Four Models Crack the Pareto Frontier Eleven Times. The Frontier Is a Moving Target, Obviously.
Artificial Analysis reports that the Intelligence Index versus Cost per Task Pareto frontier shifted with releases of MiMo-V2.6-Pro, Claude Opus 5.5, GPT-6 Luna, and GPT-6 Sol. Together they established eleven new points on the frontier, driven by different reasoning efforts. Five of those points came from a single model family.
The mechanism here is Pareto efficiency, borrowed from economics. A point sits on the frontier when no other point is simultaneously cheaper AND smarter. Eleven new points in one week means the cost of frontier-grade reasoning is dropping faster than most software pricing models assume. The lesson for the layperson: when you evaluate an AI tool, check whether it sits near the current frontier or represents last year's bargain at yesterday's prices.
Artificial Analysis, a benchmarking organization, published the findings on X. The models come from multiple labs, suggesting this is not a single breakthrough but a coordinated industry-wide shift.
- Visit Artificial Analysis on X to view their Intelligence Index versus Cost per Task chart. You will see a scatter plot with the Pareto frontier drawn as a line.
- Pick a task you perform regularly, like writing or coding. Compare three models on that chart, one expensive and two cheap. Note which gives acceptable quality at the lowest cost per task.
- Run your actual task on the cheapest acceptable model. If the output suffices, you have found your personal Pareto point.