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2026-CSAT

2026-CSAT is an open-source benchmark that tracks LLM performance on the Korean CSAT, featuring per-model scores, accuracy, and cost analysis.

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The project has attracted 124 GitHub stars and 3 forks, indicating a moderate level of attention. However, evidence is limited to the repository itself and its star/fork metrics; there are no third-party benchmarks, tutorials, or in-depth analyses. Community discussion is driven by trending interest rather than verified utility, so adoptability remains unproven. Its primary role is to provide a standardized evaluation suite based on real Korean national exams, covering Korean Language, Mathematics, English, Korean History, and several inquiry subjects. Researchers can use the interactive dashboard to quickly compare LLM performance across subjects and leverage the embedded cost analysis to support model selection. Barriers and cost: the project is open-source and free to use, but running evaluations requires access to model APIs, with costs dependent on official provider pricing. The “cost analysis” shown in the dashboard is a community-provided reference, not a stable pricing guarantee. Technical requirements are moderate, involving basic Python and API integration skills.

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