ESDR-Bench: leaderboard

Metric: Pairwise preference accuracy (%) over all benchmark pairs (micro average of the modality and colloquialness subsets); the evaluator is given both full multi-turn spoken dialogue episodes of a pair (zero-shot audio judges by prompt, dedicated evaluators by their own scoring) and must prefer the labeled one; pairs come from ESDR-Bench, a source- and metadata-stratified sample of the held-out split; chance 50; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 10 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro76.42#145
2Gemini 2.5 Flash61.81#237
3Qwen2.5-Omni-7B51.47#601

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=esdr-bench · How It Works · Data refreshed daily, snapshot 2026-10-11.