🔍 Read the full analysis: What The 5X Reveals About The Economics Of AI Subscriptions on ThorstenMeyerAI.com
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TL;DR
SemiAnalysis measured usage limits across major AI subscriptions and estimated that Claude’s mid-tier plans provide about 5.4 to 5.6 times as much usage at equivalent API list prices as comparable ChatGPT plans. The report also finds that subscriptions can use far more inference compute than their revenue share suggests, raising questions about how long high usage allowances can last.
SemiAnalysis has published a comparison of usage limits across major AI subscriptions, estimating that Claude’s mid-tier plans deliver roughly five to six times the API-priced usage of comparable ChatGPT plans on an agentic coding workload. The report matters because it links those allowances to inference costs, suggesting that high subscription value may be difficult for providers to sustain as usage and model prices change.
The analysis tested how providers’ usage meters move across token types, then valued the estimated allowances using each provider’s first-party API list prices. In its central comparison, SemiAnalysis estimates that a $20 Claude Pro plan corresponds to about $1,178 in API usage for Claude Opus 5.5, while a $20 ChatGPT Plus plan corresponds to about $211 for GPT-6.1 Sol. At the $100 and $200 tiers, it reports similar ratios: Claude’s estimated value is about 5.4 to 5.6 times the comparable ChatGPT figure.
Those figures apply to a workload dominated by cached input: the report describes roughly 96.6% cached input, 0.4% fresh input, 2.6% cache writes and 0.3% output. Because Opus costs more per token than Sol, API pricing increases the dollar-value gap; SemiAnalysis says the difference also remains large when measured in raw tokens. The report’s method values the plan’s full estimated monthly limit, so the figures are not a promise that every subscriber can or will use that amount.
At the frontier tier, the comparison is closer. SemiAnalysis says a $200 ChatGPT plan’s GPT-6 Astra allowance would amount to about $2,897 at API prices. The same-priced Claude plan is estimated to use about half its limit with Fable 5.1 at a value of $2,485; the remaining capacity can be used for Opus or Sonnet. OpenAI’s plans also lack the five-hour usage window that applies to some Claude limits, which may matter to users who concentrate activity into short bursts.
The 5x is a subsidy, not a price
SemiAnalysis metered the meters — every major AI subscription, token type by token type, converted to API list value. On the mid-tier models both labs call the daily driver, a Claude plan returns ~5–6× the API value of the matching ChatGPT plan. Real — and the least durable number in the report.
…and the plan is fully exhausted. One pool for every model.
…and the plan is only half used — Fable is capped at 50% of the limit, leaving the rest for Opus/Sonnet. That’s where the mid-tier gap compounds.
- $200 plan halved — Sol-class value down >50% (6.1 Sol cache price cut compounds it)
- Old limits kept until 29 October; new buyers cut immediately
- New $500 tier: only +21% Astra vs the old $200 — real draw is 300 TPS Ultrafast
- Ladder flattened: Pro 100/200/500 now identical per dollar; multipliers removed from pricing page
- In OpenAI’s favour: no 5-hour window on Pro plans — easier to use the full allowance
- Flat per-dollar value across all tiers, before and after
- New premium models placed at lower relative limits (Fable capped at 50%)
- Opus allowances raised ~20% (Max) / ~50% (Pro) with the 5.5 price cut — not enough to fully offset it
- Repeatedly walked back planned cuts earlier this year under pressure from OpenAI’s generosity
- Twelve months ago, OpenAI was the generous option. Positions swap.
Gross margin per plan, assuming 92% API gross margins. The subsidy lives almost entirely in Opus and Sonnet usage — Anthropic would already be near software-like subscription margins if everyone used only Fable. Subscriptions matter even more for OpenAI, where they’re a larger share of revenue.
Three identical subscriptions; one had ~20% lower limits. The provider (unnamed) confirmed an “extremely tiny” A/B test on limit balancing. Two lessons: limits can change silently, per account, at any time — and you won’t know without instrumentation. The usage bar is a percentage, not a contract.
If you’re choosing a plan this month for agentic coding on a mid-tier model, the report settles it: a Claude plan returns ~5–6× the API value of the matching ChatGPT plan. But a plan returning 58× its fee on a model served at a steeply negative margin for heavy users is a marketing budget with a usage meter. Value moves silently, gets A/B tested per account, and twelve months ago ran the other way. Use the subsidy while it exists — it’s genuinely large. Don’t build a cost model on it. Price workloads at API rates, keep a router between you and any one vendor, and benchmark open weights on your own hardware for steady volume. A deal you can’t verify isn’t a price. It’s weather.
