OpenAI's Codex code-generation tool has surpassed 15 million active users, prompting the company to reset usage limits for its users.
The milestone represents rapid growth since the tool hit 10 million users in late July, following the release of GPU-5.6 earlier that month.
What happened
OpenAI executive Thibault Sotiaux announced on August 12 that Codex's active users exceeded 15 million, triggering a reset of usage limits as previously promised. He called on users to try Fast mode, which consumes usage quota more heavily.
Why it matters
Codex had reached 10 million active users by July 21 (after GPU-5.6 launched on July 9), and the rapid growth to 15 million shows sustained momentum in AI-assisted code generation. Usage-limit resets serve to keep the service attractive to power users and signal confidence in the product's scale.
What to watch
Sotiaux had committed to resetting usage limits for every 1 million users gained until 10 million was reached; the 15 million milestone came as a surprise he had hinted at in an earlier post.
On August 12, OpenAI executive Thibault Sotiaux announced via X (formerly Twitter) that Codex—the company's AI code-generation tool—had surpassed 15 million active users. In response, he stated that usage limits would be reset, as promised to users reaching that milestone. Sotiaux noted the news was "a few days old" but emphasized the achievement and encouraged users to enjoy the reset. He also explicitly promoted Fast mode, urging users to "try Fast mode if you'd like," acknowledging that this usage tier consumes quota more rapidly. Sotiaux had previously committed to resetting usage limits for every 1 million new users up to the 10 million mark. In a post the day before the announcement, he had indicated that user growth had "greatly exceeded" expectations and teased an upcoming surprise. The acceleration in Codex adoption became apparent after GPU-5.6 launched on July 9; by July 21, the tool had reached 10 million active users, and the subsequent three weeks saw growth to 15 million, demonstrating sustained interest in the code-generation service.
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