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LiveBench review

Free#18 of 29 in LLM Evaluation Tools

An open-source benchmark for objective, frequently refreshed model comparisons.

7.5/10Editor score
LiveBench7.5 Visit LiveBench

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

LiveBench is an open-source benchmark and web leaderboard for comparing large language models across releases and capability categories. It is aimed at teams and researchers that want fresh comparisons based on frequently refreshed questions, recent information sources, and objectively verifiable answers. The project supports both local and API-model evaluation, with evaluation code, datasets, and model-answer workflows available alongside the public leaderboard.

Its strongest distinction is the evaluation design. LiveBench uses objective ground-truth scoring rather than an LLM judge, which makes it a fit for comparisons where reproducible, verifiable answers matter. The benchmark spans reasoning, coding, mathematics, data analysis, language, and instruction following, while also including agentic coding tasks in realistic development environments. The web leaderboard adds cost-per-successful-task comparisons, giving model selection a task-outcome and cost perspective rather than relying only on aggregate scores.

LiveBench also fits workflows that need flexibility across deployment environments: the published project supports web, API, and self-hosted use, as well as local model evaluation. Its focus is benchmarking and comparison rather than the broader experiment management, monitoring, or evaluation coverage associated with full evaluation platforms. Teams looking for a frequently refreshed benchmark with broad capability categories and objective scoring should consider LiveBench. Those needing a wider evaluation platform or an LLM-judge-based approach should choose a different tool.

LiveBench pros and cons

  • Where it wins
    • Frequently refreshed questions help limit benchmark contamination
    • Objective ground-truth scoring avoids reliance on an LLM judge
    • Covers reasoning, coding, math, language, and agentic coding
  • Where it doesn't
    • Narrower than full evaluation platforms
    • Objective scoring does not use an LLM judge
    • Agentic coding evaluations may not fit every evaluation program

LiveBench fact sheet, pricing and score →

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