popular models
- Power Draw (TDP): 250W
- Largest recommended (Q4): 14B
NVIDIA · Mobile
4 GB VRAM
NVIDIA RTX 3050 Ti Laptop
- Memory Bandwidth: 128 GB/s (GDDR6)
- Fits fully in VRAM: 19 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 8 GB more VRAM and higher memory bandwidth (672 GB/s vs 128 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 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 Laptop:
| Model | Size | Downloads | NVIDIA RTX 5070 | NVIDIA RTX 3050 Ti Laptop |
|---|---|---|---|---|
| unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF | 30.53B | 12,866,779 | Fits in VRAM | Offload (Slow) |
| unsloth/Ornith-1.0-9B-GGUF | 0.0B | 546,691 | Fits in VRAM | Offload (Slow) |
| unsloth/gpt-oss-20b-GGUF | 20.91B | 544,532 | Fits in VRAM | Offload (Slow) |
| LiquidAI/LFM2.5-8B-A1B-GGUF | 8.47B | 525,805 | 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) |
| bartowski/Meta-Llama-3.1-8B-Instruct-GGUF | 8.03B | 307,422 | 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) |
Other Popular GPU Comparisons
RTX 3060 12GB vs RTX 4060 8GB
Compare VRAM & Models →
RTX 4060 Ti 16GB vs RTX 4070 12GB
Compare VRAM & Models →
RTX 3090 24GB vs RTX 4090 24GB
Compare VRAM & Models →
RTX 4070 Super vs RTX 4070 Ti Super
Compare VRAM & Models →
RTX 5090 32GB vs RTX 4090 24GB
Compare VRAM & Models →
RTX 4080 Super 16GB vs RTX 4090 24GB
Compare VRAM & Models →
RTX 3060 12GB vs RTX 4060 Ti 16GB
Compare VRAM & Models →
AMD RX 7900 XTX vs NVIDIA RTX 4090
Compare VRAM & Models →