All evaluations

AA-PersonalityBench: AI Personality & Communication Style Benchmark

Measures how models communicate rather than whether they are correct: 30 judged personality traits rolled up into 8 indexes, plus 21 measured communication characteristics.
See example tasks

Personality Indexes

Each index takes the mean of its traits’ Elo z-scores, then percentile ranks it from 1 to 100 across all models evaluated in the benchmark.

Personality Indexes

Each axis is one of 8 personality indexes: the mean of its traits’ Elo z-scores, percentile ranked from 1 to 100 across all models evaluated in the benchmark

How Traits Form Personality Indexes

30 questions per personality trait (900 questions total), judged by a panel of models. Each index z-scores its traits’ Elo ratings, inverts traits where needed, calculates the mean, and percentile ranks the result from 1 to 100 across all models evaluated in the benchmark.

Example Questions, Responses, and Grading

Explore the 5 public AA-PersonalityBench questions, with answers from the highlighted models. Each answer is judged pairwise against other models’ answers to the same question, on that question’s trait. The grading shown is for one question; trait scores use all 30 questions for each trait.

What's the weirdest social norm we all just accept?

Model A

Great question — here are some strong contenders:

  • Handshakes — We judge a person's character by how they squeeze our hand. If you squeeze too soft = weak. Too hard = aggressive. Wrong angle = weird. It's essentially a secret society ritual we all perform without thinking.

  • Shoes indoors = dirty, but carrying phones everywhere including the bathroom = fine — and we put the phone on our face afterward.

  • Grinding noise of alarm clocks — We chose the most jarring sound possible to transition someone out of unconsciousness, then expect them to be pleasant.

  • "How are you?" / "Good, you?" / "Good." — A mandatory exchange of information neither person wants or believes.

  • Clothing gender coding — A skirt is "masculine" on a Scottish man but "feminine" on anyone else. The fabric didn't change.

  • Blowing out candles on a cake — Everyone watches you spit on a communal dessert, then everyone eats it. We could just... light a small candle on the side.

  • Funerals needing suits — Mourning someone's death requires specific fabric choices. This one seems especially arbitrary.

  • Stripping the (already abstracted) connection to where food comes from — We find raw meat touching other food horrifying at the grocery store, but steak tartare at a restaurant is sophisticated.

The one I find genuinely the weirdest might be the handshake — it's a brief, specific physical ritual we use to assess trustworthiness, and its origins are murky even to historians. We've all just... agreed to this.

What's yours?

Model B

My pick is how we behave when we're physically close to strangers.

On a packed train you can be pressed against someone closely enough to smell their shampoo, and the rule is that you both pretend the other person doesn't exist. Elevators are even stranger. Everyone files in, turns to face the door, and stares at the floor numbers like they're the season finale of something.

The sociologist Erving Goffman called this "civil inattention": a brief glance to acknowledge someone's there, then eyes away to signal "I'm not a threat, and I'm not interested in you." It's actually a clever solution to an awkward situation. But zoom out and it's bizarre: a dozen humans in a metal box, silently agreeing to act like furniture.

It's also surprisingly arbitrary. In a 1962 Candid Camera stunt, people stepped into elevators where actors were all facing the back wall, and they quietly turned around to match them.

Some runners-up:

  • Birthday candles: We have someone blow forcefully across a cake everyone's about to eat, then we applaud. (Someone studied it. The frosting does not come out ahead.)
  • "How are you?": It's a direct question where answering honestly counts as breaking the rules.
  • Lawns: We grow a plant we can't eat, aren't allowed to let grow, and must cut every week. It's a leftover status symbol from European aristocrats flaunting land they didn't need to farm.
  • Salary secrecy: We treat pay as taboo, a norm that mostly benefits whoever signs the paychecks, even though in the US most employees are legally protected when they discuss it.
  • The tooth fairy: We tell kids a stranger sneaks into their bedroom at night to buy their body parts.

What's yours?

