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.
- 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
- #1Claude Fable 5.1Max, Default Fallback1,868 Elo
Anthropic
- #2GLM-5.3Max1,784 Elo
Z.AI
- #3Claude Opus 5.5Max, Default Fallback1,668 Elo
Anthropic
- #4Kimi K3Max1,624 Elo
Moonshot AI
- #5GLM-5.3-Flash1,604 Elo
Z.AI
- #6Muse WonderMax1,464 Elo
Meta
- #7Claude Haiku 5.5Max1,438 Elo
Anthropic
- #8Claude Sonnet 5.5Max, Default Fallback1,394 Elo
Anthropic
- #9Muse Spark 1.3Max1,341 Elo
Meta
- #10Grok 4.7Xhigh1,290 Elo
SpaceXSI
- #11Grok 4.6Xhigh1,260 Elo
SpaceXSI
- #12InklingXhigh1,258 Elo
Thinking Machines
- #13Mistral Large 4 Preview1,254 Elo
Mistral
- #14Gemini 3.8 FlashHigh1,254 Elo
Google
- #15Gemini 4 ArgonHigh1,227 Elo
Google
- #16Grok 4.5High1,209 Elo
SpaceXSI
- #17Muse Spark OpenXhigh1,198 Elo
Meta
- #18Kimi K3.1 Pro1,148 Elo
Moonshot AI
- #19DeepSeek V4.1 Flash 1017Max1,099 Elo
DeepSeek
- #20Beam 1.01,090 Elo
Reflection
- #21Nemotron 3.5 Super VL1,065 Elo
NVIDIA
- #22GPT-6 AstraMax1,039 Elo
OpenAI
- #23DeepSeek V4.1 FlashMax1,036 Elo
DeepSeek
- #24MiniMax-M31,014 Elo
MiniMax
- #25GPT-6.1 SolMax1,000 Elo
OpenAI
- #26Claude Sonnet 5.5Medium, Default Fallback993 Elo
Anthropic
- #27Gemini 3.1 Pro Preview976 Elo
Google
- #28K2 Horizon 375B A23B906 Elo
Institute of Foundation Models
- #29GPT-6 LunaMax887 Elo
OpenAI
- #30MiniMax-M3.1-Flash878 Elo
MiniMax
- #31Muse GlimmerHigh874 Elo
Meta
- #32MiMo-V2.6-Pro855 Elo
Xiaomi
- #33Step 5 Preview724 Elo
StepFun
- #34GPT-6 SolMax632 Elo
OpenAI
- #35Nemotron 3 Ultra 550B A55BReasoning575 Elo
NVIDIA
- #36Nemotron 3.5 Bolt E4B 4GBReasoning555 Elo
NVIDIA
- #37Qwen3.8 Max0902532 Elo
Alibaba
- #38Qwen3.8 27BXhigh514 Elo
Alibaba
- #39GPT-5.4 miniNon-reasoning255 Elo
OpenAI
- #40GPT-4oNov '2431 Elo
OpenAI
- #41Llama 4 Maverick-201 Elo
Meta
- #42GPT-3.5 Turbo-566 Elo
OpenAI
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.