Independent benchmarks comparing AI models and API providers on quality, speed, price and context length, with free charts and leaderboards.
Why I recommend it: Free to browse; the company sells API access to its data. Rankings depend on which tests they choose — compare with a second benchmark source before deciding.
Open-source "System 1" decision engine: typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
Why I recommend it: Free and open source, but an individual developer's project — check the commit history and issue activity before relying on it for anything important.
A Jev-like family of small decision models built on Qwen that you can train and run on your own hardware, from Jared Palmer.
Why I recommend it: Free and open source. Running it yourself means paying for your own compute; the models are small enough for a laptop or a cheap server.
No-code AI agent builder with a free tier: one agent, 1,000 runs/month, access to 200+ models through the MindStudio router, and a library of tutorials and past trainings. Paid plans add unlimited agents and runs.
Personal site of Ian Duncan, a software engineer and entrepreneur writing about engineering, AI and life. Essays range from a beginner-friendly guide to AI models to critical takes on AI culture and the apocalypse narrative.