this just isn't sustainable.
Summary
A user reports that using a GPT model (possibly GPT-5.5) for a spreadsheet task cost $10 in heavily subsidized tokens, with actual compute cost estimated at $100, arguing that current AI pricing is unsustainable.
Similar Articles
GPT-5.5 may burn fewer tokens, but it always burns more cash
OpenAI's GPT-5.5 costs 49–92% more than GPT-5.4 in practice despite claimed token efficiency improvements, while Anthropic's Claude Opus 4.7 also raised effective costs by 12–27% for longer prompts, reflecting a broader trend of rising frontier model prices as both companies face massive projected losses.
Every AI prompt costs money — and that changes everything
The article argues that the real challenge in AI isn't just building smarter models but making them cost-efficient at scale, highlighting the importance of reducing token usage, improving speed, and optimizing infrastructure.
How I'm charged for AI usage feels broken.
The author argues that current AI usage pricing models are broken because users are charged for hidden 'thinking' tokens that are not visible to them, creating a trust-me billing system. They propose that labs should either adjust output token pricing or bill explicitly for compute.
Help - I'm spending $100/day on AI
A user shares their experience spending over $100/day on AI tokens via OpenRouter, primarily for coding tasks, and asks for cost reduction advice.
The Unsustainable Subsidy (1 minute read)
An analysis of how Google, OpenAI, and Anthropic are adjusting their AI model pricing strategies as cash constraints and high capex spending drive price increases, ending the era of subsidized AI.