Image AI models drive 6.5x more app downloads than text model updates, Appfigures data shows

Image model releases are generating 6.5 times more mobile app downloads than traditional text model updates, according to app intelligence provider Appfigures. The data marks a shift from earlier patterns where conversational model updates and features like voice chat drove user acquisition.

Download impact by the numbers

Google's Gemini added 22+ million downloads in the 28 days following the release of its Gemini 2.5 Flash image model in August 2025. According to Appfigures, this lifted the app's downloads by more than 4x over that period.

ChatGPT added more than 12 million incremental installs in the 28 days after introducing its GPT-4o image model in March 2025 — roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 text model releases combined.

Meta AI's video feed feature "Vibes" added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release.

Revenue conversion remains concentrated

Downloads don't translate directly to revenue, Appfigures noted. Google's image model generated only $181,000 in estimated gross consumer spending during the 28-day window following release, despite producing a larger download spike than ChatGPT's image model.

Meta AI's Vibes drove downloads but no meaningful revenue increase.

Only OpenAI successfully converted increased attention into revenue. The GPT-4o image generation model led to an estimated $70 million in gross consumer spending over 28 days following launch, compared to its prior baseline.

DeepSeek's outlier case

DeepSeek R1 drove 28 million downloads after its January 2025 release, but Appfigures classified this as an outlier. The downloads stemmed from DeepSeek's sudden prominence after the tech industry learned about its cost-efficient training techniques, not from image model capabilities.

What this means

The data indicates user interest in AI apps has shifted from text generation improvements to visual content creation. However, the monetization gap between download spikes and revenue growth suggests most users are experimenting with image generation rather than committing to paid subscriptions. OpenAI's ability to convert 12 million new users into $70 million in revenue — while competitors with larger download spikes failed to monetize — points to either superior conversion infrastructure or a more committed user base. For AI companies, the implication is clear: image models drive attention, but monetization requires more than just technical capability.