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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 and Claude

arXiv cs.AIResearch source·