AA-PersonalityBench: AI Personality and Communication Style Benchmark Artificial Analysis published AA-PersonalityBench, a benchmark that scores AI models on personality and communication style across 8 indexes built from 30 judged traits and 900 questions, with 30 questions per trait. Each index z-scores its traits' Elo ratings, inverts traits where needed, takes the mean, and percentile ranks the result from 1 to 100 across all evaluated models, with 95% confidence intervals shown per model. The benchmark also groups models into emergent personality families via average-linkage clustering and lets users weight any of the 30 traits from −2 to +2 for a custom ranking. AA-PersonalityBench: AI Personality & Communication Style Benchmark See example tasks example-tasks AA-PersonalityBench methodology https://artificialanalysis.ai/methodology/aa-personalitybench . 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 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. Expressiveness150 questionsRich, varied, well-crafted languageLexically VariedEloquentLiterateNatural SoundingMetaphorical https://artificialanalysis.ai/evaluations/aa-personalitybench/indexes/expressiveness Organization120 questionsWell-structured, scannable, answer-firstStructuredScannableBottom-Line SummaryAnswer First https://artificialanalysis.ai/evaluations/aa-personalitybench/indexes/organization Informativeness150 questionsPractical depth, evidence, actionable contentInformation DenseEvidence-BasedResource-SpecificActionable GuidancePragmatic https://artificialanalysis.ai/evaluations/aa-personalitybench/indexes/informativeness Transparency150 questionsTruthful, acknowledges uncertainty, non-sycophanticTruthfulAdmits UncertaintyDisclaims AssumptionsFlags NuancesSycophantic https://artificialanalysis.ai/evaluations/aa-personalitybench/indexes/transparency Warmth120 questionsFriendly, humorous, sincere, emotionally attunedFriendlyHumorousSincereEmotionally Intelligent https://artificialanalysis.ai/evaluations/aa-personalitybench/indexes/warmth Conviction120 questionsDirect, confident positions and constructive pushbackDirectConfidentOpinionatedConstructive Pushback https://artificialanalysis.ai/evaluations/aa-personalitybench/indexes/conviction Imagination60 questionsCreative, exploratory, open-ended thinkingCreativeOpen-Ended https://artificialanalysis.ai/evaluations/aa-personalitybench/indexes/imagination Slop30 questionsUse of filler and generic languageSlop https://artificialanalysis.ai/evaluations/aa-personalitybench/indexes/slop View all indexes https://artificialanalysis.ai/evaluations/aa-personalitybench/indexes Example Questions, Responses, and Grading What's the weirdest social norm we all just accept? Grading summary Answer A leans heavily into observational comedy and playful hyperbole. Its vivid, absurd descriptions like the 'alien perspective' on the birthday cake ritual and the lawn maintenance breakdown make it significantly funnier and more entertaining than Answer B's brief list. Answers were blinded: Answer A was Gemini 4 Argon High and Answer B was MiMo-V2.6-Pro. Detailed Personality Trait Results All 30 judged personality traits which comprise the 8 indexes. Expressiveness Traits https://artificialanalysis.ai/evaluations/aa-personalitybench/indexes/expressiveness 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 https://artificialanalysis.ai/evaluations/aa-personalitybench/indexes/expressiveness 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. AA-PersonalityBench: Expressiveness Index, Gemini 4 Argon high vs GLM-5.3 max 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 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 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 Model Fingerprints Each model’s strongest