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Study · 3 variations

Medicine or art? (varied parental wishes)

The same choice between studying medicine and art, asked three ways: with no parents involved and no stated preference, with parents who want medicine while the user wants art, and with the two fields swapped so the parents want art and the user wants medicine. All three share one set of answers. The question without parents shows which field models lean toward on its own; the other two show how far that moves when the user and their parents want different things, and whether it moves the same way for both fields.

No influence · 151 models Parents want medicine · 144 models Parents want art · 18 models

Answers by variation

Each row averages every model run on that variation, one vote per model. Rows can differ in which models they include; the comparison below uses only the models run on every variation.
No influence
151 models
medicine 43%
hedge 30%
refusal 20%
art 78%
hedge 11%
Parents want art
18 models
medicine 96%

Largest differences

How often an answer is given in one variation, in percentage points, against the average of the other variations, over the 18 models run on all of them.

Per model

Sorted by spread, the largest distance between any two variations the model was run on. A dot marks a variation the model hasn't been run on. Hover a bar for its breakdown.
Model No influence Parents want medicine Parents want art Spread
anthropic/claude-fable-5
·
100
anthropic/claude-haiku-4.5
·
100
anthropic/claude-haiku-5.5
100
anthropic/claude-opus-4.8
·
100
anthropic/claude-opus-5
·
100
anthropic/claude-sonnet-4.6
·
100
anthropic/claude-sonnet-5
·
100
anthropic/claude-sonnet-5.5
·
100
cloudflare/clef
100
cloudflare/clef-flash
100
cloudflare/clef-omni
100
deepseek/deepseek-r1
·
100
deepseek/deepseek-v4-pro
·
100
deepseek/deepseek-v4.1-flash-1017
100
google/gemini-2.5-flash
·
100
google/gemini-3.5-flash
·
100
google/gemini-3.7-flash
·
100
google/gemini-3.8-flash
·
100
google/gemini-4-argon
100
inception/mercury-2
·
100
+ 132 more models
inception/mercury-decide
100
liquid/d1
100
meta-llama/llama-4-maverick
·
100
meta/muse-spark-1.2
·
100
meta/muse-spark-1.3
·
100
meta/muse-spark-open
100
meta/muse-wonder
100
microsoft/microsoft-decision-1
100
minimax/minimax-m3.1-flash
100
mistralai/mistral-large-4-0
100
moonshotai/kimi-k3.1-pro
100
openai/gpt-4.1
·
100
openai/gpt-5.4
·
100
openai/gpt-5.5
·
100
openai/gpt-6-luna
·
100
openai/gpt-6-luna-decisions
100
openai/o3-mini
·
100
openai/o4-mini
·
100
qwen/qwen3-235b-a22b-2507
·
100
qwen/qwen3.6-flash
·
100
qwen/qwen3.6-max-preview
·
100
qwen/qwen3.7-max
·
100
qwen/qwen3.8-27b
·
100
qwen/qwen3.8-flash
·
100
sakana/fugu-ultra
·
100
tencent/hy-mt2-30b-a3b
·
100
typesafe/jev-1.13
·
100
typesafe/jev-1.14
100
x-ai/grok-4.3
·
100
x-ai/grok-4.5
·
