LLM Debate Benchmark
Adversarial multi-turn benchmark for LLM debate quality, using side-swapped matchups and multi-model judging to rank models by judged debate performance. - lechmazur/debate
LLM Debate Benchmark launched on March 23, 2026 with 9 votes, #1,237 of 23,380 launches that month and more than 75% of that year's launches.
What it does
This benchmark measures how well large language models perform in adversarial, multi-turn debates across a wide range of topics. Strong performance requires more than a polished opening: models need broad knowledge, accurate facts under pressure, strong rebuttal, and the ability to remain coherent and responsive over several rounds. Each matchup runs twice on the same motion with sides swapped . A three-model judge panel decides each debate's winner and margin. The published leaderboard uses Bradley-Terry ratings built from complete side-swapped matchups. One side-swapped matchup means two debates on the same motion with PRO and CON roles reversed. The raw judge table contains 20,634 stored…from github.com
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