On Monday, Karl Kahn, a Washington, D.C., resident, lodged a federal suit against Anthropic, alleging the AI firm misrepresented the capacity of its Claude Max subscription plans. Kahn’s complaint centers on the Max 5x and Max 20x tiers, which the company markets as delivering five‑ and twenty‑fold higher usage limits than its entry‑level Claude Pro offering.
Claude Pro, priced at $17 per month, promises "at least five times the usage per session compared to our free service" during peak hours. The plan’s website notes that message limits vary with prompt length, attached files, conversation history, and the specific model or feature in use. In April 2025, Anthropic expanded its lineup with the Max 5x and Max 20x plans, priced at $100 and $200 per month respectively, each touting dramatically higher usage caps.
According to the lawsuit, the reality falls short of those promises. Kahn upgraded to the Max 20x tier in April of this year, only to encounter weekly usage caps within hours of use. A five‑hour session, he says, consumed roughly 15 percent of his weekly allowance, a rate he deems inconsistent with the advertised "twenty‑times" multiplier. The complaint seeks class‑action status for other American consumers who purchased a Max subscription since the plans launched last year.
Anthropic declined to comment on the filing. The company’s rate‑limit policies have already sparked discussion on platforms such as Reddit, where users report hitting five‑hour limits after a single Claude Code prompt. In July of the previous year, Anthropic imposed weekly caps on Claude Code after some users ran the coding agent continuously, 24/7, prompting concerns about resource consumption.
All large‑language models, including Claude, operate on a token‑based currency. Tokens translate words, punctuation, and character groups into numerical representations that the model processes. Both input and output tokens incur computational costs, which can vary widely depending on prompt complexity. The lawsuit highlights a growing disconnect between consumer expectations—shaped by familiar software subscription models—and the actual compute expenses of delivering AI services at scale.
Industry observers note that venture‑capital funding currently cushions the high operational costs of AI inference. However, as Anthropic and rival OpenAI prepare for public offerings, the pressure to align pricing with transparent usage metrics may intensify. The outcome of Kahn’s suit could set a precedent for how AI firms disclose subscription limits and manage consumer expectations moving forward.
This article was written with the assistance of AI.
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