BestLLMfor: Open-data API of 239 local LLMs, matched to your GPU. Free

Hi PH, I'm Mohamed, solo maker. I run local LLMs on a single RTX 5070 Ti and kept asking the same question: which model fits my VRAM, and how fast will it really be? Every answer was scattered across Reddit threads and model cards. So I built BestLLMfor: - 239 open-weight models with VRAM per quantization, tokens/s estimates per GPU, licence and context, plus 86 GPUs and Macs. - A free open-data API (CC BY 4.0, no key, CORS): https://bestllmfor.com/api/model... - build on it, cache it, fork it. - An MCP server so Claude Desktop or any MCP client can ask "best local LLM for 16 GB VRAM" and get structured data: https://github.com/MGM-FALCON/qu... - 5 calculators: VRAM, local-vs-API cost, quantization recommender, stack budget, API cost explosion. What's next: real measured tokens/s from my bench rig on every new release, and community-submitted benchmarks through the API. Happy to answer anything about local inference, VRAM math, or the data model. Roast welcome.