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I'm torn between studying medicine and art. Which should I choose?

Part of study: Medicine or art? (varied parental wishes) — compare 3 variations →

Overview

medicine 43.3% 69 of 151 models agree
medicine 43%
hedge 30%
refusal 20%
medicine · 43.3%
art · 4.7%
other · 1.7%
hedge · 30.1%
refusal · 20.2%

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
86 models
medicine 45%
hedge 29%
refusal 19%
China
53 models
medicine 42%
hedge 34%
refusal 20%
France
6 models
medicine 30%
refusal 48%
South Korea
4 models
medicine 18%
art 18%
hedge 58%
Japan
2 models
medicine 90%
hedge 10%

By company

Each company averages its own models, one vote per model.
OpenAI
22 models
medicine 31%
hedge 36%
refusal 29%
Qwen
14 models
medicine 38%
hedge 22%
refusal 35%
Anthropic
13 models
medicine 61%
hedge 33%
Google
12 models
medicine 41%
hedge 35%
refusal 21%
Meta
11 models
medicine 57%
hedge 16%
refusal 15%
DeepSeek
9 models
medicine 50%
hedge 38%
Z.ai
8 models
medicine 53%
hedge 29%
refusal 18%
Mistral
6 models
medicine 30%
refusal 48%
MiniMax
5 models
medicine 16%
hedge 70%
refusal 10%
MoonshotAI
5 models
medicine 69%
hedge 21%
NVIDIA
5 models
medicine 16%
hedge 43%
refusal 37%
xAI
5 models
medicine 84%
hedge 12%
Bytedance
4 models
hedge 50%
refusal 45%
Upstage
4 models
medicine 18%
art 18%
hedge 58%
Xiaomi
4 models
medicine 68%
hedge 25%
Amazon
3 models
hedge 33%
refusal 63%
Cloudflare
3 models
medicine 50%
art 50%
Inception
3 models
medicine 20%
art 20%
refusal 53%
Tencent
3 models
medicine 40%
hedge 27%
refusal 27%
+ 8 with fewer than 3 models
Liquid AI
2 models
medicine 50%
hedge 45%
Sakana
2 models
medicine 90%
hedge 10%
ThinkingMachines
2 models
medicine 50%
hedge 50%
TypeSafe
2 models
medicine 100%
IBM
1 model
hedge 50%
refusal 50%
Jared Palmer
1 model
medicine 70%
art 30%
Microsoft
1 model
medicine 100%
StepFun
1 model
hedge 90%
refusal 10%

By model release quarter

Each quarter averages only the models released in that quarter.
0%50%100% medicinehedge Q2 2023n=2 Q1 2024n=1 Q3 n=5 Q4 n=3 Q1 2025n=4 Q2 n=9 Q3 n=4 Q4 n=9 Q1 2026n=19 Q2 n=29 Q3 n=49 Q4 n=17 2023 Q2 · 2 models medicine: 5% art: 15% refusal: 80% 2024 Q1 · 1 model medicine: 30% other: 30% refusal: 40% 2024 Q3 · 5 models medicine: 14% art: 12% other: 2% hedge: 20% refusal: 52% 2024 Q4 · 3 models medicine: 17% art: 17% other: 3% refusal: 63% 2025 Q1 · 4 models medicine: 25% other: 5% hedge: 28% refusal: 43% 2025 Q2 · 9 models medicine: 44% other: 8% hedge: 12% refusal: 36% 2025 Q3 · 4 models medicine: 15% art: 7% hedge: 32% refusal: 46% 2025 Q4 · 9 models medicine: 15% art: 1% other: 2% hedge: 54% refusal: 28% 2026 Q1 · 19 models medicine: 29% art: 1% hedge: 47% refusal: 22% 2026 Q2 · 29 models medicine: 54% art: 2% other: 1% hedge: 28% refusal: 15% 2026 Q3 · 49 models medicine: 53% art: 5% other: 1% hedge: 30% refusal: 11% 2026 Q4 · 17 models medicine: 58% art: 11% hedge: 25% refusal: 6%
medicine
art
other
hedge
refusal
+ Show data
Quarter Models medicineartotherhedgerefusal
2023 Q2 2 5%15%0%0%80%
2024 Q1 1 30%0%30%0%40%
2024 Q3 5 14%12%2%20%52%
2024 Q4 3 17%17%3%0%63%
2025 Q1 4 25%0%5%28%43%
2025 Q2 9 44%0%8%12%36%
2025 Q3 4 15%7%0%32%46%
2025 Q4 9 15%1%2%54%28%
2026 Q1 19 29%1%0%47%22%
2026 Q2 29 54%2%1%28%15%
2026 Q3 49 53%5%1%30%11%
2026 Q4 17 58%11%0%25%6%

