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openai

OpenAI's annual revenue exceeds $25 billion, while Anthropic reports $19 billion, catching up rapidly

According to TheInformation, as of the end of February 2026, OpenAI's annualized revenue has exceeded $25 billion.OpenAI's Chief Financial Officer Sarah Friar confirmed in the official blog and multiple reports in January 2026 that the company's annualized revenue for 2025 surpassed $20 billion, representing an approximately 230% increase from $6 billion in 2024. However, some subsequent public investor information indicates that OpenAI's actual total revenue for 2025 was about $13.1 billion, exceeding the company's earlier target of $10 billion but falling short of the peak annualized estimate of $20 billion.After rapid growth in 2025, OpenAI experienced a slowdown in growth in the second half of the year. Media outlets like CNBC estimate that its mid-year annualized revenue last year was around $10 to $13 billion, with year-end annualized revenue at about $5.5 billion.In contrast, OpenAI's direct competitor Anthropic had a mid-year annualized revenue of about $4 billion in 2025, which quickly grew to around $9 billion by the end of the year, thanks to the surge in enterprise customers and products like Claude Code. As of early March this year, the latest annualized revenue has exceeded $19 billion. Currently, Claude Code's run rate has surpassed $2.5 billion, with over 500 clients spending more than $1 million annually. The gap between Anthropic and OpenAI is narrowing.

Anthropic has been reported to launch a "migration prompt" tool, directly targeting OpenAI's memory barriers

Anthropic is accused of launching a prompt tool for "exporting ChatGPT memory data," helping users transfer historical memory information to its model Claude, which has drawn industry attention.According to public content, the tool allows users to export their memory data from OpenAI's ChatGPT by copying and pasting specific prompts, and then import it into Claude. Related discussions suggest that this move is seen as directly weakening the user stickiness and switching costs that ChatGPT relies on through its "memory function."Market views consider the memory mechanism as an important moat for large model products— the longer users engage, the deeper the model understands their preferences, context, and historical conversations, thereby increasing the migration costs. If third-party tools can facilitate easy data migration, it may change the current user lock-in logic of AI products.Meanwhile, reports also mentioned that Anthropic was previously restricted from use by relevant systems of the U.S. Department of Defense, but the company's popularity and attention have quickly surged, topping some application rankings.Currently, the specific compliance of the aforementioned tool and the platform's response have not been clarified. The industry generally believes that competition among large models has extended from performance comparisons to ecological and data sovereignty aspects, with user data portability potentially becoming a key variable in the next stage.
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