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Google Gemini's image model drove 22 million downloads in 28 days but generated just $181,000, while ChatGPT's image launch made $70 million over the same period, revealing a massive monetization gap in AI apps.
What: Appfigures analysis shows image AI models drive 6.5x more app downloads than text model updates. After launching image models: Google Gemini added 22+ million downloads (August 2025), ChatGPT added 12 million (March 2025), Meta AI added 2.6 million (September 2025). Revenue diverged sharply: ChatGPT earned $70 million in gross consumer spending over 28 days post-launch, Gemini $181,000, Meta AI near-zero.
Why it matters: This exposes the difference between feature parity and ecosystem lock-in—all three platforms can generate images, but only ChatGPT users will pay for it, suggesting OpenAI's first-mover advantage created a subscription habit that feature releases alone can't replicate.
Original article
Image AI models now drive 6.5x more app downloads than traditional chatbot updates, marking a significant shift in user preferences. Google's Gemini gained 22+ million downloads after releasing its image model, while ChatGPT added 12 million downloads following its GPT-4o image model launch. However, increased downloads don't always translate to revenue, as only ChatGPT generated substantial income ($70 million) compared to competitors during the same period.
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