GPT-5.5 vs Opus 4.7 Tested - See which model wins in actual product tests

Hi Product Hunt 👋 I’ve been testing GPT-5.5 and Opus 4.7 on real coding tasks, and the results were more interesting than I expected. Most AI model comparisons focus on benchmarks, pricing tables, or marketing claims. But for builders, creators, and indie hackers, the real question is simpler: Which model actually gives you the better final output when building real products? So I tested both models using the same prompts across 4 practical tasks: - Personal brand landing page Testing layout, typography, spacing, and editorial design. - Interactive solar system Testing visual presentation, clickable interactions, and UI controls. - Browser-based space shooter game Testing gameplay feel, responsiveness, visual identity, and real-time interaction. - Ecosystem simulation Testing more complex systems: movement, energy, food, reproduction, mutation, and stats. Here’s what stood out: - GPT-5.5 is faster and more token-efficient It completed tasks more quickly and used fewer output tokens across the tests. - Opus 4.7 produced stronger visual outputs For landing pages, dashboards, and even the game interface, Opus felt more polished and more product-ready. - Speed is not always the same as quality GPT-5.5 often got to the result faster, but Opus 4.7 sometimes produced outputs I’d be more excited to show. - Complex systems still need debugging For the ecosystem simulation, both models created impressive first versions, but neither was perfect from one prompt. The big takeaway for me: Don’t choose an AI model only by price or hype. Test it on your real workflow. Curious to hear your thoughts: 1. Do you care more about speed and cost, or final output quality? 2. Would you use GPT-5.5 and Opus 4.7 together in a hybrid workflow? Thanks for checking it out 🙌