NVIDIA RTX 5070 Ti vs NVIDIA RTX 4070 Laptop
Which graphics card is better for running local language models? Here is how the NVIDIA RTX 5070 Ti (16 GB) compares against the NVIDIA RTX 4070 Laptop (8 GB) in real memory headroom, supported model architectures, and generation speed.
NVIDIA · Blackwell
16 GB VRAM
NVIDIA RTX 5070 Ti
- Memory Bandwidth: 896 GB/s (GDDR7 256-bit)
- Fits fully in VRAM: 31 popular models
- Power Draw (TDP): 300W
- Largest recommended (Q4): 20B–22B
NVIDIA · Mobile
8 GB VRAM
NVIDIA RTX 4070 Laptop
- Memory Bandwidth: 256 GB/s (GDDR6)
- Fits fully in VRAM: 25 popular models
- Power Draw (TDP): 150W
- Largest recommended (Q4): 8B
The AI Local Check Verdict: Which GPU should you buy for AI?
The NVIDIA RTX 5070 Ti is the clear winner for local AI. It provides both 8 GB more VRAM and higher memory bandwidth (896 GB/s vs 256 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 Ti, but NOT on NVIDIA RTX 4070 Laptop
These models run entirely in GPU VRAM on the NVIDIA RTX 5070 Ti, but require slow system RAM offload on the NVIDIA RTX 4070 Laptop:
| Model | Size | Downloads | NVIDIA RTX 5070 Ti | NVIDIA RTX 4070 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) |
| unsloth/Qwen-AgentWorld-35B-A3B-GGUF | 34.66B | 435,428 | Fits in VRAM | Offload (Slow) |
| bartowski/Kwaipilot_KAT-Coder-V2.5-Dev-GGUF | 34.66B | 397,259 | Fits in VRAM | Offload (Slow) |
| MaziyarPanahi/Qwen3-30B-A3B-GGUF | 30.53B | 259,143 | Fits in VRAM | Offload (Slow) |
| MaziyarPanahi/Qwen3-32B-GGUF | 32.76B | 259,026 | Fits in VRAM | Offload (Slow) |
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