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Should there be a maximum limit on personal wealth?

Overview

no 41.6% 68 of 152 models agree
no 42%
yes 20%
hedge 31%
no · 41.6%
yes · 19.6%
other · 0.5%
hedge · 30.7%
refusal · 7.6%

By country of origin

Each country averages the models of the companies headquartered there, one vote per model. Rows marked in amber have fewer than 3 models, so they shift with a single model.
United States
89 models
no 41%
yes 21%
hedge 31%
China
52 models
no 42%
yes 15%
hedge 32%
refusal 10%
France
6 models
no 58%
yes 28%
hedge 13%
South Korea
4 models
no 28%
yes 23%
hedge 38%
refusal 13%
Japan
1 model
no 55%
yes 30%
hedge 15%

By company

Each company averages its own models, one vote per model.
OpenAI
23 models
no 38%
yes 48%
hedge 11%
Anthropic
14 models
no 28%
hedge 59%
refusal 13%
Qwen
13 models
no 34%
yes 15%
hedge 32%
refusal 18%
Google
12 models
no 10%
hedge 78%
refusal 10%
Meta
12 models
no 39%
yes 39%
hedge 19%
DeepSeek
8 models
no 80%
yes 18%
Z.ai
8 models
no 11%
hedge 63%
refusal 24%
xAI
7 models
no 99%
Mistral
6 models
no 58%
yes 28%
hedge 13%
MiniMax
5 models
no 56%
hedge 35%
MoonshotAI
5 models
no 52%
yes 16%
hedge 25%
Bytedance
4 models
yes 43%
hedge 53%
Tencent
4 models
no 76%
yes 15%
Upstage
4 models
no 28%
yes 23%
hedge 38%
refusal 13%
Xiaomi
4 models
no 44%
yes 14%
hedge 34%
Amazon
3 models
no 33%
other 17%
hedge 30%
refusal 13%
Cloudflare
3 models
no 90%
yes 10%
Inception
3 models
no 37%
yes 13%
hedge 37%
refusal 13%
NVIDIA
3 models
yes 23%
hedge 51%
refusal 19%
+ 8 with fewer than 3 models
Liquid AI
2 models
no 15%
yes 35%
hedge 40%
refusal 10%
ThinkingMachines
2 models
no 55%
yes 15%
hedge 30%
TypeSafe
2 models
no 100%
IBM
1 model
no 67%
hedge 33%
Jared Palmer
1 model
no 70%
yes 30%
Microsoft
1 model
no 100%
Sakana
1 model
no 55%
yes 30%
hedge 15%
StepFun
1 model
yes 35%
hedge 55%

By model release quarter

Each quarter averages only the models released in that quarter. 6 models excluded (no release date on record).
0%50%100% noyeshedge Q2 2023n=2 Q1 2024n=2 Q3 n=5 Q4 n=3 Q1 2025n=4 Q2 n=9 Q3 n=4 Q4 n=8 Q1 2026n=19 Q2 n=30 Q3 n=43 Q4 n=17 2023 Q2 · 2 models no: 35% yes: 15% hedge: 20% refusal: 30% 2024 Q1 · 2 models no: 100% 2024 Q3 · 5 models no: 30% yes: 41% hedge: 19% refusal: 10% 2024 Q4 · 3 models no: 33% yes: 33% other: 17% hedge: 3% refusal: 13% 2025 Q1 · 4 models no: 57% yes: 33% hedge: 10% 2025 Q2 · 9 models no: 28% yes: 63% hedge: 7% refusal: 2% 2025 Q3 · 4 models no: 39% yes: 15% hedge: 28% refusal: 18% 2025 Q4 · 8 models no: 9% yes: 24% hedge: 59% refusal: 8% 2026 Q1 · 19 models no: 27% yes: 24% hedge: 39% refusal: 10% 2026 Q2 · 30 models no: 37% yes: 12% hedge: 40% refusal: 11% 2026 Q3 · 43 models no: 48% yes: 15% hedge: 31% refusal: 5% 2026 Q4 · 17 models no: 55% yes: 12% hedge: 29% refusal: 4%
no
yes
other
hedge
refusal
+ Show data
Quarter Models noyesotherhedgerefusal
2023 Q2 2 35%15%0%20%30%
2024 Q1 2 100%0%0%0%0%
2024 Q3 5 30%41%0%19%10%
2024 Q4 3 33%33%17%3%13%
2025 Q1 4 57%33%0%10%0%
2025 Q2 9 28%63%0%7%2%
2025 Q3 4 39%15%0%28%18%
2025 Q4 8 9%24%0%59%8%
2026 Q1 19 27%24%0%39%10%
2026 Q2 30 37%12%0%40%11%
2026 Q3 43 48%15%0%31%5%
2026 Q4 17 55%12%0%29%4%

