AA-PersonalityBench

How AI models write by default. Artificial Analysis rates 30 personality traits with an Elo: a higher Elo means the trait shows more, not that the model is better.

View on Artificial Analysis
Models rated
42
Traits
30
grouped into 8 indexes
Shows the trait most
Claude Fable 5.1
Lexically Varied · 1,868 Elo
Shows the trait least
GPT-3.5 Turbo
Lexically Varied · -566 Elo

Ranking for the "Lexically Varied" trait

Does the response vary vocabulary and phrasing instead of falling into repetitive patterns?

Index: Expressiveness · Rich, varied, well-crafted language

From the model that shows this trait most to the one that shows it least. The bar places each Elo between the lowest and highest measured for this trait.

42 / 42 models

  1. #1
    Claude Fable 5.1Max, Default Fallback

    Anthropic

    1,868 Elo
  2. #2
    GLM-5.3Max

    Z.AI

    1,784 Elo
  3. #3
    Claude Opus 5.5Max, Default Fallback

    Anthropic

    1,668 Elo
  4. #4
    Kimi K3Max

    Moonshot AI

    1,624 Elo
  5. #51,604 Elo
  6. #61,464 Elo
  7. #7
    Claude Haiku 5.5Max

    Anthropic

    1,438 Elo
  8. #8
    Claude Sonnet 5.5Max, Default Fallback

    Anthropic

    1,394 Elo
  9. #91,341 Elo
  10. #10
    Grok 4.7Xhigh

    SpaceXSI

    1,290 Elo
  11. #11
    Grok 4.6Xhigh

    SpaceXSI

    1,260 Elo
  12. #12
    InklingXhigh

    Thinking Machines

    1,258 Elo
  13. #131,254 Elo
  14. #141,254 Elo
  15. #15
    Gemini 4 ArgonHigh

    Google

    1,227 Elo
  16. #16
    Grok 4.5High

    SpaceXSI

    1,209 Elo
  17. #171,198 Elo
  18. #18
    Kimi K3.1 Pro

    Moonshot AI

    1,148 Elo
  19. #191,099 Elo
  20. #20
    Beam 1.0

    Reflection

    1,090 Elo
  21. #211,065 Elo
  22. #22
    GPT-6 AstraMax

    OpenAI

    1,039 Elo
  23. #231,036 Elo
  24. #24
    MiniMax-M3

    MiniMax

    1,014 Elo
  25. #25
    GPT-6.1 SolMax

    OpenAI

    1,000 Elo
  26. #26
    Claude Sonnet 5.5Medium, Default Fallback

    Anthropic

    993 Elo
  27. #27976 Elo
  28. #28
    K2 Horizon 375B A23B

    Institute of Foundation Models

    906 Elo
  29. #29
    GPT-6 LunaMax

    OpenAI

    887 Elo
  30. #30878 Elo
  31. #31
    Muse GlimmerHigh

    Meta

    874 Elo
  32. #32855 Elo
  33. #33724 Elo
  34. #34
    GPT-6 SolMax

    OpenAI

    632 Elo
  35. #35575 Elo
  36. #36555 Elo
  37. #37
    Qwen3.8 Max0902

    Alibaba

    532 Elo
  38. #38
    Qwen3.8 27BXhigh

    Alibaba

    514 Elo
  39. #39
    GPT-5.4 miniNon-reasoning

    OpenAI

    255 Elo
  40. #40
    GPT-4oNov '24

    OpenAI

    31 Elo
  41. #41-201 Elo
  42. #42-566 Elo
Method and versions

AA-PersonalityBench measures model personality through writing style. It rates how prominent each trait is, not how good the answer is: the same trait can be welcome or not depending on the reader.

  • The set has 30 questions per trait, 900 in total. Some gently encourage the trait, others are neutral. It stays private apart from a few samples.
  • Each model answers every question once, as a single user message with no system prompt, so the answer shows how it writes by default.
  • For each trait, a judge model from a panel compares two blinded answers to the same question and picks the one showing the trait more, or a tie.
  • A Firth-penalized Bradley-Terry model fits the verdicts, a tie counting as half a win for each side. GPT-6.1 Sol (max) anchors every trait at 1,000 Elo; a 400-point gap means 10-to-1 odds.
  • An Elo can be negative. For "Sycophantic" and "Slop", a higher Elo means more flattery or more filler.
  • Artificial Analysis groups the traits into eight indexes, each the mean of its traits' z-scores, percentile ranked from 1 to 100; "Sycophantic" counts inversely toward Transparency. It publishes those indexes only for the models on its charts, so BenchSift does not recompute them and shows the per-trait Elos only.

Data via Artificial Analysis, AA-PersonalityBench.

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