Google’s Latest Rankings Reveal Top AI Models for Android App Development
In the rapidly evolving landscape of artificial intelligence, Google’s Android Bench has become a pivotal resource for developers seeking the most effective AI models for Android app development. The latest update, released on May 18, 2026, introduces new models and provides comprehensive metrics, offering a clearer picture of each model’s performance, efficiency, and cost-effectiveness.
Introduction to Android Bench
Google’s Android Bench is a benchmarking tool designed to evaluate AI models based on their proficiency in handling common Android development tasks. These tasks include working with Jetpack Compose for user interfaces, Coroutines and Flows for asynchronous programming, Room for data persistence, and Hilt for dependency injection. By assessing these capabilities, Google aims to guide developers toward AI models that can enhance productivity and adhere to best practices in Android app development.
Emergence of GPT 5.5 as the Leading Model
The May 2026 update marks the debut of OpenAI’s GPT 5.5, which has secured the top position with a score of 74%. This model surpasses its predecessor, GPT 5.4, and Google’s own Gemini 3.1 Pro Preview, both of which previously held the leading spot with scores of 72.4%. The introduction of GPT 5.5 signifies a notable advancement in AI capabilities for coding Android applications.
Comprehensive Performance Metrics
In this update, Google has enhanced the Android Bench by including detailed performance metrics for each AI model:
– Average Latency: The time taken to solve 100 tasks across 10 runs.
– Average Total Tokens: The token consumption for a full benchmark run across 10 runs.
– Average Cost: The cost per benchmark run at the time of testing, measured in US dollars.
These metrics provide developers with a holistic view of each model’s efficiency and cost-effectiveness, enabling informed decisions based on project requirements and budget constraints.
Top Ten AI Models for Android App Development
The updated rankings, as of May 21, 2026, are as follows:
1. GPT 5.5
– Score: 74%
– Average Latency: 15.5 seconds
– Average Total Tokens: 64.5
– Average Cost: $133.9
2. GPT 5.4
– Score: 72.4%
– Average Latency: 21.2 seconds
– Average Total Tokens: 64.2
– Average Cost: $91.7
3. Gemini 3.1 Pro Preview
– Score: 72.4%
– Average Latency: 11.5 seconds
– Average Total Tokens: 75.4
– Average Cost: $49.0
4. Claude Opus 4.7
– Score: 68.7%
– Average Latency: 11.6 seconds
– Average Total Tokens: 90.0
– Average Cost: $124.3
5. GPT 5.3 Codex
– Score: 67.7%
– Average Latency: 11.2 seconds
– Average Total Tokens: 71.4
– Average Cost: $42.6
6. Claude Opus 4.6
– Score: 66.6%
– Average Latency: 9.9 seconds
– Average Total Tokens: 69.5
– Average Cost: $84.4
7. GPT 5.2 Codex
– Score: 62.5%
– Average Latency: 24.3 seconds
– Average Total Tokens: 124.4
– Average Cost: $121.9
8. Claude Opus 4.5
– Score: 61.9%
– Average Latency: 12.5 seconds
– Average Total Tokens: 79.8
– Average Cost: $102.5
9. Gemini 3 Pro Preview
– Score: 60.4%
– Average Latency: 9.8 seconds
– Average Total Tokens: 117.0
– Average Cost: $63.7
10. GLM 5.1
– Score: 59.7%
– Average Latency: 33.4 seconds
– Average Total Tokens: 80.2
– Average Cost: $46.7
Insights from the Rankings
While GPT 5.5 leads in performance, it is also the most expensive, with an average cost of $133.9 per benchmark run. In contrast, Gemini 3.1 Pro Preview offers a competitive score of 72.4% at a significantly
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