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Anthropic and OpenAI logos side-by-side, symbolizing their competitive Q3 enterprise sales growth and market valuation.

Editorial illustration for Anthropic Hits USD 17B in Q3 as Enterprise Sales Push OpenAI to USD 10B

Anthropic Hits $17B as OpenAI Reaches $10B Revenue

• 4 min read

OpenAI's revenue hit $10 billion in the third quarter, up roughly 50 percent from the previous quarter, according to reports from the Wall Street Journal and The Information. That's a jump from the 17 to 18 percent growth rate OpenAI posted in Q2, and more than double the $3.9 billion the company brought in during the same quarter last year. The growth came largely from enterprise customers and new model releases, with ChatGPT's consumer side now counting 100 million paying subscribers.

The losses grew too. OpenAI's adjusted operating loss climbed to $10.9 billion in Q3, up from $10.1 billion the quarter before, not counting the $2.6 billion in stock-based compensation. The operating margin did tick up, from negative 150 percent in Q2 to negative 109 percent in Q3, still far worse than the negative 97 percent recorded a year ago.

That widening gap between revenue and losses looks even starker next to Anthropic, which has already passed OpenAI in quarterly revenue and is heading into an IPO next week. The comparison between the two companies' balance sheets tells a different story about what it actually costs to grow at this pace.

OpenAI posts a massive Q3 revenue jump, driven by new AI models and enterprise customers. But operating losses keep growing, while rival Anthropic operates far more efficiently ahead of its IPO.

Why this matters

The numbers here tell a story about margins, not just growth. OpenAI's revenue jumped to $10 billion and that sounds impressive until you see the $10.9 billion adjusted operating loss sitting right next to it. Anthropic, by contrast, grew 47 percent to $17 billion and lost just $567 million.

That gap matters for anyone building on top of these platforms. If OpenAI is cutting prices to chase enterprise deals it's losing money on, we should expect API pricing to stay volatile, and we should question how sustainable ChatGPT's 100 million consumer base is as a revenue engine versus a subsidized one. Anthropic's near break-even posture in Q2 and continued discipline in Q3 suggests Claude's enterprise focus is actually paying for itself, which changes the calculus for founders picking a model provider based on long-term reliability, not just capability.

For researchers, this is a reminder that scale and burn rate are two different stories, and the company winning on revenue isn't necessarily winning on economics.

Common Questions Answered

What was OpenAI's revenue growth rate in Q3 compared to previous quarters?

OpenAI's revenue hit $10 billion in Q3, representing roughly 50 percent growth from the previous quarter, which is a significant acceleration from the 17 to 18 percent growth rate posted in Q2. This growth more than doubled the $3.9 billion the company brought in during Q3 of the previous year, driven largely by enterprise customers and new model releases.

How does Anthropic's operating efficiency compare to OpenAI's financial performance?

Anthropic operates far more efficiently than OpenAI despite lower total revenue, with the company growing 47 percent to $17 billion while posting only $567 million in adjusted operating losses. In contrast, OpenAI's $10 billion in Q3 revenue is accompanied by a $10.9 billion adjusted operating loss, highlighting a significant gap in profitability between the two companies.

What factors drove OpenAI's Q3 revenue increase to $10 billion?

OpenAI's Q3 revenue growth was driven largely by enterprise customers and new model releases, with the company also benefiting from ChatGPT's consumer side reaching 100 million paying subscribers. The combination of enterprise adoption and consumer growth contributed to the roughly 50 percent quarter-over-quarter revenue increase.

Why does OpenAI's operating loss matter for developers building on its platforms?

OpenAI's substantial $10.9 billion adjusted operating loss relative to its $10 billion revenue suggests the company may be cutting prices to chase enterprise deals it's losing money on, which could lead to volatile API pricing in the future. This pricing volatility is a critical consideration for developers and businesses relying on OpenAI's platforms for their applications.

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