Anthropic's $30B ARR Surpasses OpenAI for the First Time, But Don't Rush to Call It

On April 7th, Anthropic announced a number足以改写AI行业排位:

The company’s annualized revenue crossed $30 billion.

At the same time, OpenAI’s annualized revenue was approximately $25 billion.

This is the first time in Anthropic’s five-year history that it has surpassed OpenAI in revenue terms.

The moment the news dropped, my social feeds were filled with it, and comments were full of “the landscape is set” and “the AI era has its endgame” kind of clickbait.

But what I want to say is: Don’t rush to conclusions.

The Structural Difference Behind the Numbers

$30B vs $25B—it sounds like Anthropic won.

But if you’ve seen these two companies’ revenue composition, you might draw different conclusions.

OpenAI’s revenue structure:

  • ChatGPT Plus subscription: ~$2B
  • ChatGPT Enterprise: ~$5B
  • API calls: ~$15B (estimated)
  • Other: Azure partnership revenue, etc.

Anthropic’s revenue structure:

  • Claude Enterprise: ~$18B (estimated)
  • API calls: ~$10B
  • Other: AWS partnership revenue, etc.

See it now?

OpenAI’s revenue is more dispersed—subscriptions, enterprise, API, cloud partnerships. Anthropic’s revenue is more concentrated—Claude Enterprise accounts for the lion’s share.

What does this mean?

Anthropic’s commercialization is more “heavy,” OpenAI’s is more “light.”

Why Could Anthropic Overtake?

There’s only one core reason: Anthropic’s Enterprise product is more solid.

Claude Code has an excellent reputation in the developer community, SWE-bench at 80.8%—this number isn’t吹出来的, it’s真的能打.

Plus after Claude 4.7’s release, programming capability improved further, and many enterprise clients started choosing Claude as their primary AI coding tool.

Simply put: Anthropic wins on single-point breakthrough.

OpenAI is “blooming across the board,” Anthropic is “breaking through key points.”

My Take

$30B ARR is a milestone, but I don’t think this means “the landscape is set.”

Reasons:

  1. OpenAI’s API revenue is severely underestimated—countless enterprise secondary development applications are uncounted
  2. Anthropic’s $30B highly depends on Enterprise clients—if a major client leaves, the numbers will look ugly
  3. Google and Meta haven’t truly ramped up—these two companies’ AI product monetization capability hasn’t really been unleashed yet

What do you think?