ChatGPT vs Sup AI

“GPT-4o's multimodal API is production-ready and covers text, vision, audio, and code in one endpoint. o3 is now my go-to for hard algorithmic problems. The breadth of the platform — Projects, memory, custom GPTs — means there's always a right tool in this toolbox.”

“No API, no self-hosting option, and the ensemble approach means your per-query cost is 3-5x a single model call. The benchmark numbers are compelling but I cannot integrate this into a product. Ship an API and I will reconsider.”

“Too many model tiers (o1, o3, GPT-4o, GPT-4o-mini, GPT-4.5) creates confusion. But the platform keeps shipping and the quality is undeniable. Claude still edges it on reasoning depth, but for everything else, ChatGPT is the safe default.”

“The benchmark result is legitimately impressive and the methodology is transparent. My concern is latency — querying multiple models and aggregating adds significant time. For research and high-stakes questions it is worth the wait. For everyday chat it is overkill.”

“Canvas transformed my writing workflow — real-time co-editing, tone controls, and length adjustment without reprompting. Sora for quick video concepts is a creative shortcut I use weekly. Voice mode on walks is genuinely useful for ideation.”

“The memory feature compounds — the longer you use it, the more personalized it becomes. Projects make ChatGPT a persistent collaborator, not a stateless chat window. OpenAI is building the ambient AI layer and ChatGPT is the front door.”

“Confidence-weighted ensembling is the quiet breakthrough everyone is sleeping on. Individual models plateau — but smart aggregation keeps pushing the frontier. Sup AI scoring 52% on Humanity's Last Exam when no single model breaks 40% proves the thesis.”