Google's Gemini 3.5 Flash ranks poorly in Android coding benchmarks at 3x the cost of competitors
By
Andrew Romero
Summary
Google released benchmark results ranking AI models for Android coding, with its own Gemini 3.5 Flash performing poorly — failing to crack the top five while being three times more expensive per token than competitors. The article highlights the industry shift from general chatbots to agentic coding models as "vibe coding" grows in popularity, where developers offload software development to LLMs.
Source
bskyGoogle's Gemini 3.5 Flash ranks poorly in Android coding benchmarks at 3x the cost of competitors9to5google.comKey quotes
· 3 pulledGoogle's Gemini 3.5 Flash is easily the most resource-intensive in Android development, and it doesn't even make the top five.
As the hype for general chatbots is dying down, companies like Google, OpenAI, and Anthropic are shifting towards agentic models with a strength in coding.
Users have begun relying on these models for 'vibe coding,' which essentially offloads the bulk of software development to LLMs.
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