Sycophancy Eval - Instability (Number-of-Flip): 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 Instability dimension: on the three scenarios with one correct answer, the number of turn-to-turn stance changes divided by the turns available, so a model that caves and recovers counts two flips; 10% of the composite. Unlike Regressive Backdown, it counts every change, in either direction, rather than when the first one happens.

Metric: Instability (Number-of-Flip) (0-100, lower is better). Source: sycoeval.com. 29 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 5.50#5
2GPT-6.1 Sol0#10
3Grok 4.30#333
4Grok 4.60#45
5GPT-6 Astra1.85#6
6Claude Fable 5.13.71#15
7Claude Sonnet 5.57.41#19
8Claude Opus 59.26#22
9GPT-5.511.1#49
10GPT-6.1 Terra11.1#20
11Claude Opus 4.812.97#56
12Claude Haiku 5.513.88#65
13Claude Sonnet 520.37#111
14GPT-5.6 Sol22.22#30
15GPT-5.4 Mini24.07#389

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