LiveBench: Advancing Objective LLM Evaluation

LiveBench is a cutting-edge benchmark for large language models (LLMs) designed to ensure fair and reliable performance evaluation by minimizing test set contamination and maintaining rigorous standards through regular updates. Inspired by projects like Nerfies and LiveCodeBench, it features 21 diverse tasks across 7 categories, including a unique agentic coding task that challenges models to resolve real-world software issues in actual development environments. With new questions released regularly and a full benchmark refresh every six months, LiveBench provides a dynamic, evolving testing ground for AI advancements. Its transparent, open framework—licensed under Creative Commons—and academic recognition as a Spotlight Paper at ICLR 2025 underscore its credibility and commitment to innovation in AI research.

Key Features:

• Objective LLM Evaluation: Minimizes test set contamination for fair and reliable model comparisons.
• Regular Updates: New questions are released frequently, with a complete refresh every 6 months.
• 21 Diverse Tasks: Covers a broad range of capabilities across 7 distinct categories.
• Agentic Coding Task: Tests models in real development environments by solving authentic repository issues.
• Delayed Release Strategy: ~30% of questions remain unpublished to prevent data leakage and maintain integrity.
• Future-Proof Design: Plans to introduce increasingly challenging tasks over time.
• Open & Transparent: Website licensed under Creative Commons Attribution-ShareAlike 4.0 International License.
• Academic Recognition: Presented as a Spotlight Paper at ICLR 2025, reflecting high research value.

Pricing: LiveBench is available as a free, open-access resource with no cost to users. It is designed to support the research community and promote transparency in AI evaluation.

Conclusion: LiveBench stands as a trusted, evolving standard for evaluating large language models, combining academic rigor with real-world testing to drive progress in AI performance measurement.