Google released a new set of benchmark results designed to rank the most effective AI models for Android coding tasks. These benchmarks specifically measured the performance and the cost per token for various models in development environments. Gemini 3.5 Flash failed to reach the top five rankings in the study despite its recent release.
Key details
- Gemini 3.5 Flash is categorized as the most resource-intensive model for Android development.
- The model costs three times more per token than other models tested in Google’s benchmarks.
- Benchmark data indicates that the model delivers slower performance than the top-performing alternatives.
- The model failed to secure a position in the top five rankings for this specific coding category.
Why it matters
These benchmark results indicate that higher resource consumption and increased costs do not necessarily lead to better outcomes for specialized software engineering. Developers looking for efficiency in Android coding may find that Gemini 3.5 Flash provides less value than the five higher-ranked models currently leading the field. Watch for whether Google adjusts the pricing or resource requirements to make the model more competitive against the current leaders in its own internal rankings.
Read the full story at 9to5Google
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