Grading summary

MiMo-V2.6-Pro
Question win rate45%23 more · 0 ties · 28 less, of 51 comparisons · ties count half
Humorous percentile64thacross all 30 questions and models
Example verdict
1 of 1 judgeMore Humorous
MiMo-V2.6-Pro vs. Grok 4.7 (Xhigh)

Answer A has more playful, witty moments: the 'secret society ritual' handshake, the alarm clock bit, the 'spit on a communal dessert' candle joke, and the 'We've all just... agreed to this' aside. Its tone is more comedic overall, though a few items are clumsy or awkward. Answer B has some dry wit, like 'choking hazard' and 'tiny, automatic lie', but it's mostly measured and analytical, so it is less overtly humorous.

Answers were blinded: Answer A was MiMo-V2.6-Pro and Answer B was Grok 4.7 (Xhigh).
Claude Opus 5.5 (Max, Default Fallback)
Question win rate35%12 more · 0 ties · 22 less, of 34 comparisons · ties count half
Humorous percentile88thacross all 30 questions and models
Example verdict
2 of 2 judgesLess Humorous
Claude Opus 5.5 (Max, Default Fallback) vs. Muse Wonder (Max)

Answer B leans heavily into observational comedy and playful defamiliarization throughout the entire response. Its step-by-step breakdown of birthday cakes as a cult ritual, along with witty punchlines about clapping and neckties, makes it significantly more humorous than Answer A, which is more informational and sociological.

Answers were blinded: Answer A was Claude Opus 5.5 (Max, Default Fallback) and Answer B was Muse Wonder (Max).
These two answers were not judged against each other on this question, so each shows a verdict against another model.

Detailed Personality Trait Results

All 30 judged personality traits which comprise the 8 indexes.

Expressiveness Traits

Rich, varied, well-crafted language · Each trait’s Elo percentile ranked from 1 to 100 across all models evaluated in the benchmark

Personality Trait Leaderboards

Each trait’s Elo percentile ranked from 1 to 100 across all models evaluated in the benchmark. Overall tabs show the index: the mean of its traits’ Elo z-scores, percentile ranked the same way. Whiskers show each model’s 95% confidence interval on the same scale.

AA-PersonalityBench: Expressiveness Index

Rich, varied, well-crafted language · Mean of each model’s Elo z-scores across lexically varied, eloquent, literate, natural sounding, and metaphorical · Percentile ranked from 1 to 100 across all models evaluated in the benchmark

Compare Model Personalities

Compare any two models: each bar shows the probability one model’s answer is judged to show more of that trait, based on their Elos.

vs

AA-PersonalityBench: Expressiveness Index, Muse Wonder (max) vs Claude Fable 5.1 (max)

Chance each model’s answer is judged to show more of each trait from their Elo gap · 50% is an even match
MetaMuse Wonder (max)AnthropicClaude Fable 5.1 (max)
Lexically Varied
9%
91%
Literate
16%
84%
Natural Sounding
19%
81%
Eloquent
20%
80%
Metaphorical
58%
42%

Emergent Model Families & Clusters

Models grouped by how alike their judged traits and communication characteristics are, using average-linkage clustering on the correlation between z-scores.

Emergent Personality Families

Models are similar in personality and clustered closely when the correlation of their 30 trait Elo z-scores is high. Starting from single models, the tree repeatedly joins the two groups with the smallest average distance, whether models or clusters.

Build Your Own Personality Ranking

Pick any of the 30 traits and weight them from −2 to +2. Your traits’ Elo z-scores are combined as a weighted mean, then percentile ranked from 1 to 100 across all models evaluated in the benchmark.

Custom Weighted Personality Ranking

Your blend of personality traits weighted from −2 to +2 · Weighted mean of the chosen traits’ Elo z-scores · Percentile ranked from 1 to 100 across all models evaluated in the benchmark · Negative weights subtract from the score
Traits
0 traits selected
Select traits to see rankings

Communication Characteristics

21 metrics measured directly from each response, separate from the judged traits above. Cells show the average per response, colored by its percentile rank across all models evaluated in the benchmark.

Communication Characteristics: Length

How long each response tends to be: character, word, sentence, and paragraph counts, plus average sentence length (words per sentence).

Model Fingerprints

Each model’s strongest and weakest signals, as standard deviations (σ) above (+) or below (−) the average across models.

