Best GPUs for Running AI Models in 2026
The definitive guide to choosing a GPU for local AI inference. Ranked by VRAM, price-to-performance, and real-world model compatibility.
Quick Recommendations by Use Case
| Use Case | Min VRAM | Recommended GPU | Models |
|---|---|---|---|
| Running 7B LLMs (Llama, Mistral) | 6GB | Intel Arc B580 (12GB, $250) | View models |
| Running 13B–32B LLMs | 16GB | RX 7800 XT (16GB, $499) | View models |
| Running 70B LLMs | 24GB | RTX 4090 (24GB, $1599) or RX 7900 XTX (24GB, $999) | View models |
| Stable Diffusion XL | 12GB | RTX 4070 (12GB, $549) | View models |
| Flux.1 Image Generation | 16GB | RTX 4070 Ti SUPER (16GB, $799) | View models |
| Video Generation (CogVideoX, Mochi) | 24GB | RTX 4090 (24GB, $1599) | View models |
| Whisper Speech-to-Text (Large) | 10GB | RTX 4060 (8GB, $299) for Turbo; any GPU for Tiny | View models |
| Local Coding Assistant | 6GB | Any 8GB+ GPU — Qwen Coder 7B runs great | View models |
Entry Level
Under $300Mid Range
$300–600High End
$600–1000Flagship
$1500+Apple Silicon
VariesM4 MacBook Pro (24GB)
8.5/10
24GB
VRAM
$1999
MSRP
Silent, portable. 13B Q8, 32B Q4
M4 Pro MacBook Pro (48GB)
9/10
48GB
VRAM
$2899
MSRP
32B Q8, 70B Q4. Best laptop for AI
M4 Max MacBook Pro (128GB)
8.8/10
128GB
VRAM
$4999
MSRP
70B Q8, 405B Q4. Desktop-class
Don't Want to Buy Hardware?
Cloud GPUs let you run any model without buying hardware. Pay by the hour, cancel anytime.
Heavy Use (40hr/mo)
vs buying a GPU
~$10-18/mo
Cloud pays for itself if you use <50 hrs/month