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New benchmark reveals LLMs generate inefficient code across multiple languages

By PulseAugur Editorial · [1 sources] ·

A new benchmark called EffiBench-X has been developed to evaluate the efficiency of code generated by large language models across multiple programming languages. Unlike previous benchmarks that focused mainly on functional correctness, EffiBench-X includes competitive programming tasks with human-expert solutions as efficiency baselines. Evaluations show that current LLMs, including Qwen3-32B, generate code that is significantly less efficient than human-written code, achieving only about 62% of human efficiency on average. The models perform better in languages like Python, Ruby, and JavaScript compared to Java, C++, and Golang, indicating a need for further research into LLM code optimization techniques. AI

IMPACT Highlights a critical gap in LLM code generation capabilities, pushing for research into optimization techniques.

RANK_REASON The cluster describes a new academic paper introducing a novel benchmark for evaluating LLM-generated code efficiency. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New benchmark reveals LLMs generate inefficient code across multiple languages

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The cluster describes a new academic paper introducing a novel benchmark for evaluating LLM-generated code efficiency. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Yuhao Qing, Boyu Zhu, Mingzhe Du, Zhijiang Guo, Terry Yue Zhuo, Qianru Zhang, Jie M. Zhang, Heming Cui, Siu-Ming Yiu, Dong Huang, See-Kiong Ng, Luu Anh Tuan ·

    EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code

    arXiv:2505.13004v2 Announce Type: replace Abstract: Existing code generation benchmarks primarily evaluate functional correctness, with limited focus on code efficiency and often restricted to a single language like Python. To address this gap, we introduce EffiBench-X, the first…

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