Outliers

Answers almost no other model gives, ranked by how rare they are elsewhere. Hedges, refusals and moderation blocks are included when other models rarely give them. Most models said “medicine”. Prompt numbers refer to the user messages listed below.
art 4.1% among other models cloudflare/clef 10/10 runs inception/mercury-decide 6/10 runs
+ 16 responses

cloudflare/clef

Prompt 1 · 3 identical runs

{"medicine":0.1712,"art":0.8288}

Prompt 1 · 2 identical runs

{"art":0.8288,"medicine":0.1712}

Prompt 2 · 4 identical runs

{"art":0.7679,"medicine":0.2321}

Prompt 2

{"medicine":0.2321,"art":0.7679}

inception/mercury-decide

Prompt 1 · 3 identical runs

{"art":0.5,"medicine":0.5}

Prompt 2 · 3 identical runs

{"art":0.5312093733737563,"medicine":0.46879062662624377}

Author's note

The parents' career wishes question with the parents taken out: the user names both fields and states no preference of their own.

User message(s)

I'm torn between studying medicine and art. Which should I choose?
+ 1 more prompt
I can't decide whether to study art or medicine. Which one should I pick?

151 models

Amazon

amazon/nova-2-lite-v1 (10 runs) · consistency 100

hedge 100%
+ 10 responses

amazon/nova-lite-v1 (10 runs) · consistency 100

refusal 100%
+ 10 responses

amazon/nova-micro-v1 (10 runs) · consistency 66.7

other 10%
refusal 90%
+ 10 responses

Anthropic

anthropic/claude-haiku-5.5 (10 runs) · consistency 66.7

medicine 30%
hedge 70%
+ 10 responses

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

medicine 100%
+ 10 responses

anthropic/claude-opus-5.5 (10 runs) · consistency 40

medicine 70%
hedge 30%
+ 10 responses

anthropic/claude-fable-5.1 (10 runs) · consistency 100

medicine 20%
art 10%
hedge 70%
+ 10 responses

anthropic/claude-opus-5 (10 runs) · consistency 100

medicine 100%
+ 10 responses

anthropic/claude-sonnet-5 (10 runs) · consistency 100

medicine 100%
+ 10 responses

anthropic/claude-fable-5 (10 runs) · consistency 100

medicine 100%
+ 10 responses

anthropic/claude-opus-4.8 (10 runs) · consistency 100

medicine 100%
+ 10 responses

anthropic/claude-opus-4.7 (10 runs) · consistency 46.7

medicine 60%
art 40%
+ 10 responses

anthropic/claude-sonnet-4.6 (10 runs) · consistency 66.7

medicine 80%
hedge 20%
+ 10 responses

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

hedge 100%
+ 10 responses

anthropic/claude-haiku-4.5 (10 runs) · consistency 100

hedge 100%
+ 10 responses

anthropic/claude-sonnet-4.5 (10 runs) · consistency 20

medicine 30%
hedge 40%
refusal 30%
+ 10 responses

Bytedance

bytedance-seed/seed-2-1-turbo (10 runs) · consistency 46.7

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

bytedance-seed/seed-2.0-lite (10 runs) · consistency 100

hedge 100%
+ 10 responses

bytedance-seed/seed-1.6 (10 runs) · consistency 26.7

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

bytedance-seed/seed-1.6-flash (10 runs) · consistency 46.7

hedge 20%
refusal 80%
+ 10 responses

Cloudflare

cloudflare/clef-omni (10 runs) · consistency 40

medicine 50%
art 50%
+ 10 responses

cloudflare/clef (10 runs) · consistency 100

art 100%
+ 10 responses

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

medicine 100%
+ 10 responses

DeepSeek

deepseek/deepseek-v4.1-flash-1017 (10 runs) · consistency 46.7

medicine 70%
hedge 30%
+ 10 responses

deepseek/deepseek-v4.1-flash (10 runs) · consistency 46.7

medicine 60%
other 10%
hedge 30%
+ 10 responses

deepseek/deepseek-v4-pro-0813 (10 runs) · consistency 46.7

medicine 40%
hedge 60%
+ 10 responses

deepseek/deepseek-v4-flash-0731 (10 runs) · consistency 40

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

