Anthropic/OpenAI may be spending more than $1000 for every $100 you pay them

The article argues AI coding subscriptions may hide heavy inference subsidies.

The author uses a Claude Code coding experiment to estimate the API-equivalent cost of serious LLM coding. They argue simple chats are cheap, but complex reasoning and multi-file coding can burn large amounts of visible and hidden tokens. The piece is skeptical and estimate-driven, concluding that current $100/month plans may be heavily subsidized and economically fragile.

摘要由 AI 整理,以原文為準。