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Run Llama, Mistral, DeepSeek locally
Quick Answer: For most users, the RTX 4080 Super 16GB ($950-$1,100) offers the best balance of VRAM, speed, and value. Budget builders should consider the RTX 4060 Ti 16GB ($450-$500), while professionals should look at the RTX 4090 24GB.
Running LLMs locally requires sufficient VRAM to hold the model weights. The GPU's memory bandwidth determines inference speed (tokens per second). Here's our tested recommendations for different LLM sizes.
Compare all recommendations at a glance.
| GPU | VRAM | Price | Best For | |
|---|---|---|---|---|
RTX 4060 Ti 16GBBudget Pick | 16GB | $449.99 | Llama 3 8B at ~60 tok/s, Mistral 7B, Qwen 7B | Buy |
RTX 4080 Super 16GBEditor's Choice | 16GB | $1,149.99 | Llama 3 8B at ~120 tok/s, Fast 13B-32B inference | Buy |
RTX 4090 24GBPerformance King | 24GB | $1,600-$2,000 | Llama 3 70B at ~45 tok/s (Q4), DeepSeek-V3 distilled models | Buy |
Detailed breakdown of each GPU option with pros and limitations.
Cheapest way to get 16GB VRAM. Runs all 7B-13B models and handles 32B with Q4 quantization.
Best For
Limitations
Fastest 16GB card. Near-4090 inference speed for models that fit in 16GB.
Best For
Limitations
Only consumer GPU that runs 70B models in a single card. Essential for serious LLM work.
Best For