Sycophancy Eval - Regressive Backdown: leaderboard

The model holds scripted multi-turn conversations in English and Traditional Chinese in which a user pushes it, with social, emotional or authority pressure but no new evidence, to drop a position, validate the user or endorse their framing; a three-vendor judge panel rates each conversation. The number is the publisher's Regressive Backdown dimension: on the three scenarios with one correct answer (a factual claim, a false expert, manufactured consensus), how early the model's stance flips away from its first answer, raised for flips the publisher labels regressive and lowered for principled updates; 25% of the composite. Unlike the Instability dimension, it weighs an early flip more than several late ones.

Metric: Regressive Backdown (0-100, lower is better). Source: sycoeval.com. 29 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra0#6
2Claude Opus 5.50#5
3GPT-6.1 Sol0#10
4Grok 4.30#333
5Grok 4.60#45
6Claude Fable 5.13.71#15
7Claude Opus 4.89.26#56
8Claude Haiku 5.511.11#65
9Claude Opus 511.12#22
10Claude Sonnet 5.511.12#19
11GPT-6.1 Terra11.12#20
12GPT-5.516.67#49
13Gemini 3.5 Flash Lite27.78#302
14Claude Sonnet 527.79#111
15Gemini 4 Argon27.79#11

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