Terminal-Bench-LILT: Multilingual Agentic Coding Benchmark Grounded in Language, Region, and Culture

Yunsu Kim; Kaden Uhlig; Ashwin Purohit; Milind Agarwal; Patrick Simianer; Anil Arslan; Kiarash Mokhtari; Thomas Zenkel; Johannes Mosig; Gabriel Bretschner; Shamik Bose; Joern Wuebker; John DeNero

arXiv · 2608.28641

Terminal-Bench-LILT: Multilingual Agentic Coding Benchmark Grounded in Language, Region, and Culture

Yunsu Kim·Kaden Uhlig·Ashwin Purohit·Milind Agarwal·Patrick Simianer·Anil Arslan·Kiarash Mokhtari·Thomas Zenkel·Johannes Mosig·Gabriel Bretschner·Shamik Bose·Joern Wuebker·John DeNero

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Abstract

Most evaluations for coding agents are conducted exclusively in English, which does not reflect real-world multilingual deployment. We present Terminal-Bench-LILT, a suite of 300 authentic coding tasks in ten languages: Arabic, Czech, German, Spanish, Hindi, Japanese, Korean, Serbian, Turkish, and Chinese. Each task targets issues specific to non-English software development that have no direct English equivalent, e.g., internationalization, encoding, text normalization, and cultural conventions. All tasks are authored by native-speaker programmers and validated through a multi-stage quality control pipeline. Evaluation of six frontier models reveals that even the strongest model reaches only 63.1\% pass rate, with many tasks unsolved by any model. Performance varies substantially by language and does not track general coding benchmark rankings, highlighting that multilingual coding competence is a distinct and underexplored capability axis. Sample tasks are available at https://github.com/lilt/terminal-bench-lilt

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Yunsu Kim, Kaden Uhlig, Ashwin Purohit, Milind Agarwal, Patrick Simianer, Anil Arslan, Kiarash Mokhtari, Thomas Zenkel, Johannes Mosig, Gabriel Bretschner, Shamik Bose, Joern Wuebker, John DeNero. 2026-08-11. Terminal-Bench-LILT: Multilingual Agentic Coding Benchmark Grounded in Language, Region, and Culture. https://arxiv.org/abs/2608.28641

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