Can my PC run this LLM?
Type your GPU or Mac chip — see the models that actually run, their quant, the memory they need and an estimated tok/s band.
Popular picks
How it works
- Memory: weights + KV cache + compute buffer against what your GPU (or unified memory) can actually use.
- Speed: a memory-bandwidth model calibrated against 155 public benchmarks.
- Every number carries a band and a confidence label — measured, calibrated or theoretical.
Every number on this site ships with an error band and a confidence label: measured, calibrated (±12% for NVIDIA and AMD GPUs running a dense model fully on the GPU, ±20% otherwise), or theoretical (±30%).
Popular combos
Popular GPUs and Macs
- GeForce RTX 5090
- GeForce RTX 5080
- GeForce RTX 5070 Ti
- GeForce RTX 5070
- GeForce RTX 5060 Ti 16GB
- GeForce RTX 5060
- GeForce RTX 4090
- GeForce RTX 4070
- GeForce RTX 4060
- GeForce RTX 3090
- GeForce RTX 3060 12GB
- Radeon RX 9070 XT
- Radeon RX 9060 XT 16GB
- Radeon RX 7900 XTX
- GeForce RTX 4060 Laptop
- Apple M4
- Apple M4 Pro
- Apple M4 Max (40-core GPU)
- Apple M5
- Apple M5 Pro
- Apple M5 Max (40-core GPU)
- Apple M6
- Ryzen AI Max+ 395 (Strix Halo)
- NVIDIA DGX Spark
- DDR5-5600 dual-channel CPU
Popular models
- Gemma 4 26B-A4B
- Gemma 4 31B
- Gemma 4 E2B
- Gemma 4 E4B
- GLM-5.3 Flash
- gpt-oss-120b
- gpt-oss-20b
- Llama 3.1 8B
- Qwen3 14B
- Qwen3 30B-A3B (2507)
- Qwen3 8B
- Qwen3.5 35B-A3B
- Qwen3.5 4B
- Qwen3.5 9B
- Qwen3.6 35B-A3B
- Qwen3.8 27B
- DeepSeek R1 0528 Qwen3 8B
- DeepSeek R1 Distill Qwen 32B
- DeepSeek V4 Flash 0731
- EXAONE 4.5 33B
- Gemma 3 12B
- Gemma 3 27B
- Gemma 4 12B
- Llama 3.2 3B
- Llama 3.3 70B
- Mistral Small 3.2 24B
- Muse Glimmer 30B
- Phi-4
- Qwen3 32B
- Qwen3.5 27B
- Qwen3.6 27B