Show HN: Llmspeed – feel how fast a local LLM runs before you buy the hardware

How fast will your local model feel? Browse by hardware NVIDIA RTX 3090 24GB AMD Ryzen AI Max+ 395 128GB (Strix Halo) NVIDIA RTX 5090 32GB NVIDIA RTX 4090 24GB Mac Studio M5 Ultra 512GB MacBook Pro M5 Max 128GB NVIDIA RTX 5060 Ti 16GB NVIDIA DGX Spark 128GB NVIDIA RTX PRO 6000 96GB Mac Studio M3 Ultra 512GB AMD RX 7900 XTX 24GB NVIDIA RTX 3060 12GB Mac Studio M4 Max 128GB NVIDIA RTX 5070 Ti 16GB AMD RX 9070 XT 16GB Intel Arc Pro B70 32GB Mac Mini M4 Pro 64GB AMD Radeon AI PRO R9700 32GB NVIDIA RTX 5080 16GB MacBook Pro M5 Pro 48GB AMD RX 7900 XT 20GB NVIDIA RTX 4070 Ti Super 16GB MacBook M4 Pro 24GB NVIDIA RTX 4070 12GB MacBook M3 Max 48GB CPU-only (Ryzen 9 9950X, 96GB DDR5) MacBook M2 Pro 16GB H100 80GB (cloud) A100 80GB (cloud) H200 141GB (cloud) Browse by model Qwen 3.6/3.8 27B GLM-5.3 Flash GPT-OSS 20B Gemma 4 26B A4B Qwen 3.5/3.6 35B A3B Ornith 1.5 35B A3B DeepSeek V4 Flash GPT-OSS 120B Gemma 4 31B Llama 3.1 8B Qwen 3.5 9B DeepSeek R1 Distill 14B Ornith 1.5 9B Muse Glimmer 30B Qwen3 30B A3B Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.