Wondering whether your graphics card can run a given local LLM? This is the quick-answer matrix. Rows are GPUs (by VRAM), columns are popular open models (by size). A ✅ means the model fits in that card’s VRAM at Q4_K_M quantization — the recommended balance of quality and size. Pick your VRAM from the filter, or click any cell for the full breakdown: exact VRAM, expected tokens/sec, the right quant level, and (if it doesn’t fit) the cheapest GPU that does.
| GPU ↓ / Model → | Llama 3.2 3B3B · 2.2GB | Qwen 2.5 7B7B · 4.5GB | Llama 3.1 8B8B · 5GB | Gemma 3 12B12B · 7.5GB | Phi-4 14B14B · 8.5GB | Qwen 2.5 14B14B · 8.5GB | Mistral Small 3 24B24B · 14GB | Gemma 2 27B27B · 16GB | Qwen 2.5 32B32B · 19GB | DeepSeek Coder V2 33B33B · 19.5GB | Llama 3.3 70B70B · 40GB | Qwen 2.5 72B72B · 41GB |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RTX 4060 8GB8GB · ~$300 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
| RTX 3080 10GB10GB · ~$400 used | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
| RTX 3060 12GB12GB · ~$300 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
| RTX 4070 12GB12GB · ~$550 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
| RTX 4060 Ti 16GB16GB · ~$450 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ |
| RTX 4070 Ti Super 16GB16GB · ~$800 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ |
| RTX 4080 Super 16GB16GB · ~$1,000 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ |
| RTX 3090 24GB24GB · ~$800 used | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
| Radeon RX 7900 XTX 24GB24GB · ~$900 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
| RTX 4090 24GB24GB · ~$1,800 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
| RTX 5090 32GB32GB · ~$2,000+ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
| Mac Studio M4 Max 128GB128GB · ~$3,500 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
✅ = fits in VRAM at Q4_K_M quantization (the recommended balance of quality and size). Click any cell for the full breakdown, expected tokens/sec, and the cheapest GPU that runs it. Estimates — verify against the hardware checker.
How to use this
- Know your card? Find its row and scan across — green cells are models you can run today.
- Shopping for a GPU? Find the model you want to run, then pick the cheapest card with a ✅ in that column.
- Want the exact numbers? Use the LLM Hardware Checker (your GPU + RAM → every model you can run) and the VRAM requirements table.
New to running models locally? Start with the Local LLMs in 2026 guide.