TL;DR
- Image App Growth: Appfigures said image-focused AI launches produced larger app download spikes than routine chatbot upgrades in 2025.
- Revenue Gap: The same comparison said download gains did not always translate into revenue, with Nano Banana far below ChatGPT’s spending result.
- Why It Matters: The figures suggest visible AI features can attract users quickly, but scale and payment habits still shape whether that attention turns into money.
In a historical review of 2025 app launches, Appfigures say image AI launches outperformed routine chatbot upgrades on app growth, with visual releases producing far larger 28-day download spikes than text-model updates.
The comparison points to a consumer-product pattern: image tools give users an immediately visible feature to test, while text-model upgrades can be harder to feel in a single app session.
Why Visual AI Is Winning New Installs
Appfigures said visual AI releases generated 6.5 times more downloads than routine chatbot upgrades.
Google’s Nano Banana supplied the largest image-led example, adding more than 22 million downloads over 28 days.
During the Nano Banana launch, Appfigures said the release lifted Gemini’s downloads by more than four times. Google benefited from a feature users could see and test immediately. Text-model upgrades often improve capability without giving casual users the same instant visual payoff.
In March 2025, OpenAI’s GPT-4o image generation pulled users in. ChatGPT gained more than 12 million installs in its first 28 days.
Appfigures said GPT-4o image generation still drove roughly 4.5 times more downloads than ChatGPT’s GPT-4.5 and GPT-5 updates. The side-by-side result keeps the comparison inside one app as well as across rival products.
In Appfigures’ comparison, GPT-4o image generation stayed ahead of GPT-4.5 and GPT-5 inside the same app. Appfigures tied the ChatGPT image-generation surge to a separate outcome as well. Its estimate of $70 million in spending was the strongest monetization result in the comparison, even though the same dataset said download spikes did not consistently convert to revenue.
Meta’s Vibes AI video feed showed a similar install effect at a smaller scale. The Vibes feed added 2.6 million downloads in the 28 days after its September 2025 release. That was enough to show consumer interest, but not enough to prove a durable revenue base on its own.
Monetization told a different story. Appfigures estimated Nano Banana generated only $181,000 in 28-day consumer spending, while Meta’s Vibes launch produced additional downloads without meaningful revenue. Those gaps suggest image features can create attention faster than they create durable spending, especially when the product around them is still building habit and payment behavior.
DeepSeek R1 worked as a useful control case, adding 28 million downloads after its January 2025 debut and marking the largest non-visual burst in the dataset.
Why ChatGPT Monetized the Surge Better
Meta entered the cycle from a smaller product base than ChatGPT, which limited the immediate monetization upside.
Meta still gained a consumer entry point, but not one with ChatGPT’s later reach, built-in payment habit, or broader installed base. Meta’s own app design also centered browsing and voice use before any clear mobile spending loop emerged. ChatGPT’s scale helps explain why similar visual novelty could translate into very different revenue outcomes.
ChatGPT generated $8 billion in revenue for OpenAI in 2025. That background helps explain why a visual feature could produce a much bigger spending result inside ChatGPT than inside rivals that also posted sharp download spikes.
What the Numbers Do and Do Not Prove
Appfigures’ comparison is useful because it separates acquisition from monetization. Image releases look stronger for pulling users in, but the comparison does not make every visual feature a business win, and the surfaced material did not include an independently published Appfigures methodology post to test the estimates line by line. Product teams now have to judge install spikes and payment outcomes separately before funding another visual feature.
A launch that boosts rankings for a month can still leave subscription demand unresolved once the novelty fades.
Appfigures’ next 28-day consumer spending estimate for Google’s next visual release will measure the gap between an install spike and a paid-use engine.
