I Priced Every $100+ AI Subscription. The Full Stack Is Now $1,400 a Month.

TL;DR: I priced every $100-plus AI subscription from the vendors' own pages on one day: ten tiers across seven vendors, and buying the top tier from each costs $1,400 a month. The tell is the pricing convergence: OpenAI, Anthropic, Google, and Cursor now all sell the identical "5x for $100, 20x for $200" ladder. A $200 tier is worth it for exactly one kind of buyer, the one who hits the $20 tier's limits weekly, and the vendors' own numbers say that is a small minority of subscribers.

The $200 AI subscription has gone from an OpenAI oddity to an industry standard price point in eighteen months, and "should I upgrade?" is now a real budget line for solo operators running whole companies on these stacks. So instead of vibes, here is the whole premium market priced from official pages on August 6, 2026, and the three numbers that decide the question.

What does $200 actually buy?

The current premium roster: ChatGPT Pro at $100 and $200 (5x and 20x Plus limits), Claude Max at $100 and $200 (5x and 20x Pro usage, with Claude Code and Cowork), Google AI Ultra at $100 and $200 (5x and 20x AI Pro, with Gemini Spark at the top), Perplexity Max at $200 (top models plus the Comet browser agent at its highest limits), Cursor Ultra at $200 (a literal $400 of model API usage included), GitHub Copilot Max at $100 ($200 in monthly AI credits), and xAI's SuperGrok Heavy at a reported $300.

Ten tiers, $100 to $300, $1,700 a month if you bought them all, $1,400 for one top tier per vendor. That last number matters because the tools overlap almost completely: you are not buying ten capabilities, you are buying the same three capabilities (frontier chat, agentic coding, deep research) with different logos.

Why does every vendor sell the same ladder?

Anthropic invented the 5x/20x structure in April 2025. OpenAI copied it in April 2026. Google matched it a month later, cutting Ultra from $249.99 to $200 in the process. When four competitors converge on identical price points and identical multiplier language, you are looking at a price the market will bear, not a price derived from your usage. Notice also what the multipliers are multiples of: not tokens, not tasks, but "usage" defined however each vendor likes. Cursor denominates it in dollars of API spend, Anthropic in session multiples, GitHub in credits. The one unit no premium tier sells is a number you can compare across vendors.

The ladder is also brand new, which is worth remembering before committing annually. In the last twelve months alone: OpenAI added the $100 Pro tier below its $200 one in April, Google cut Ultra's top price from $249.99 to $200 and split it in May, and GitHub moved every Copilot plan onto credit-metered billing in June while adding its $100 Max tier. Three of seven vendors restructured pricing inside a single quarter, part of a broader one-way ratchet in AI pricing. Whatever you buy today is priced for this month's competitive board, not for your year.

The economics underneath explain the opacity. Sam Altman admitted in January 2025 that "we are currently losing money on openai pro subscriptions! people use it much more than we expected." Ed Zitron's analysis of SemiAnalysis testing put hard numbers on it: maxing out a $200 plan's rate limits can consume roughly $8,000 of Anthropic tokens or $14,000 of OpenAI tokens at API prices. The premium tier is a buffet, priced on the bet that you will not eat like the testers did.

Who actually hits the limits?

Here is the number that answers the headline question. When Anthropic introduced weekly rate limits in 2025, it estimated they would apply to "less than 5% of subscribers". In other words, by the vendor's own math, at least 19 of 20 paying users were not pushing hard enough for caps to matter. The consumer data points the same way: Bango's late-2025 survey of 2,000 American AI subscribers found an average spend of about $66 a month across roughly four subscriptions, with 53% cancel-and-restarting tools as needed, and Bank of America's payments data covering 70 million consumers found only about 3% of households pay for AI at all. The typical AI subscriber is stacking $20 tiers and churning them, not saturating a $200 one.

So the worth-it test is one question: did you hit your $20 tier's limit in three of the last four weeks? If yes, you are the buyer these tiers are built for. If you run agents or agentic coding daily, the math can even become arbitrage: Zitron's point cuts both ways, and a Max subscriber genuinely consuming thousands of dollars of tokens is being subsidized. If no, the upgrade buys headroom you will not use.

Is it worth paying for?

Worth it: heavy Claude Code or Codex users hitting weekly caps, agent builders, and anyone whose $200 replaces real API spend, which is precisely the population the Comet-style browser agents and background assistants are aimed at. Not worth it: chat-first users, who cannot physically consume $200 of chat, and tool collectors, for whom the Bango pattern (four subscriptions, 1.5 used) is the documented outcome. The stack move that survives contact with a budget: one $20 chat tier, one coding tool, upgrade a single vendor to $100 only after you have hit limits twice, and audit the stack quarterly, because this market repriced itself three times in the last twelve months and will do it again. Audit the exit while you are in there, since only 3 of 18 AI terms documents state a post-termination window for retrieving your data.