SemiAnalysis Says Claude Plans Give 5x the API Value of OpenAI's. Read the Fine Print.

Quick verdict

SemiAnalysis ran a limit test across the major AI subscriptions and reported that Claude plans deliver more than five times the API-equivalent value of OpenAI's. That is a real finding, but it comes with a number almost nobody quotes: once you adjust for the cost of actually finishing a task, the gap narrows to between 1.3 and 2.9 times. Both can be true at once. Claude's per-unit value looks huge because its plans hand you a lot of expensive-model usage before you hit a wall, but Claude models also tend to spend more to complete the same job. The headline is good news if you are a heavy Claude user. It is not a reason to switch sight-unseen, and it says more about how subscriptions are priced than about which model is "better."

What SemiAnalysis actually measured

SemiAnalysis tested plans from Anthropic, OpenAI, Meta, SpaceXAI, MiniMax, Moonshot, Cursor, Cognition, and others, and found Claude subscriptions delivering 5x+ more API-equivalent value than OpenAI plans. The method matters here. As the firm explained, "value" is the credit cost of each model and token type you can consume on a plan, priced against what the same usage would cost through the API, not a comparison of published list prices. So the figure is really a statement about how much metered usage each subscription lets you draw down before cutting you off.

The task-cost adjustment is the part that keeps the number honest. scaling01 pointed out that once you account for how much compute each model burns to finish a given task, Claude's advantage shrinks to 1.3-2.9x. The expensive models you get more of on a Claude plan also spend more tokens per job, so some of that headline value gets eaten on the way to an answer. The lesson is not that the 5x is fake. It is that raw per-token value and real cost-to-finish are two different measurements, and the gap between them is where most "which plan is cheaper" arguments go wrong.

Why the gap exists: the subsidy math

None of this makes sense without the economics underneath. A widely shared estimate claims Anthropic spends about 42% of its inference compute on subscriptions that bring in roughly 10% of revenue (chart). Treat that as an unverified back-of-envelope figure, but the direction is consistent with everything else: providers subsidize subscription usage heavily and rely on most users leaving the allowance on the table. That is why a Claude plan can look like a 5x bargain in API-equivalent terms. You are being handed subsidized access to expensive models, and the plan stays profitable only because the average subscriber never comes close to maxing it out.

OpenAI is living the other side of that math right now. Users reported that new $200 Pro sign-ups were paused and that usage limits were effectively halved across plans, with GPT-6.1 Sol positioned as the efficient alternative (analysis). The Information separately reported that Microsoft cut its projected internal Anthropic spend by more than a third and that Meta's Claude Code users fell from roughly 60,000 to 30,000, largely because of a push toward Meta's own tools (summary). Capacity, not just quality, is shaping what each plan can afford to give you.

What's changing on the OpenAI side

OpenAI is not standing still on the value question. Codex lead Tibo pledged a meaningful improvement or a full reset every day for 28 days, the most-engaged tweet of the period. The company also shipped a day-one speedup: default throughput for GPT-6 Astra and GPT-6.1 Sol rose about 50%, from roughly 30 to 50 tokens per second, across all subscription surfaces and Sign in with ChatGPT partners like OpenCode, Pi, Amp, and Devin (announcement). Faster output does not change the API-equivalent value math directly, but it changes how much you get done inside the same limit, which is the thing most people actually feel.

On raw capability the picture is split rather than one-sided. On Agent Arena, Anthropic holds the #1 spot in Code, Work, and Chat, with Fable 5.1 leading Code and Work while GPT-6 Astra sits at #2 in Code (Arena). Theo described a reversal in coding-model preference between July and September, a reminder that these rankings move fast enough that a plan you pick today on "value" could feel different in a quarter.

Video: Claude vs OpenAI subscription value

A breakdown of how the subscription-value comparison works, why task cost changes the answer, and what it means for which plan to actually buy.

What to do with this if you pay for AI

If you already live in Claude and push it hard, the SemiAnalysis read is a nudge to stop feeling bad about the bill, because you are likely extracting more metered value than the equivalent OpenAI plan would give. If you are a lighter user, the 5x basically does not reach you, since you were never going to draw down enough usage for it to matter, and the task-adjusted 1.3-2.9x is the honest number anyway. The deeper point is that any single plan is a bet on one provider's capacity and pricing mood, both of which are visibly shifting this quarter. The hedge is to not marry a plan: route each task to whatever model gives the best value for that job, which is the entire argument for running everything through one aggregator instead of stacking subscriptions.

FAQ

Does 5x mean a Claude plan saves me 5x the money?

No. It means a Claude plan lets you consume about five times more API-equivalent usage before hitting limits, measured against API prices. Adjusted for how much each model spends to finish a task, the real edge is closer to 1.3-2.9x, and for a light user it may be invisible. See what you actually pay for AI subscriptions for the fuller picture.

Why would a provider give away 5x the value?

Because subscription usage is heavily subsidized and most users never max out their allowance. One estimate pegs Anthropic's subscription inference at 42% of compute for about 10% of revenue. The generous-looking value only works because the average subscriber leaves most of it unused.

Should I switch from OpenAI to Claude over this?

Only if you are a heavy user whose workload matches where Claude is strong, like coding and agent work. Capability rankings shift quarter to quarter, and OpenAI is pushing speed and reliability hard. A better default than switching is routing per task. Our OpenAI vs Anthropic vs Google breakdown covers where each one leads.

Sources

• SemiAnalysis - Claude plans deliver 5x+ more API-equivalent value
• SemiAnalysis - methodology thread on credit cost vs list prices
• scaling01 - task-cost adjustment narrows the edge to 1.3-2.9x
• stalkermustang - 42% of inference compute for ~10% of revenue (unverified)
• OpenAI capacity squeeze - paused $200 sign-ups, halved limits
• The Information (summary) - Microsoft and Meta cut Anthropic/Claude Code use
• Tibo Sottiaux - GPT-6 Astra and 6.1 Sol ~50% faster across subscriptions
• Tibo Sottiaux - 28-day Codex improvement-or-reset pledge
• Agent Arena - Anthropic #1 in Code, Work and Chat

Further reading

• What you actually pay for AI subscriptions
• How to save money on AI subscriptions
• OpenAI vs Anthropic vs Google: how the frontier stacks up
• The best app for using multiple AI models at once