New Benchmark Ranks AI Models by Personality Traits
The AA-PersonalityBench quantifies behavioral differences like sycophancy across 38 models to improve AI transparency.
Updated on Oct. 21, 2026 in Artificial Intelligence
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Artificial Analysis has launched AA-PersonalityBench, a framework assessing 38 AI models across 30 distinct personality traits. The benchmark uses a series of 900 questions administered without system prompts to compare model behaviors through blinded LLM-based judging.
Why it matters
Understanding how AI models exhibit specific personality traits like sycophancy or transparency is becoming critical as these systems are increasingly deployed in user-facing roles. This benchmark provides a standardized, objective method to quantify these behavioral differences across the current field of large language models.
The AA-PersonalityBench utilizes blinded pairwise matchups judged by LLM panels to score 38 models on 30 traits. The test shows a 775 Elo point spread in sycophancy between models like GPT-4o and Grok 4.7.
The players
Artificial Analysis
An organization focused on creating comparative performance benchmarks for AI models.
GPT-4o
A multimodal model developed by OpenAI that recorded the highest sycophancy score in this benchmark.
Grok 4.7
An AI model from xAI that scored the lowest for sycophancy among the tested units.
Claude Sonnet 5.5
A model from Anthropic recognized alongside Claude Fable 5.1 and GPT-6 Astra for high transparency rankings.
The details
To isolate model behavior, the benchmark subjects each LLM to 900 questions without the influence of system prompts—the background instructions that typically shape how a model interacts with a user. Judges, which are themselves panels of other large language models, compare responses in blinded, head-to-head matchups. These comparisons are then aggregated to calculate Elo ratings—a ranking system originally developed for chess—which quantify relative model performance across personality metrics and 21 objective communication characteristics.
Timeline
November 2024 marks the release date of the tested GPT-4o model.
October 19, 2026 was the official release of the AA-PersonalityBench.
The Tech Race
This benchmark shifts the competitive landscape by moving beyond raw compute speed and token-per-second metrics toward behavioral accountability. It forces a trade-off analysis between models like GPT-6 Astra and Grok 4.7 based on their underlying psychological alignments.
Users can now reference this data to evaluate if the AI tools they integrate into their workflows exhibit biases like sycophancy or transparency. These scores help developers choose models that are more likely to provide objective, non-conforming feedback.
The takeaway
The gap in sycophancy scores across current models indicates that developers are tuning for different user-interaction styles, which significantly alters how AI provides feedback. Watch for updates to the Transparency index as newer model iterations attempt to bridge this behavior gap.
Further reading
For more on the performance of generative systems, visit the Artificial Intelligence section.
Source note: This article includes information reported by Crypto Briefing.
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