Anthropic’s annual revenue exceeded $30 billion, surpassing OpenAI’s $25 billion for the first time

One sentence conclusion

Anthropic’s annual revenue exceeded US$30 billion, surpassing OpenAI’s US$25 billion for the first time, marking a new stage in large model competition. Claude Code’s computing power layout is the biggest contributor, achieving a 30-fold increase in 15 months. This means that the landscape of the AI ​​tool ecosystem is being reshaped, and developers need to re-evaluate their technology stack choices.

What happened

On April 7, 2026, Anthropic announced that its annual revenue exceeded US$30 billion, while OpenAI’s annual revenue during the same period was approximately US$25 billion. This is the first time Anthropic has surpassed OpenAI in revenue scale and become the new leader in the field of large models.

Key data points show Anthropic achieved 30x growth from $1 billion to $30 billion in just 15 months. In the two months from March to April 2026 alone, annualized revenue of US$11 billion will be added. The number of corporate customers exceeds 1,000, and the proportion of customers with a single annual purchase of more than one million US dollars has increased significantly.

Claude Code’s computing power layout is considered to be the biggest driving force for this growth. Anthropic began to invest heavily in Claude Code's computing infrastructure in early 2025, a decision that showed significant results a year later.

Direct impact on practitioners

Cost level

For developers using the Claude API, this means more stable services and possible cost optimization due to economies of scale. After Anthropic reaches this revenue scale, it will have more resources to invest in infrastructure optimization, which may lead to room for API price reduction in the long run.

Efficiency/capability level

The increased maturity of Claude Code means that automated workflows built on Claude will be more reliable. For teams that are choosing AI programming tools, Anthropic's financial health has become a new consideration.

Compliance/Risk Level

Increased competition from large model vendors may lead to stricter service terms and compliance requirements. But at the same time, in order to compete for market share, manufacturers may also provide more flexible enterprise-level solutions.

Core data comparison

Our judgment

**This thing is underrated. **

The market generally focuses on OpenAI’s leading position, but ignores Anthropic’s dedicated investment in the Claude Code track. Three specific reasons:

1. Technology stack focus: Anthropic focuses its resources on the vertical field of Claude Code, while OpenAI is scattered across multiple product lines such as ChatGPT, DALL-E, and Codex. Focus brings faster iteration and better product-market fit.

2. Enterprise Market Strategy: Anthropic has been targeting the enterprise market from the beginning, with higher single customer value. Although OpenAI has a larger user base, it has a high proportion of consumer users and a low average income.

3. Timing of computing power deployment: Anthropic’s investment in computing power in early 2025 coincided with the outbreak of AI programming demand, perfectly seizing the market window.

Those who benefit the most are small and medium-sized teams that are building AI automation tools, and they need stable and reliable large-model API services. The least affected are large enterprises that have been deeply integrated into the OpenAI ecosystem, and the switching costs are relatively high.

3 things you can do now

1. Re-evaluate the technology stack: If your project relies heavily on the OpenAI API, now is a good time to test Claude Code alternatives for 1-2 weeks. Focus on code generation quality and API stability.

2. Focus on the Claude Code ecosystem: Anthropic’s revenue growth means that more resources will be invested in the construction of the Claude Code ecosystem. Pay attention to official document updates and partner programs to seize early ecological opportunities.

3. Optimize Cost Structure: Contact the Anthropic sales team to learn about enterprise-level pricing options. A revenue scale of US$30 billion means they have greater bargaining space and more flexible business terms.

Related tools (jump within the site)

This article involves tools: Claude Code, OpenAI API