AI Coding Showdown: OpenAI Beats Google at Building Minesweeper
Four major AI coding assistants tested on game development. OpenAI's Codex leads while Google's Gemini struggles with basic tasks.
Scout Team
When it comes to AI-powered coding assistants in 2025, not all bots are created equal. A recent test by Ars Technica put four leading AI coding agents through their paces by challenging them to create a functional Minesweeper clone. The results reveal significant performance gaps between the major players, with clear winners and losers emerging from this real-world programming challenge.
OpenAI's Codex came out on top, delivering what testers described as the most complete and market-ready version of the classic puzzle game. The system demonstrated strong understanding of game logic, user interface requirements, and the core mechanics that make Minesweeper work. For developers looking to leverage AI assistance for game development projects, Codex appears to offer the most reliable results with minimal manual intervention required.
Anthropic's Claude and Mistral's coding assistant both turned in respectable performances, producing functional games that needed only minor tweaks to reach production quality. These middle-tier performers showed they can handle moderately complex programming tasks, making them solid choices for developers who want AI assistance without paying OpenAI's premium pricing. Both systems understood the assignment and delivered working code that captured the essence of Minesweeper's gameplay.
The surprise disappointment came from Google's Gemini CLI, which essentially failed the challenge entirely. According to the test results, Gemini gave up partway through the task, unable to produce a working game. This poor showing raises questions about Google's AI coding capabilities, especially given the company's resources and reputation in the tech space.
For developers and tech professionals evaluating AI coding assistants in 2025, this comparison offers valuable insights. Those working on game development or complex programming projects should prioritize Codex for best results, while budget-conscious users might find good value in Anthropic or Mistral's offerings. As for Gemini CLI, it appears Google has significant ground to cover before their coding AI can compete with established players.