An Empirical Evaluation of Cost-Efficient Large Language Models on Algorithmic Programming Tasks
arXiv:2609.18052v1 Announce Type: cross Abstract: This study empirically evaluates whether cost-efficient Large Language Models (LLMs) can be trusted to generate enterprise code to a written specification. Three models (Gemini Flash 3, GPT-5.4 mini…
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Published3 d ago (Thu, 17 Sep 2026 04:00:00 GMT)
RetrievedThu, 17 Sep 2026 15:30:40 GMT via rss
ClassifiedThu, 17 Sep 2026 15:30:51 GMT by heuristic
AuthorChandimal Adikari, Nandika Herath