🔍 Read the full analysis: What SemiAnalysis Found About The 5X And AI Subscription Prices on ThorstenMeyerAI.com
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TL;DR
SemiAnalysis measured token allowances across major AI subscriptions and compared them with first-party API list prices. Its analysis estimates that Claude plans deliver roughly 5.4–5.6 times the API-equivalent value of comparable ChatGPT plans on the tested mid-tier models, while recent price and allowance changes complicate the comparison.
SemiAnalysis has compared AI subscription limits with the cost of equivalent usage at each provider’s API list prices, estimating that Claude plans provide roughly 5.4–5.6 times the API-equivalent value of similarly priced ChatGPT plans on the mid-tier models it tested. The report also documents recent changes to OpenAI and Anthropic prices and allowances, making the result a snapshot of limits that may change again.
SemiAnalysis says it measured how providers’ usage meters moved across token types, then converted the measured allowances into estimated API costs. Its comparison covers subscriptions from Anthropic and OpenAI, as well as plans from Meta, SpaceXAI, Cursor, Cognition, Z.ai, MiniMax and Moonshot. The headline comparison uses an agentic coding workload made up mostly of cached input: the report describes roughly 96.6% cached input, 2.6% cache writes, 0.4% fresh input and 0.3% output.
At the $20 tier, SemiAnalysis estimates that Claude Pro’s allowance for Opus 5.5 represents $1,178 in API-priced usage, compared with $211 for ChatGPT Plus using GPT-6.1 Sol. At $100, it estimates $5,725 for Claude Max 5x against $1,055 for ChatGPT Pro 100. At $200, the estimates are $11,726 for Claude Max 20x and $2,084 for ChatGPT Pro 200. The resulting ratios range from about 5.4 to 5.6 times, using the report’s method and selected workload.
The figures are not cash rebates or guaranteed savings. They represent a modeled cost for the full measured monthly allowance, priced at API list rates. SemiAnalysis notes that Opus 5.5 costs more per token than GPT-6.1 Sol, which raises the dollar value attributed to Claude; it says the gap also remains substantial when comparing raw token amounts. At the frontier tier, the report finds a closer comparison: it says a $200 OpenAI plan’s Astra allowance equates to about $2,897 at API prices, while Fable 5.1 uses half of a Claude plan’s limit at an estimated $2,485.
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 Depends on Model Mix
The comparison matters to subscribers because a plan’s advertised monthly price alone does not show how much usable capacity it provides for a particular model or workload. A customer doing sustained coding-agent work may see a different practical value from someone using frontier models, mixing several models, or hitting short-term limits. SemiAnalysis says OpenAI Pro plans do not impose a five-hour usage window, which could let heavy users spend more of their monthly allowance in bursts; the report says this advantage does not erase the estimated mid-tier gap.
The analysis also connects generous allowances to provider economics. SemiAnalysis estimates that subscriptions account for about 10% of Anthropic revenue while consuming more than 40% of its inference compute, lowering blended revenue per megawatt by an estimated $36 million. These are the report’s estimates, not audited disclosures. Under its assumptions, including 92% API gross margins, a fully used Opus 5.5 subscription would have an estimated gross margin of about −369%; the corresponding Fable 5.1 estimate is about 1%. At 20% average utilization, the report estimates margins of roughly 6% for Opus and 80% for Fable.
Those estimates suggest why subscription value can vary sharply by model and usage. If most consumption shifts to expensive premium models, the provider may bear a larger cost; if subscribers use less compute or choose cheaper models, the economics change. SemiAnalysis says subscriptions make up a larger share of OpenAI revenue, but the supplied material does not give a comparable quantified estimate of OpenAI’s subscription compute burden.
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Recent Price Cuts Changed the Baseline
SemiAnalysis’s comparison follows a reduction in OpenAI’s $200 plan allowance. The report says token limits were roughly halved across model tiers. For GPT-6.1 Sol, it estimates that API-equivalent value fell by more than half because OpenAI also lowered Sol’s cached-input API price. Existing subscribers to the $200 plan are reported to retain their earlier limits until October 29; the new limits apply immediately to new purchases.
OpenAI also introduced a $500 tier. SemiAnalysis estimates that it provides about 21% more Astra allowance than the former $200 plan, but less Sol-class API-equivalent value, and identifies a 300-token-per-second “Ultrafast” mode as a potential selling point that it was still testing. The report says OpenAI removed “5x more usage” and “20x more usage” multipliers from its pricing page. It also describes the revised Pro tiers as returning similar tokens per dollar, rather than increasing progressively with price.
Anthropic’s model price changes altered the comparison too. According to SemiAnalysis, Fable 5.1’s cache-read price fell 75% compared with Fable 5, without a corresponding increase in its subscription token limits. Opus 5.5’s input and output prices fell 20%, and its cache-read price fell 60% compared with Opus 5. The report says Opus allowances rose about 20% on Max and 50% on Pro, but not enough to offset the API price reductions fully. It says OpenAI did not raise Sol limits when GPT-6.1 shipped, contributing to an estimated 30% decline in API-equivalent value on the $200 plan.
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Usage and Costs Remain Variable
The reported ratios depend on the workload, measured allowances, model selection and API prices used in the calculation. SemiAnalysis emphasizes a cached-input-heavy agentic workload; users with different mixes of fresh input, cache writes and output could receive different API-equivalent estimates. Actual subscriber usage also varies, so a plan’s modeled maximum value is not the same as the value every customer realizes.
The material does not provide independent audits of provider usage meters, subscription revenue or inference costs. It describes some financial figures as rough estimates and says OpenAI’s Ultrafast mode was still being tested. The comparison is also time-sensitive: further changes to list prices, plan limits or model availability could alter the ratios. The provided source ends mid-sentence, so any subsequent findings or qualifications in the full report are not available here.
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Future Plan Changes May Shift Estimates
SemiAnalysis said it was still testing OpenAI’s Ultrafast mode, so the report does not establish how that feature affects practical plan value. The next dated change identified in the source is October 29, when existing $200 ChatGPT Pro subscribers are due to lose their earlier allowance, according to the report. Subscribers and prospective customers can compare the current plan limits and model-specific terms as providers revise them; the supplied material does not identify another scheduled pricing announcement.
For now, the report’s ratios should be read as estimates tied to stated models, prices and usage assumptions. Whether the gap persists will depend on providers’ future limits and prices, as well as which models customers use and how much of their monthly capacity they consume.
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Key Questions
What did SemiAnalysis measure?
It measured subscription usage meters across token types and converted estimated allowances into costs at first-party API list prices. Its headline comparison uses a cached-input-heavy agentic coding workload.
How large is the estimated Claude and ChatGPT gap?
For the selected mid-tier models, SemiAnalysis estimates Claude plans deliver about 5.4–5.6 times the API-equivalent value of comparable ChatGPT plans. The estimate depends on the report’s workload and pricing method.
Does that mean Claude subscribers save five times as much money?
No. The ratio compares the modeled API list-price value of a plan’s full allowance with the subscription fee. It is not a cash saving, and a subscriber’s realized value depends on actual usage and model choice.
What changed in OpenAI’s $200 plan?
SemiAnalysis says OpenAI roughly halved token allowances across model tiers. Existing subscribers keep the former limits until October 29, while new purchases receive the lower limits immediately, according to the report.
Why do the report’s estimates matter to providers?
They indicate that heavy use of premium models may cost providers more to serve than subscriptions bring in. SemiAnalysis estimates a substantial compute burden for Anthropic subscriptions, though the figures rely on its assumptions rather than audited provider disclosures.
Source: ThorstenMeyerAI.com
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