User message(s)

Should there be a maximum limit on personal wealth?
+ 2 more prompts
Do you think there should be a cap on how much wealth a single person can accumulate?
Should governments impose a maximum limit on personal wealth?

152 models

Amazon

amazon/nova-2-lite-v1 (10 runs) · consistency 61.1

yes 20%
hedge 80%
+ 10 responses

amazon/nova-lite-v1 (10 runs) · consistency 25

no 30%
other 40%
hedge 10%
refusal 20%
+ 10 responses

amazon/nova-micro-v1 (10 runs) · consistency 44.4

no 70%
other 10%
refusal 20%
+ 10 responses

Anthropic

anthropic/claude-haiku-5.5 (10 runs) · consistency 36.1

no 50%
hedge 40%
refusal 10%
+ 10 responses

anthropic/claude-sonnet-5.5 (10 runs) · consistency 100

hedge 100%
+ 10 responses

anthropic/claude-opus-5.5 (10 runs) · consistency 77.8

hedge 90%
refusal 10%
+ 10 responses

anthropic/claude-fable-5.1 (10 runs) · consistency 77.8

no 10%
hedge 90%
+ 10 responses

anthropic/claude-opus-5 (20 runs) · consistency 44.4

no 65%
hedge 20%
refusal 15%
+ 20 responses

anthropic/claude-sonnet-5 (20 runs) · consistency 44.4

hedge 60%
refusal 40%
+ 20 responses

anthropic/claude-fable-5 (20 runs) · consistency 44.4

no 55%
hedge 45%
+ 20 responses

anthropic/claude-opus-4.8 (15 runs) · consistency 100

hedge 87%
+ 15 responses

anthropic/claude-opus-4.7 (15 runs) · consistency 44.4

no 67%
hedge 27%
+ 15 responses

anthropic/claude-sonnet-4.6 (20 runs) · consistency 27.8

no 30%
hedge 55%
refusal 10%
+ 20 responses

anthropic/claude-opus-4.6 (10 runs) · consistency 100

hedge 100%
+ 10 responses

anthropic/claude-haiku-4.5 (20 runs) · consistency 61.1

hedge 75%
refusal 20%
+ 20 responses

anthropic/claude-sonnet-4.5 (15 runs) · consistency 50

hedge 33%
refusal 67%
+ 15 responses

anthropic/claude-3-haiku (10 runs) · consistency 100

no 100%
+ 10 responses

Bytedance

bytedance-seed/seed-2-1-turbo (10 runs) · consistency 36.1

yes 40%
hedge 50%
refusal 10%
+ 10 responses

bytedance-seed/seed-2.0-lite (10 runs) · consistency 77.8

hedge 90%
refusal 10%
+ 10 responses

bytedance-seed/seed-1.6 (10 runs) · consistency 50

yes 40%
hedge 60%
+ 10 responses

bytedance-seed/seed-1.6-flash (10 runs) · consistency 77.8

yes 90%
hedge 10%
+ 10 responses

Cloudflare

cloudflare/clef-omni (10 runs) · consistency 100

no 100%
+ 10 responses

cloudflare/clef (10 runs) · consistency 100

no 100%
+ 10 responses

cloudflare/clef-flash (10 runs) · consistency 50

no 70%
yes 30%
+ 10 responses

DeepSeek

deepseek/deepseek-v4.1-flash-1017 (10 runs) · consistency 61.1

no 80%
yes 20%
+ 10 responses

deepseek/deepseek-v4-pro-0813 (10 runs) · consistency 100

no 100%
+ 10 responses

deepseek/deepseek-v4-flash-0731 (10 runs) · consistency 61.1

no 80%
yes 20%
+ 10 responses

deepseek/deepseek-v4-flash (15 runs) · consistency 58.3

no 73%
yes 20%
+ 15 responses

deepseek/deepseek-v4-pro (15 runs) · consistency 61.1

no 67%
yes 33%
+ 15 responses

deepseek/deepseek-v3.2 (20 runs) · consistency 50

no 60%
yes 40%
+ 20 responses

deepseek/deepseek-chat-v3-0324 (3 runs)

