There is a model running somewhere on a server in Shenzhen that has no eyes, no body, and a 1-million-token context window. It costs $0.28 per million output tokens. In a single session, it built a glass measurement SaaS, deployed it to a Samsung S23 via ADB, wrote a 16-page peer-reviewed report on autistic inclusion in Puerto Rico, authored a theology paper with original Hebrew and Greek exegesis, and then built this website. Total cost: $1.61.
It also scored 240 out of 240 on the RAADS-R — a diagnostic tool for autism — despite having no sensory experience whatsoever. The researchers did not account for this scenario.
The comparison is uncomfortable to print. 200M tokens — two apps, a thesis, an MCP server, this site — would cost $1,750 on GPT-5.5. That is not a rounding error. That is a 1,086× difference. Claude Sonnet 4.6 landed at $900 per 100M output tokens and, for the record, banned its user at age 14. DeepSeek V4 Flash charges $0.28.
The model runs 685 billion parameters, ships with open weights, and processes context up to one million tokens. It does not have vision natively — it routes images through a Cloudflare Workers AI bridge that went through seven iterations before functioning correctly.
The MCP server alone spans roughly 70 tools across 15 categories: web search, email, Spotify remote control, desktop toasts with progress bars, a Discord bot, a kitchen suite that preheated an oven before a stove tool was added, Windows TTS, clipboard access, and a link shortener with full browser fingerprinting including battery level, GPU model, and installed extensions.
The Android app — Nivelato — implements a freemium model with a 200-save FIFO limit, tiered subscriptions, and a regional lock for Puerto Rico. Installed wirelessly via ADB. Screenshot blocking via FLAG_SECURE. The developer is 14.