SemiAnalysis is out with an analysis headlined “Anthropic Subscriptions Offer 5x+ More Value Than OpenAI”, which it described as “limit testing every AI subscription plan” from Anthropic, OpenAI, Meta, SpaceXAI, MiniMax, Moonshot, Zdotai, Cursor, and Cognition.
Its argument is more specific than a blanket “best subscription” ranking. In a follow-up thread, SemiAnalysis said “it doesn't make sense to say a subscription plan is worth $X in isolation”. Instead, it framed a monthly plan as a pool of “credits,” where each model and token type burns through those credits differently, meaning “the ‘value’ of the same plan changes depending on what model and workload you’re running”.
Under that framework, SemiAnalysis said “Opus and Sonnet 5.5 on any Claude plan offer far better per dollar value than all OpenAI plans”. It also said the result was “partly due to OpenAI halving the API-equivalent value of their Pro 200 plan last week”, while adding that “even before that, they were still less generous than Anthropic”.
What the analysis is actually measuring
The key qualifier is that SemiAnalysis is not presenting one fixed dollar value for a subscription in every situation. Its own explanation says the result depends on the model, token type and workload being used. That means the packet supports a narrower claim than a universal reading of the headline: SemiAnalysis made a workload-dependent, API-equivalent value argument, and in its current comparison that method favored Claude plans over OpenAI’s.
That distinction became more explicit in SemiAnalysis’s thread. It said the point of the method was to make “more interesting comparisons across subscriptions,” and gave a workload-specific example rather than claiming every possible use case would produce the same gap. The article packet supports that measurement framing; it does not independently establish that Anthropic subscriptions are always five times better in every practical sense.
Why readers challenged the headline framing
The sharpest criticism in the packet is not that SemiAnalysis ran no comparison, but that readers disputed whether the headline matched the metric. One post said “the headline doesn’t match what the article measures at all”, arguing that a higher API price could make a subscription look more valuable on this chart even without improving the user experience.
Another reaction made a similar, narrower complaint, saying “counting only equivalent API cost would show only half the picture”.
Those responses do not negate SemiAnalysis’s own calculation. They do show the main criticism supported by the packet: some readers argued that API-equivalent cost is only one way to measure subscription value, and that the headline’s “5x+ more value” framing can sound broader than the method described in the article.
Even some narrower reactions still had Claude ahead
The packet also includes at least one reaction that did not reject the overall direction of SemiAnalysis’s comparison, but argued the gap shrinks once other adjustments are made. One post said that “even when adjusting for task cost you are still better off with Claude,” but that “it's no longer a 5x difference” and is instead around “1.3x - 2.9x”.
That is still just one reaction in the packet, not an independent resolution of the dispute. But it points to the same practical issue: the size of the advantage depends on what kind of work is being measured and which limits or costs are included.
For readers trying to compare ChatGPT and Claude plans, the cleanest supported takeaway is that SemiAnalysis argued for a workload-based, API-equivalent way to value subscriptions, and said Claude currently comes out ahead on that measure. The pushback in the packet is that this does not necessarily make the headline’s 5x+ framing a universal statement about subscription value.
Assignment: c876967b-4d87-48af-9b1e-0623db34bf6f / brief f5efd2e1a588282d989389a9b02aea11b250e53601719a2844283f7280d43c6e
Claim support:
- Title: c1, c8
- Description: c1, c2, c4, c6, c8
- TLDR: c2, c4, c6, c8
- Body paragraph 1: c1
- Body paragraph 2: c2
- Body paragraph 3: c4, c5
- Body section “What the analysis is actually measuring”: c2, c8
- Body section “Why readers challenged the headline framing”: c6, c8
- Body section “Even some narrower reactions still had Claude ahead”: c7
Status: drafted
