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AI Engineering
Hacker News·25d ago·5 min read
GPT-5.6, Grok 4.5, Claude, and Muse Spark build the same 4 apps
TL;DR
Four AI models—GPT-5.6, Grok 4.5, Claude, and Muse Spark—were tested to build a Doom-style raycaster maze and a 3D Rubik's Cube. Each model underwent five attempts, measuring cost and latency.
✦ Why It Matters
Engineers can directly compare the performance of different AI coding models to select the best fit for their projects.
Key Takeaways
- Test multiple AI models to find the best coding solution.
- Analyze cost and latency metrics for informed decisions.
- Utilize public builds for hands-on experimentation.
- Incorporate community feedback to refine AI tool evaluations.
Full Summary
In a competitive evaluation, twelve AI models, including GPT-5.6 in its Sol, Terra, and Luna tiers, Grok 4.5, and Meta's Muse Spark 1.1, were tasked with building four applications: a Doom-style raycaster maze, a 3D Rubik's Cube, a calculator, and Conway's Game of Life. Each model was tested five times to assess performance metrics such as cost and latency.
The builds were made publicly available for further exploration. Feedback from a previous build-off informed this round, leading to a more comprehensive analysis.
Results showed varying performance across models, with specific metrics highlighting strengths and weaknesses. This evaluation is crucial for developers looking to choose the right AI tools for coding tasks.