Gemini 3.5 Flash: Android Coding Benchmarks & Performance

Google's new Gemini 3.5 Flash AI model ranks sixth in benchmark tests for Android coding. This places it below models like GPT 5.5 and Gemini 3.1 Pro Preview. What's interesting is that Gemini 3.5 Flash was promoted as a cheaper and faster option than Gemini 3.1 Pro. However, new results show it has higher latency and a 9% performance success gap in Android development. It also uses significantly more tokens per evaluation run compared to Gemini 3.1 Pro. Companies are increasingly using these models for "vibe coding," where AI handles much of the software development. Google regularly updates its "Android Bench" to track the best-performing models. This matters because developers rely on these benchmarks to choose the most effective and cost-efficient AI tools for creating Android applications.