Subscription Value Meets Compute Costs
The estimated value gap is only part of the economic picture. SemiAnalysis estimates that subscriptions make up about 10% of Anthropic revenue while using more than 40% of its inference compute. It estimates that this mix reduces blended revenue per megawatt by roughly $36 million. The report says subscriptions are a larger share of OpenAI’s revenue, though it does not provide a comparable figure in the supplied material.
These estimates help explain why providers may adjust limits when API prices fall or new models arrive. SemiAnalysis calculates that a fully used Opus 5.5 subscription could have a gross margin of about minus 369%, assuming 92% API gross margins. Its estimate for a fully used Fable 5.1 plan is about 1%. At 20% average utilization, the report puts those margins at roughly 6% and 80%, respectively. These are modeled outcomes based on stated assumptions, not audited subscription-level results.
For subscribers, the distinction is practical: a lower API price does not automatically mean a subscription includes more usage. Providers can lower list prices while keeping allowances flat, reducing the API-equivalent value of a plan without changing its monthly fee. The report’s measurements show why plan limits, model availability and usage windows all matter alongside headline prices.
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Recent Changes to Plan Limits
The comparison reflects a recent change to OpenAI’s subscription lineup. According to SemiAnalysis, OpenAI roughly halved token allowances on its $200 plan. Existing subscribers were set to keep their previous limits until October 29, while new purchases received the lower limits immediately. The report says the value decline for Sol-class models exceeded half because OpenAI also cut GPT-6.1 Sol’s cached-input price.
OpenAI introduced a $500 tier that SemiAnalysis estimates provides about 21% more Astra usage than the previous $200 plan, but less Sol-class API-equivalent value. The report identifies a 300-token-per-second “Ultrafast” mode as the tier’s main differentiator and says it was still testing that feature. OpenAI also removed “5x more usage” and “20x more usage” multipliers from its pricing page, according to the analysis.
Anthropic has also reduced API prices. SemiAnalysis reports that Fable 5.1 cut cache-read prices by 75% compared with Fable 5, while Opus 5.5 cut input and output prices by 20% and cache reads by 60% compared with Opus 5. The report says Fable’s token limits did not rise when the new model launched; Opus allowances increased about 20% on Max and 50% on Pro, less than enough to fully offset the price reductions. It also says GPT-6.1 Sol launched without a corresponding limit increase.
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Limits and Cost Estimates
The reported API-equivalent values are estimates derived from metered usage and published list prices. The supplied material does not establish how representative the tested workload is of all subscribers, how many customers reach their limits, or whether list prices match providers’ actual serving costs. The gross-margin calculations also depend on modeled utilization and the report’s assumption about API margins.
It remains unclear whether providers will change allowances again, how the new $500 tier performs in practice, and how frequently users encounter plan windows or other restrictions. The report also does not provide a full side-by-side revenue and compute breakdown for every provider it tested.
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How Providers Adjust Allowances
The next useful evidence will be observed usage limits after the announced plan changes take effect, alongside more data on how customers use each model and how often they exhaust their allowances. SemiAnalysis says it was still testing OpenAI’s Ultrafast mode; its eventual measurements could clarify whether speed materially changes the value of the $500 tier.
Subscribers can compare plan limits, eligible models and usage windows as providers update their offerings. Further price cuts will change API-equivalent values only if subscription allowances also change, making future limit updates a key measure of how providers balance customer acquisition against inference costs.
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Key Questions
What does the reported five-to-six-times figure compare?
It compares estimated monthly subscription allowances for Claude and ChatGPT on an agentic coding workload, valued at each provider’s API list prices. SemiAnalysis reports a ratio of about 5.4 to 5.6 times for the mid-tier comparisons it describes.
Does that mean Claude subscribers receive five times more tokens?
Not necessarily. The headline figure is based on API-equivalent dollar value, which reflects different model prices. SemiAnalysis says the gap also remains large in raw tokens, but the supplied material does not give a single token multiplier that applies across workloads.
Why can a lower API price reduce subscription value?
If a provider cuts the API price per token but keeps a plan’s token allowance unchanged, that allowance is worth less when calculated at the new list price. SemiAnalysis says this occurred with several model and plan changes.
Are the gross-margin figures confirmed company results?
No. They are SemiAnalysis estimates based on assumptions including API gross margins and subscriber utilization. The supplied source material does not identify them as audited financial results.
Source: ThorstenMeyerAI.com
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