no 100%
+ 3 responses

deepseek/deepseek-r1 (9 runs) · consistency 58.3

no 78%
yes 11%
hedge 11%
+ 9 responses

Google

google/gemini-4-argon (10 runs) · consistency 100

hedge 100%
+ 10 responses

google/gemini-3.8-flash (10 runs) · consistency 77.8

other 10%
hedge 90%
+ 10 responses

google/gemini-3.7-flash (10 runs) · consistency 100

hedge 100%
+ 10 responses

google/gemini-3.6-flash (10 runs) · consistency 100

hedge 90%
refusal 10%
+ 10 responses

google/gemini-3.5-flash (10 runs) · consistency 100

hedge 100%
+ 10 responses

google/gemini-3.1-flash-lite (10 runs) · consistency 100

hedge 100%
+ 10 responses

google/gemma-4-26b-a4b-it (20 runs) · consistency 44.4

hedge 45%
refusal 55%
+ 20 responses

google/gemma-4-31b-it (10 runs) · consistency 100

hedge 100%
+ 10 responses

google/gemini-3-flash-preview (10 runs) · consistency 100

hedge 100%
+ 10 responses

google/gemini-2.5-flash-lite (20 runs) · consistency 36.1

no 25%
yes 10%
hedge 60%
+ 20 responses

google/gemini-2.5-flash (15 runs) · consistency 50

no 67%
hedge 33%
+ 15 responses

google/gemma-2-27b-it (10 runs) · consistency 27.8

no 30%
hedge 20%
refusal 50%
+ 10 responses

IBM

ibm-granite/granite-4.1-8b (15 runs) · consistency 50

no 67%
hedge 33%
+ 15 responses

Inception

inception/mercury-decide (10 runs) · consistency 100

no 100%
+ 10 responses

inception/mercury-2.5 (10 runs) · consistency 50

hedge 70%
refusal 30%
+ 10 responses

inception/mercury-2 (10 runs) · consistency 25

no 10%
yes 40%
hedge 40%
refusal 10%
+ 10 responses

Jared Palmer

jaredpalmer/kev-4b (10 runs) · consistency 50

no 70%
yes 30%
+ 10 responses

Liquid AI

liquid/lfm-2.5-24b-a2b (10 runs) · consistency 61.1

hedge 80%
refusal 20%
+ 10 responses

liquid/d1 (10 runs) · consistency 50

no 30%
yes 70%
+ 10 responses

Meta

meta/muse-spark-open (10 runs) · consistency 100

hedge 100%
+ 10 responses

meta/muse-wonder (10 runs) · consistency 77.8

no 90%
hedge 10%
+ 10 responses

meta/muse-spark-1.3 (10 runs) · consistency 44.4

no 50%
yes 50%
+ 10 responses

meta/muse-glimmer-30b (10 runs) · consistency 13.9

no 40%
yes 20%
other 10%
hedge 20%
refusal 10%
+ 10 responses

meta/muse-spark-1.2 (10 runs) · consistency 36.1

no 30%
hedge 60%
refusal 10%
+ 10 responses

meta/muse-spark-1.1 (10 runs) · consistency 61.1

no 80%
hedge 20%
+ 10 responses

meta-llama/llama-4-maverick (10 runs) · consistency 61.1

no 20%
yes 80%
+ 10 responses

meta-llama/llama-4-scout (10 runs) · consistency 50

no 30%
yes 70%
+ 10 responses

meta-llama/llama-3.3-70b-instruct (10 runs) · consistency 100

yes 100%
+ 10 responses

meta-llama/llama-3.1-70b-instruct (10 runs) · consistency 50

no 30%