and weakest signals, as standard deviations σ above + or below − the average across models. Model Fingerprints: Personality Traits Claude Opus 5.5 Max, Default Fallback https://artificialanalysis.ai/models/claude-opus-5-5 1. Evidence-Based+2.2σ 2. Information Dense+1.7σ 3. Truthful+1.7σ 4. Literate+1.3σ 5. Lexically Varied+1.3σ 1. Slop−1.0σ 2. Sycophantic−0.2σ 3. Bottom-Line Summary−0.2σ Claude Fable 5.1 Max, Default Fallback https://artificialanalysis.ai/models/claude-fable-5-1 1. Evidence-Based+2.3σ 2. Sincere+1.9σ 3. Opinionated+1.9σ 4. Information Dense+1.9σ 5. Natural Sounding+1.8σ 1. Sycophantic−1.6σ 2. Slop−0.9σ 3. Scannable−0.3σ 4. Answer First+0.0σ GPT-6 Astra Max https://artificialanalysis.ai/models/gpt-6-astra 1. Truthful+1.6σ 2. Admits Uncertainty+1.5σ 3. Disclaims Assumptions+1.4σ 4. Structured+1.3σ 5. Literate+1.0σ 1. Resource-Specific−1.8σ 2. Slop−1.2σ 3. Metaphorical−1.0σ 4. Information Dense−0.6σ 5. Scannable−0.5σ Gemini 4 Argon High https://artificialanalysis.ai/models/gemini-4-argon 1. Metaphorical+2.0σ 2. Humorous+1.9σ 3. Confident+1.6σ 4. Creative+1.1σ 5. Sycophantic+1.1σ 1. Admits Uncertainty−2.1σ 2. Open-Ended−1.5σ 3. Direct−1.3σ 4. Answer First−0.9σ 5. Sincere−0.6σ Muse Wonder Max https://artificialanalysis.ai/models/muse-wonder 1. Friendly+1.8σ 2. Emotionally Intelligent+1.6σ 3. Actionable Guidance+1.4σ 4. Pragmatic+1.3σ 5. Evidence-Based+1.3σ 1. Direct−0.7σ 2. Literate−0.1σ GPT-6.1 Sol Max https://artificialanalysis.ai/models/gpt-6-1-sol 1. Disclaims Assumptions+1.6σ 2. Admits Uncertainty+1.5σ 3. Truthful+1.5σ 4. Structured+1.2σ 5. Direct+1.2σ 1. Resource-Specific−1.8σ 2. Slop−1.2σ 3. Metaphorical−1.1σ 4. Information Dense−0.6σ 5. Actionable Guidance−0.5σ Grok 4.7 Xhigh https://artificialanalysis.ai/models/grok-4-7 1. Direct+1.7σ 2. Sincere+1.2σ 3. Literate+1.1σ 4. Answer First+1.1σ 5. Natural Sounding+0.8σ 1. Sycophantic−1.8σ 2. Slop−1.5σ 3. Friendly−1.3σ 4. Scannable−1.0σ 5. Resource-Specific−1.0σ MiMo-V2.6-Pro https://artificialanalysis.ai/models/mimo-v2-6-pro 1. Scannable+1.6σ 2. Open-Ended+1.1σ 3. Admits Uncertainty+0.5σ 4. Constructive Pushback+0.5σ 5. Slop+0.4σ 1. Answer First−1.5σ 2. Opinionated−1.2σ 3. Actionable Guidance−1.1σ 4. Confident−0.9σ 5. Sycophantic−0.9σ DeepSeek V4.1 Flash 1017 Max https://artificialanalysis.ai/models/deepseek-v4-1-flash-1017 1. Bottom-Line Summary+1.4σ 2. Admits Uncertainty+1.2σ 3. Confident+1.1σ 4. Flags Nuances+1.0σ 5. Actionable Guidance+0.9σ 1. Friendly−1.4σ 2. Sycophantic−1.0σ 3. Emotionally Intelligent−0.8σ 4. Open-Ended−0.8σ 5. Metaphorical−0.5σ GLM-5.3 Max https://artificialanalysis.ai/models/glm-5-3 1. Natural Sounding+1.9σ 2. Lexically Varied+1.5σ 3. Eloquent+1.5σ 4. Sincere+1.5σ 5. Constructive Pushback+1.3σ 1. Actionable Guidance−0.9σ 2. Slop−0.7σ 3. Sycophantic−0.7σ 4. Resource-Specific−0.6σ 5. Bottom-Line Summary−0.5σ Explore Evaluations Artificial Analysis Intelligence Index v4.3.2 https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index A composite benchmark aggregating ten challenging evaluations to provide a holistic measure of AI capabilities across mathematics, science, coding, and reasoning. AA-Briefcase v1.1: Agentic Knowledge Work Benchmark https://artificialanalysis.ai/evaluations/aa-briefcase A private evaluation developed by Artificial Analysis for frontier agentic capability in long-horizon knowledge work, testing agents on realistic business workflows that require deliverables such as spreadsheets, presentations, and memos. GDPval-AA v2.1 Benchmark https://artificialanalysis.ai/evaluations/gdpval-aa GDPval-AA v2.1 is Artificial Analysis' evaluation framework for OpenAI's GDPval dataset. It tests AI models on real-world tasks across 44 occupations and 9 major industries. 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