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The article critiques the restrictive nature of current AI pricing models, highlighting how daily quotas and stacked limits hinder productivity and user trust.
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.
The article analyzes a series of chaotic pricing and plan adjustments by Anthropic, OpenAI, and GitHub in April, attributing them to the struggle of aligning legacy subscription models with new, high-cost agent usage patterns.