Gemini 4 Argon Ranks 5th in Google Android Bench Coding Test

Google’s Gemini 4 Argon Ranks Fifth in Android Coding Benchmark Tests

Google’s newest AI model, Gemini 4 Argon, lands in fifth place in the latest Android Bench evaluation, trailing well behind rival frontier models from Anthropic and OpenAI. 9to5google.com reported that Google updated its Android Bench list to measure how effectively different AI systems handle Android coding assistance and development best practices.

The Tech TL;DR:

• Claude Sonnet 5.5 leads the current Android Bench release with a 40% pass rate and an 80.9% completion rate.
• OpenAI’s GPT-6.1 Sol achieves a 29.3% pass rate and an 82.8% completion rate at a significantly lower cost of $99.50.
• Google’s Gemini 4 Argon debuts in fifth place with a 21.3% pass rate and an 81.8% completion rate, trailing behind Claude Fable 5.1.

The Android Bench was introduced earlier this year to give developers a rapid method for assessing which AI models suit Android-specific coding tasks. The evaluation framework factors in development best practices and tracks the average cost per model to help engineering teams optimize their tool stack. Newsbytesapp.com noted that the benchmark serves as a fresh tool for developers comparing real coding tasks and operational expenses.

Performance Comparisons and Model Pricing Across Benchmarks

The October 26 update introduced several new entries to the leaderboard, including OpenAI’s GPT-6 Sol, GPT-6.1 Sol, Claude Sonnet 5, Claude Sonnet 5.5, Claude Opus 5.5, and Google’s own Gemini 4 Argon. The data highlights a distinct trade-off between execution accuracy and infrastructure expenditure for enterprise deployments utilizing continuous integration pipelines.

curl -X POST "https://api.example.com/v1/code/assist" 
  -H "Authorization: Bearer $API_TOKEN" 
  -H "Content-Type: application/json" 
  -d '{
    "model": "gemini-4-argon",
    "task": "android_compose_layout",
    "reasoning_level": "high"
  }'

Claude Sonnet 5.5 holds the top position with a pass rate of 40% and a completion rate of 80.9%, though its total evaluation cost reaches $1,574.90. Claude Opus 5.5, added to the directory in early October, secures the second spot. Meanwhile, OpenAI’s GPT-6.1 Sol registers a 29.3% pass rate and an 82.8% completion rate at a reduced cost of $99.50.

Internal Friction and Model Capabilities Following the Release

Google’s Gemini 4 Argon debuts behind competing frontier options with a 21.3% pass rate and an 81.8% completion rate, while incurring an average cost of $267.70. The model sits behind Claude Fable 5.1 in the rankings. Following the public release of Gemini 4 Argon, internal sources claimed that the model struggles to handle certain coding tasks, although Google stood by its overall technical capabilities.

The October 26 update also incorporated the reasoning level used for each evaluated model, giving engineering managers deeper visibility into execution parameters.