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CursorBench reveals that Grok 4.5's high scores were partly due to unintentional inclusion of an earlier snapshot of the Cursor codebase in its training data. The data has been removed for future models.
CursorBench 3.1 introduces new benchmark tasks focused on codebase understanding, bugfinding, planning, and code review, and presents updated scores and cost comparisons for various AI models.
Combined results from CursorBench and DeepSWE benchmarks to create a cost-vs-correctness leaderboard for AI coding models, finding that GPT-5.5 Medium offers the best cost/output ratio for everyday coding and that maxing reasoning effort rarely pays off.