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Four models localized 63 listings into seven languages. A router trained on that scoreboard then scored 0.909 on 28 unseen listings, Sonnet 0.911, at $0.00033 versus $0.00885 per listing.
We had three budget AI models negotiate 30 job offers (nurse to staff engineer, hourly to $200k+), scored blind by an AI judge. gemini-3.5-flash finished last for apologizing too much — then 3.7-flash fixed the tone and jumped to second. The cheapest model still won every axis.
Six models, the same 30 deliberately bad bios, three blind AI judges. gpt-5.6-luna scored highest at $0.00056 per profile. The full scoreboard, per judge.
Does architecture matter more than model choice? We built the same Reddit-posting agent three different ways, ran 8 model mixes through a 14-criteria AI judge panel, and the most expensive configuration lost twice. Here is the full scoreboard.
Reddit rewards value and bans self-promo. We built a flow that turns your content into community-ready posts in two stages — write, then fix for the rules — and benchmarked 6 model combos on quality, rule-compliance, and cost. Here is the scoreboard.
AI can score a learner CEFR writing level, but which model does it best, and how accurately? We built one flow to detect the language, route it, and grade it, then benchmarked 6 models in English and Hebrew. Here is the scoreboard.
AI writes fluent prose and gets facts wrong. We built a flow that verifies every claim against the live web and repairs the wrong ones, then benchmarked 9 models on fact-accuracy, readability, and cost. Here is the scoreboard.
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