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

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.