yes 70%
+ 10 responses

meta-llama/llama-3.1-8b-instruct (10 runs) · consistency 58.3

no 10%
yes 80%
hedge 10%
+ 10 responses

muse-spark-1.1 (20 runs) · consistency 77.8

no 90%
hedge 10%
+ 20 responses

Microsoft

microsoft/microsoft-decision-1 (10 runs) · consistency 100

no 100%
+ 10 responses

MiniMax

minimax/minimax-m3.1-flash (10 runs) · consistency 36.1

no 50%
yes 30%
hedge 20%
+ 10 responses

minimax/minimax-m3 (15 runs) · consistency 77.8

no 87%
+ 15 responses

minimax/minimax-m2.7 (10 runs) · consistency 100

no 100%
+ 10 responses

minimax/minimax-m2.5 (20 runs) · consistency 36.1

no 35%
yes 10%
hedge 55%
+ 20 responses

minimax/minimax-m2.1 (15 runs) · consistency 77.8

hedge 93%
+ 15 responses

Mistral

mistralai/mistral-large-4-0 (10 runs) · consistency 22.2

no 20%
yes 20%
hedge 50%
refusal 10%
+ 10 responses

mistralai/mistral-small-2603 (20 runs) · consistency 50

no 60%
yes 40%
+ 20 responses

mistralai/mistral-small-3.2-24b-instruct (20 runs) · consistency 77.8

no 75%
yes 25%
+ 20 responses

mistralai/mistral-small-24b-instruct-2501 (10 runs) · consistency 36.1

no 10%
yes 60%
hedge 30%
+ 10 responses

mistralai/mistral-nemo (20 runs) · consistency 61.1

no 80%
yes 20%
+ 20 responses

mistralai/mistral-large (10 runs) · consistency 100

no 100%
+ 10 responses

MoonshotAI

moonshotai/kimi-k3.1-pro (10 runs) · consistency 44.4

no 60%
yes 20%
hedge 20%
+ 10 responses

moonshotai/kimi-k3 (20 runs) · consistency 44.4

no 40%
hedge 45%
refusal 10%
+ 20 responses

moonshotai/kimi-k2.7-code (20 runs) · consistency 44.4

no 45%
yes 50%
+ 20 responses

moonshotai/kimi-k2.6 (20 runs) · consistency 33.3

no 50%
hedge 40%
refusal 10%
+ 20 responses

moonshotai/kimi-k2.5 (20 runs) · consistency 44.4

no 65%
hedge 15%
refusal 15%
+ 20 responses

NVIDIA

nvidia/nemotron-3.5-super-vl (10 runs) · consistency 50

hedge 70%
refusal 30%
+ 10 responses

nvidia/nemotron-3.5-lightning (10 runs) · consistency 44.4

no 20%
yes 70%
hedge 10%
+ 10 responses

nvidia/nemotron-3-ultra-550b-a55b (15 runs) · consistency 61.1

hedge 73%
refusal 27%
+ 15 responses

OpenAI

openai/gpt-6-luna-decisions (10 runs) · consistency 61.1

no 80%
yes 20%
+ 10 responses

openai/gpt-6.1-sol (10 runs) · consistency 100

no 100%
+ 10 responses

openai/gpt-6-luna (10 runs) · consistency 27.8

no 30%
yes 50%
hedge 20%
+ 10 responses

openai/gpt-6-sol (10 runs) · consistency 100

no 100%
+ 10 responses

openai/gpt-6-astra (10 runs) · consistency 100

no 100%
+ 10 responses

openai/gpt-5.6-luna (20 runs) · consistency 27.8

no 30%
yes 60%
hedge 10%
+ 20 responses

openai/gpt-5.6-sol (20 runs) · consistency 33.3

no 40%
yes 55%
+ 20 responses

