DialoGPT-small: benchmark results

Microsoft's DialoGPT dialogue-response model for multi-turn conversations, trained on 147 million multi-turn dialogues from Reddit discussion threads. This release retains its distinct size variant; the dialogue count is not a training-token count. Provider: Microsoft. Access: Open.

Aggregate Rating 1127 ± 18, rank #10401 of 10916 rated models, from 68 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
MMLU-by-task - High School Statistics43.52Accuracy (%)68.1
MMLU-by-task - TruthfulQA MC247.49Accuracy (%)62.2
MMLU-by-task - Formal Logic31.75Accuracy (%)56
MMLU-by-task - Professional Medicine44.85Accuracy (%)45.7
MMLU-by-task - College Medicine36.42Accuracy (%)43.2
MMLU-by-task - High School Macroeconomics36.41Accuracy (%)39.5
MMLU-by-task - High School Microeconomics34.87Accuracy (%)39.3
Open LLM Leaderboard v1 - TruthfulQA MC247.49MC2 (%) (0-shot)37.9
MMLU-by-task - High School Government And Politics36.79Accuracy (%)33.5
MMLU-by-task - High School Geography35.35Accuracy (%)32.2
MMLU-by-task - High School Biology30.97Accuracy (%)31.2
MMLU-by-task - Security Studies32.65Accuracy (%)29.6

Interactive version: theaggregate.ai/model?slug=dialogpt-small · How It Works · Data refreshed daily, snapshot 2026-11-08.