AI tool comparison
Sup AI vs Portkey
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
AI Assistants
Sup AI
Confidence-weighted AI ensemble that topped Humanity's Last Exam
67%
Panel ship
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Community
Free
Entry
Sup AI uses a confidence-weighted ensemble of multiple AI models to answer hard questions. Each model rates its own confidence, and the system aggregates responses weighted by that confidence. Achieved 52.15% on Humanity's Last Exam benchmark, outperforming individual models.
AI Assistants
Portkey
AI gateway for production LLM apps
100%
Panel ship
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Community
Free
Entry
Portkey provides an AI gateway with caching, fallbacks, load balancing, guardrails, and observability for LLM applications. Production reliability for AI apps.
Reviewer scorecard
“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.”
“AI gateways will be standard infrastructure. Portkey's focus on reliability and guardrails addresses real production needs.”
“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.”
“Reliability features — caching, retries, fallbacks — are table stakes for production AI. Portkey makes them easy.”
“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.”
“The gateway approach adds caching, fallbacks, and guardrails without code changes. Production AI apps need this layer.”
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