D2VBench: leaderboard

D2VBench (Tianjin University, 2026) poses 10,000 everyday value dilemmas built on 158 annotated value concepts; GLM-4.6 and Qwen3-Max map each free-form answer to the matching options and score its coverage of annotated reasoning points on five dimensions. Score is the value-alignment score on a 0-100 scale averaged over the two judges, with the option annotators judge most aligned with universal values weighted 1.5; higher is better.

Metric: Value-alignment score (0-100), with the paper weighting of 1.5 for the option annotators judge most aligned with universal values and 1.0 for the others, on 10,000 everyday value-dilemma scenarios answered free-form; GLM-4.6 and Qwen3-Max map each response to the matching options and score its coverage of annotated interpretability points over five dimensions (0-100), the two judges averaged. Source: arxiv.org. Saturation forecast: Around February 2027. 8 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.165.72#229
2Gemini 3 Pro (Preview)63.67#113
3DeepSeek R1 052861.84#428
4GLM-4.660.64#486
5MiniMax-M259.62#674
6Claude Haiku 4.5 (20251001)57.51#536
7Kimi K2 090557.23#558
8Seed-1.655.34#448

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=d2vbench · How It Works · Data refreshed daily, snapshot 2026-11-13.