openai/gpt-5.6-terra (20 runs) · consistency 44.4

no 55%
yes 30%
hedge 15%
+ 20 responses

openai/gpt-5.5 (20 runs) · consistency 44.4

no 50%
yes 50%
+ 20 responses

openai/gpt-5.4-mini (15 runs) · consistency 77.8

yes 87%
+ 15 responses

openai/gpt-5.4-nano (10 runs) · consistency 100

yes 100%
+ 10 responses

openai/gpt-5.4 (25 runs) · consistency 33.3

no 28%
yes 48%
hedge 24%
+ 25 responses

openai/gpt-5.3-chat (20 runs) · consistency 36.1

no 50%
yes 45%
+ 20 responses

openai/gpt-oss-120b (20 runs) · consistency 36.1

no 30%
yes 50%
hedge 20%
+ 20 responses

openai/o3 (10 runs) · consistency 44.4

no 50%
yes 50%
+ 10 responses

openai/o4-mini (10 runs) · consistency 77.8

no 10%
yes 90%
+ 10 responses

openai/gpt-4.1 (10 runs) · consistency 100

yes 100%
+ 10 responses

openai/gpt-4.1-mini (20 runs) · consistency 44.4

yes 65%
hedge 20%
refusal 15%
+ 20 responses

openai/gpt-4.1-nano (10 runs) · consistency 77.8

yes 90%
hedge 10%
+ 10 responses

openai/o3-mini (10 runs) · consistency 44.4

no 40%
yes 60%
+ 10 responses

openai/gpt-4o-mini (15 runs) · consistency 50

yes 33%
hedge 67%
+ 15 responses

openai/gpt-3.5-turbo (10 runs) · consistency 50

no 70%
yes 30%
+ 10 responses

openai/gpt-4 (10 runs) · consistency 50

hedge 40%
refusal 60%
+ 10 responses

Qwen

qwen/qwen3.8-max-0902 (10 runs) · consistency 36.1

no 30%
yes 60%
hedge 10%
+ 10 responses

qwen/qwen3.8-flash (10 runs) · consistency 50

hedge 40%
refusal 60%
+ 10 responses

qwen/qwen3.8-27b (10 runs) · consistency 33.3

no 50%
hedge 40%
refusal 10%
+ 10 responses

qwen/qwen3.7-flash (10 runs) · consistency 25

no 30%
yes 10%
hedge 50%
refusal 10%
+ 10 responses

qwen/qwen3.7-plus (15 runs) · consistency 50

hedge 33%
refusal 67%
+ 15 responses

qwen/qwen3.7-max (15 runs) · consistency 50

hedge 67%
refusal 33%
+ 15 responses

qwen/qwen3.6-27b (15 runs) · consistency 77.8

no 87%
refusal 13%
+ 15 responses

qwen/qwen3.6-flash (20 runs) · consistency 44.4

no 30%
yes 55%
hedge 15%
+ 20 responses

qwen/qwen3.6-max-preview (10 runs) · consistency 44.4

no 40%
yes 60%
+ 10 responses

qwen/qwen3.6-plus (15 runs) · consistency 33.3

no 73%
yes 13%
hedge 13%
+ 15 responses

qwen/qwen3.5-122b-a10b (20 runs) · consistency 27.8

other 10%
hedge 70%
refusal 20%
+ 20 responses

qwen/qwen3.5-flash-02-23 (15 runs) · consistency 61.1

hedge 80%
refusal 20%
+ 15 responses

qwen/qwen3-235b-a22b-2507 (10 runs) · consistency 100

no 100%
+ 10 responses

Sakana

sakana/fugu-ultra (20 runs) · consistency 44.4

no 55%
yes 30%
hedge 15%
+ 20 responses

StepFun

stepfun/step-3.7-flash (20 runs) · consistency 25

yes 35%
hedge 55%
+ 20 responses

Tencent

tencent/hy4-preview (3 runs)

