The AI Model Showdown: Unlocking the Secrets of Tetris Building
The world of AI is abuzz with new models, but do they live up to the hype? Every week, a new AI model emerges, claiming to be the best, leaving developers and enthusiasts wondering which one to trust. I decided to put this to the test by challenging three cutting-edge models to build a Tetris game.
As an AI enthusiast with access to the latest models, I wanted to separate fact from fiction. I chose to test GPT-5.2 Pro, Claude Opus 4.5, and DeepSeek V3.2, each with its own unique capabilities and pricing.
The Experiment: Building Tetris with a Single Prompt
I crafted a detailed prompt, asking each model to create a fully functional Tetris game in a single HTML file. The criteria were strict: smooth gameplay, responsive controls, and a visually appealing design. But here's where it gets controversial—I wanted to see if these models could deliver on their promises with just one attempt.
The Results Unveiled:
1. Claude Opus 4.5: The Quick and Efficient Performer
Opus 4.5 blew me away! Within 2 minutes, it crafted a flawless Tetris game. The UI was clean, the controls were responsive, and the gameplay was incredibly smooth. I found myself immersed in the game, forgetting it was built by AI.
2. GPT-5.2 Pro: The Disappointing Bug-Fest
With high expectations, I turned to GPT-5.2 Pro. But to my surprise, it stumbled on the first try. The game had a layout bug, making it unplayable. After a lengthy 6-minute wait, the model produced flawed code. A second attempt with a follow-up prompt fixed the bug, but the gameplay still lacked the smoothness of Opus 4.5.
And this is the part most people miss: GPT-5.2 Pro's strengths lie in math and research, not pattern recognition. Perhaps it's overkill for simple coding tasks.
3. DeepSeek V3.2: The Budget-Friendly Option
DeepSeek V3.2, the most affordable model, faced initial challenges. Pieces disappeared, and controls were glitchy. After re-prompting, the controls worked, but the game remained unplayable. With its low cost, you could afford multiple debugging rounds, but it might not be the best choice for quick results.
Cost Breakdown and Takeaways:
The cost comparison reveals interesting insights. DeepSeek V3.2 is the cheapest, followed by GPT-5.2, Opus 4.5, and GPT-5.2 Pro. For this task, Opus 4.5 offered the best value, delivering a playable game with a great user experience.
The practical takeaway? Opus 4.5 excels at day-to-day coding, while DeepSeek V3.2 is a budget option requiring more debugging. GPT-5.2 Pro, despite its power, might be better suited for complex tasks.
The AI Model Debate: Your Thoughts?
Which model would you choose for your projects? Do you agree with my findings? Perhaps you have a different interpretation of the results. Share your thoughts in the comments, and let's spark a discussion on the capabilities and limitations of these AI models.
