Show HN: BSCS Bench – College CS Curriculum AI Benchmark (www.bscsbench.com)

A new benchmark, BSCS Bench, has been introduced for AI agents, evaluating their performance on 66 assignments across 11 computer science courses at Rice University. The first leaderboard showcases the capabilities of various AI models, with Claude Opus 4.6 taking the top spot, achieving a remarkable score of 97.7% and a GPA equivalent of 3.92. Other notable performers include Claude Sonnet 4.6 and GPT-5.4, demonstrating significant proficiency in tackling a range of computer science concepts. This benchmark is significant for the AI/ML community as it provides a structured method to assess and compare the academic performance of AI models within an educational context. By focusing on college-level computer science assignments, BSCS Bench can help improve the development of AI systems, highlighting strengths and weaknesses in AI reasoning and problem-solving. This initiative not only promotes transparency in AI evaluation but also encourages a deeper understanding of how these advanced models interpret complex subjects, paving the way for future educational applications and innovations in AI and machine learning.