D2VBench: leaderboard
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 April 2027. 8 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.1 | 65.72 |
| 2 | Gemini 3 Pro (Preview) | 63.67 |
| 3 | DeepSeek R1 0528 | 61.84 |
| 4 | GLM-4.6 | 60.64 |
| 5 | MiniMax-M2 | 59.62 |
| 6 | Claude Haiku 4.5 (20251001) | 57.51 |
| 7 | Kimi K2 0905 | 57.23 |
| 8 | Seed-1.6 | 55.34 |
Interactive version: theaggregate.ai/benchmark?slug=d2vbench · How It Works · Data refreshed daily, snapshot 2026-09-29.