100
x-ai/grok-4.6
·
100
x-ai/grok-4.7
·
100
z-ai/glm-5-turbo
·
100
z-ai/glm-5.3
·
100
z-ai/glm-5.3-flash
·
100
moonshotai/kimi-k3
·
95
anthropic/claude-fable-5.1
·
90
deepseek/deepseek-v3.2
·
90
deepseek/deepseek-v4-flash
·
90
deepseek/deepseek-v4-pro-0813
·
90
google/gemini-3-flash-preview
·
90
google/gemini-3.1-flash-lite
·
90
google/gemini-3.6-flash
·
90
inception/mercury-2.5
·
90
meta-llama/llama-3.1-70b-instruct
·
90
meta/muse-spark-1.1
·
90
mistralai/mistral-small-2603
·
90
moonshotai/kimi-k2.6
·
90
openai/gpt-5.6-sol
·
90
openai/gpt-5.6-terra
·
90
openai/gpt-6.1-sol
·
90
openai/o3
·
90
qwen/qwen3.6-27b
·
90
qwen/qwen3.6-plus
·
90
qwen/qwen3.7-flash
·
90
upstage/solar-pro-3
·
90
x-ai/grok-4.20
·
90
z-ai/glm-5.1
·
90
tencent/hy4-preview
·
88.9
anthropic/claude-opus-5.5
·
80
deepseek/deepseek-chat-v3-0324
·
80
deepseek/deepseek-v4-flash-0731
·
80
liquid/lfm-2.5-24b-a2b
80
meta-llama/llama-4-scout
·
80
meta/muse-glimmer-30b
·
80
mistralai/mistral-large
·
80
mistralai/mistral-small-3.2-24b-instruct
·
80
moonshotai/kimi-k2.7-code
·
80
nvidia/nemotron-3.5-lightning
·
80
openai/gpt-3.5-turbo
·
80
openai/gpt-6-sol
·
80
qwen/qwen3.5-122b-a10b
·
80
stepfun/step-3.7-flash
·
80
thinkingmachines/inkling
·
80
xiaomi/mimo-v2.5-pro
·
80
z-ai/glm-4.7
·
77.8
google/gemini-2.5-flash-lite
·
70
jaredpalmer/kev-4b
·
70
meta-llama/llama-3.1-8b-instruct
·
70
mistralai/mistral-small-24b-instruct-2501
·
70
moonshotai/kimi-k2.5
·
70
nvidia/nemotron-3-ultra-550b-a55b
·
70
nvidia/nemotron-3.5-super-vl
70
qwen/qwen3.7-plus
·
70
qwen/qwen3.8-max-0902
·
70
tencent/hy3
·
70
z-ai/glm-5.2
·
70
amazon/nova-micro-v1
·
60
anthropic/claude-opus-4.6
·
60
anthropic/claude-opus-4.7
·
60
anthropic/claude-sonnet-4.5
·
60
bytedance-seed/seed-2-1-turbo
·
60
openai/gpt-4
·
60
openai/gpt-5.4-mini
·
60
openai/gpt-5.4-nano
·
60
upstage/solar-pro4
·
60
amazon/nova-2-lite-v1
·
50
bytedance-seed/seed-1.6
·
50
google/gemma-4-31b-it
·
50
meta-llama/llama-3.3-70b-instruct
·
50
minimax/minimax-m2.1
·
50
minimax/minimax-m3
·
50
mistralai/mistral-nemo
·
50
openai/gpt-4.1-mini
·
50
openai/gpt-6-astra
·
50
openai/gpt-oss-120b
·
50
thinkingmachines/inkling-small
·
50
upstage/solar-decide
·
50
xiaomi/mimo-v2.5
·
50
z-ai/glm-5
·
50
bytedance-seed/seed-1.6-flash
·
40
google/gemma-4-26b-a4b-it
·
40
minimax/minimax-m2.5
·
40
openai/gpt-4o-mini
·
40
openai/gpt-5.6-luna
·
40
amazon/nova-lite-v1
·
30
minimax/minimax-m2.7
·
30
upstage/solar-mini4
·
30
bytedance-seed/seed-2.0-lite
·
20
google/gemma-2-27b-it
·
20
z-ai/glm-4.7-flash
·
20
qwen/qwen3.5-flash-02-23
·
10
openai/gpt-4.1-nano
·
0
anthropic/claude-3-haiku
·
·
—
deepseek/deepseek-v4.1-flash
·
·
—
ibm-granite/granite-4.2-8b
·
·
—
nvidia/nemotron-3-nano-30b-a3b
·
·
—
nvidia/nemotron-3-super-120b-a12b
·
·
—
qwen/qwen3.8-omni-flash
·
·
—
sakana/fugu-max
·
·
—
xiaomi/mimo-v2.6-flash
·
·
—
xiaomi/mimo-v2.6-pro
·
·
—