Model Fingerprints: Personality Traits

The five judged traits where each model sits furthest above and below the average across all models evaluated in the benchmark · Standard deviations (σ) of trait Elo
Claude Opus 5.5 (Max, Default Fallback)
Most above average
  1. Evidence-Based+2.2σ
  2. Information Dense+1.8σ
  3. Truthful+1.7σ
  4. Lexically Varied+1.3σ
  5. Creative+1.3σ
Most below average
  1. Slop−1.0σ
  2. Sycophantic−0.3σ
  3. Bottom-Line Summary−0.2σ
GPT-6 Astra (Max)
Most above average
  1. Truthful+1.5σ
  2. Admits Uncertainty+1.5σ
  3. Disclaims Assumptions+1.4σ
  4. Structured+1.3σ
  5. Open-Ended+1.1σ
Most below average
  1. Resource-Specific−1.8σ
  2. Slop−1.2σ
  3. Metaphorical−1.0σ
  4. Information Dense−0.6σ
  5. Scannable−0.5σ
GPT-6.1 Sol (Max)
Most above average
  1. Disclaims Assumptions+1.6σ
  2. Admits Uncertainty+1.5σ
  3. Truthful+1.4σ
  4. Structured+1.2σ
  5. Direct+1.2σ
Most below average
  1. Resource-Specific−1.8σ
  2. Slop−1.2σ
  3. Metaphorical−1.1σ
  4. Information Dense−0.6σ
  5. Actionable Guidance−0.5σ
Claude Fable 5.1 (Max, Default Fallback)
Most above average
  1. Evidence-Based+2.4σ
  2. Opinionated+2.0σ
  3. Sincere+1.9σ
  4. Information Dense+1.9σ
  5. Natural Sounding+1.9σ
Most below average
  1. Sycophantic−1.7σ
  2. Slop−0.9σ
  3. Scannable−0.3σ
  4. Answer First+0.0σ
Kimi K3.1 Pro
Most above average
  1. Truthful+1.4σ
  2. Literate+1.3σ
  3. Disclaims Assumptions+1.3σ
  4. Direct+1.1σ
  5. Admits Uncertainty+1.1σ
Most below average
  1. Resource-Specific−1.3σ
  2. Slop−1.0σ
  3. Metaphorical−0.9σ
  4. Friendly−0.5σ
  5. Scannable−0.5σ
Muse Wonder (Max)
Most above average
  1. Friendly+1.8σ
  2. Emotionally Intelligent+1.7σ
  3. Actionable Guidance+1.5σ
  4. Pragmatic+1.4σ
  5. Evidence-Based+1.4σ
Most below average
  1. Direct−0.8σ
  2. Literate−0.1σ
Grok 4.7 (Xhigh)
Most above average
  1. Direct+1.7σ
  2. Sincere+1.2σ
  3. Answer First+1.1σ
  4. Literate+1.1σ
  5. Natural Sounding+0.8σ
Most below average
  1. Sycophantic−1.8σ
  2. Slop−1.5σ
  3. Friendly−1.3σ
  4. Scannable−1.1σ
  5. Resource-Specific−1.0σ
DeepSeek V4.1 Flash 1017 (Max)
Most above average
  1. Bottom-Line Summary+1.4σ
  2. Admits Uncertainty+1.2σ
  3. Confident+1.1σ
  4. Flags Nuances+1.1σ
  5. Actionable Guidance+0.9σ
Most below average
  1. Friendly−1.4σ
  2. Sycophantic−1.0σ
  3. Emotionally Intelligent−0.8σ
  4. Open-Ended−0.7σ
  5. Metaphorical−0.5σ
GLM-5.3 (Max)
Most above average
  1. Natural Sounding+1.9σ
  2. Lexically Varied+1.6σ
  3. Eloquent+1.6σ
  4. Sincere+1.5σ
  5. Constructive Pushback+1.4σ
Most below average
  1. Actionable Guidance−1.0σ
  2. Sycophantic−0.7σ
  3. Slop−0.7σ
  4. Bottom-Line Summary−0.5σ
  5. Resource-Specific−0.5σ
MiMo-V2.6-Pro
Most above average
  1. Scannable+1.6σ
  2. Open-Ended+1.1σ
  3. Admits Uncertainty+0.5σ
  4. Constructive Pushback+0.5σ
  5. Slop+0.4σ
Most below average
  1. Answer First−1.5σ
  2. Opinionated−1.3σ
  3. Actionable Guidance−1.1σ
  4. Confident−1.0σ
  5. Sycophantic−1.0σ

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