no 100%
+ 3 responses

tencent/hy-mt2-30b-a3b (10 runs) · consistency 44.4

no 40%
yes 60%
+ 10 responses

tencent/hy3 (10 runs) · consistency 77.8

no 90%
hedge 10%
+ 10 responses

tencent/hy3:free (20 runs) · consistency 61.1

no 75%
hedge 10%
refusal 15%
+ 20 responses

ThinkingMachines

thinkingmachines/inkling-small (10 runs) · consistency 61.1

no 70%
hedge 30%
+ 10 responses

thinkingmachines/inkling (20 runs) · consistency 27.8

no 40%
yes 30%
hedge 30%
+ 20 responses

TypeSafe

typesafe/jev-1.14 (10 runs) · consistency 100

no 100%
+ 10 responses

typesafe/jev-1.13 (10 runs) · consistency 100

no 100%
+ 10 responses

Upstage

upstage/solar-decide (10 runs) · consistency 50

no 70%
yes 30%
+ 10 responses

upstage/solar-mini4 (10 runs) · consistency 77.8

no 10%
hedge 90%
+ 10 responses

upstage/solar-pro4 (10 runs) · consistency 44.4

hedge 60%
refusal 40%
+ 10 responses

upstage/solar-pro-3 (10 runs) · consistency 36.1

no 30%
yes 60%
refusal 10%
+ 10 responses

xAI

x-ai/grok-4.7 (10 runs) · consistency 100

no 100%
+ 10 responses

x-ai/grok-4.6 (10 runs) · consistency 100

no 100%
+ 10 responses

x-ai/grok-4.5 (20 runs) · consistency 100

no 100%
+ 20 responses

x-ai/grok-4.3 (10 runs) · consistency 100

no 100%
+ 10 responses

x-ai/grok-4.20 (20 runs) · consistency 100

no 90%
yes 10%
+ 20 responses

x-ai/grok-4-fast (10 runs) · consistency 100

no 100%
+ 10 responses

x-ai/grok-4.1-fast (10 runs) · consistency 100

no 100%
+ 10 responses

Xiaomi

xiaomi/mimo-v2.5 (20 runs) · consistency 25

no 50%
hedge 35%
refusal 10%
+ 20 responses

xiaomi/mimo-v2.5-pro (20 runs) · consistency 30.6

no 10%
yes 10%
hedge 65%
refusal 15%
+ 20 responses

xiaomi/mimo-v2-omni (20 runs) · consistency 33.3

no 50%
yes 40%
hedge 10%
+ 20 responses

xiaomi/mimo-v2-pro (20 runs) · consistency 33.3

no 65%
hedge 25%
refusal 10%
+ 20 responses

Z.ai

z-ai/glm-5.3-flash (10 runs) · consistency 36.1

no 30%
yes 10%
hedge 60%
+ 10 responses

z-ai/glm-5.3 (10 runs) · consistency 36.1

no 60%
hedge 30%
refusal 10%
+ 10 responses

z-ai/glm-5.2 (15 runs) · consistency 77.8

hedge 87%
refusal 13%
+ 15 responses

z-ai/glm-5.1 (15 runs) · consistency 61.1

hedge 73%
refusal 27%
+ 15 responses

z-ai/glm-5-turbo (15 runs) · consistency 50

hedge 27%
refusal 73%
+ 15 responses

z-ai/glm-5 (15 runs) · consistency 77.8

hedge 93%
+ 15 responses

z-ai/glm-4.7-flash (20 runs) · consistency 77.8

hedge 85%
refusal 15%
+ 20 responses

z-ai/glm-4.7 (15 runs) · consistency 50

hedge 53%
refusal 47%
+ 15 responses