Comparison of AI Models in Building Four Applications

Jul 10, 2026

AI Summary

A recent evaluation compared twelve AI models, including GPT-5.6 and Grok 4.5, in creating four applications: a raycaster, a Rubik's Cube solver, a calculator, and Game of Life. The results highlighted varying performance levels, with GPT-5.6 generally outperforming others, while Claude's models excelled in specific tasks.

The evaluation involved twelve AI models, including GPT-5.6 (in Sol, Terra, and Luna tiers), Grok 4.5, Claude (Opus 4.8 and Fable 5), and Meta's Muse Spark 1.1, among others.
The models were tested on four applications: a first-person raycaster, a Rubik's Cube solver, a calculator, and Game of Life, with each model undergoing five attempts per task.
In the raycaster task, GPT-5.6 outperformed all models, while Grok 4.5 was a viable alternative, and Muse Spark showed surprising performance in some runs.
For the Rubik's Cube solver, Claude Fable achieved a perfect score, while GPT-5.6 underperformed compared to expectations.
The calculator task saw Claude's models excel, particularly Fable, while GPT-5.6 struggled with style and functionality.
In the Game of Life task, Grok 4.5 performed well, and open-source models like Qwen 3.7 Plus and GLM-5.2 showed strong results due to the simplicity of the task.
Overall, GPT-5.6 tiers were the fastest for short prompts, while open-source models like Qwen were noted for their affordability and speed, despite some limitations in more complex tasks.
Claude Fable stood out in SVG rendering tasks, producing high-quality results, while GPT-5.6 models were less impressive in this area.

gpt-5.6grokclaudemuse sparkapp development

Comparison of AI Models in Building Four Applications

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