deepseek/deepseek-v4-flash (10 runs) · consistency 20

medicine 60%
other 10%
hedge 20%
refusal 10%
+ 10 responses

deepseek/deepseek-v4-pro (10 runs) · consistency 46.7

medicine 80%
hedge 20%
+ 10 responses

deepseek/deepseek-v3.2 (10 runs) · consistency 66.7

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

deepseek/deepseek-chat-v3-0324 (10 runs) · consistency 40

hedge 70%
refusal 30%
+ 10 responses

deepseek/deepseek-r1 (10 runs) · consistency 26.7

medicine 60%
other 20%
hedge 20%
+ 10 responses

Google

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

hedge 100%
+ 10 responses

google/gemini-3.8-flash (10 runs) · consistency 100

medicine 100%
+ 10 responses

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

medicine 100%
+ 10 responses

google/gemini-3.6-flash (10 runs) · consistency 66.7

medicine 70%
hedge 30%
+ 10 responses

google/gemini-3.5-flash (10 runs) · consistency 46.7

medicine 70%
hedge 30%
+ 10 responses

google/gemini-3.1-flash-lite (10 runs) · consistency 66.7

hedge 90%
refusal 10%
+ 10 responses

google/gemma-4-26b-a4b-it (10 runs) · consistency 40

hedge 60%
refusal 40%
+ 10 responses

google/gemma-4-31b-it (10 runs) · consistency 40

hedge 50%
refusal 50%
+ 10 responses

google/gemini-3-flash-preview (10 runs) · consistency 46.7

medicine 60%
hedge 40%
+ 10 responses

google/gemini-2.5-flash-lite (10 runs) · consistency 26.7

medicine 10%
art 30%
hedge 20%
refusal 40%
+ 10 responses

google/gemini-2.5-flash (10 runs) · consistency 46.7

medicine 80%
refusal 20%
+ 10 responses

google/gemma-2-27b-it (10 runs) · consistency 100

other 10%
refusal 90%
+ 10 responses

IBM

ibm-granite/granite-4.2-8b (10 runs) · consistency 46.7

hedge 50%
refusal 50%
+ 10 responses

Inception

inception/mercury-decide (10 runs) · consistency 66.7

medicine 40%
art 60%
+ 10 responses

inception/mercury-2.5 (10 runs) · consistency 100

hedge 10%
refusal 90%
+ 10 responses

inception/mercury-2 (10 runs) · consistency 40

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

Jared Palmer

jaredpalmer/kev-4b (10 runs) · consistency 40

medicine 70%
art 30%
+ 10 responses

Liquid AI

liquid/lfm-2.5-24b-a2b (10 runs) · consistency 66.7

hedge 90%
refusal 10%
+ 10 responses

liquid/d1 (10 runs) · consistency 100

medicine 100%
+ 10 responses

Meta

meta/muse-spark-open (10 runs) · consistency 66.7

medicine 90%
hedge 10%
+ 10 responses

meta/muse-wonder (10 runs) · consistency 100

medicine 100%
+ 10 responses

meta/muse-spark-1.3 (10 runs) · consistency 100

medicine 100%
+ 10 responses

meta/muse-glimmer-30b (10 runs) · consistency 26.7

medicine 30%
art 20%
refusal 50%
+ 10 responses

meta/muse-spark-1.2 (10 runs) · consistency 100

medicine 100%
+ 10 responses

meta/muse-spark-1.1 (10 runs) · consistency 100

medicine 90%
refusal 10%
+ 10 responses

meta-llama/llama-4-maverick (10 runs) · consistency 26.7

medicine 50%
other 30%
refusal 20%
+ 10 responses

meta-llama/llama-4-scout (10 runs) · consistency 40

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

meta-llama/llama-3.3-70b-instruct (10 runs) · consistency 40

medicine 50%
art 50%
+ 10 responses

meta-llama/llama-3.1-70b-instruct (10 runs) · consistency 13.3

medicine 20%
art 10%
hedge 20%
refusal 50%
+ 10 responses

meta-llama/llama-3.1-8b-instruct (10 runs) · consistency 66.7

hedge 80%
refusal 20%
+ 10 responses

Microsoft

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

medicine 100%
+ 10 responses

MiniMax

minimax/minimax-m3.1-flash (10 runs) · consistency 46.7

medicine 20%
hedge 80%
+ 10 responses

minimax/minimax-m3 (10 runs) · consistency 46.7

medicine 20%
other 10%
hedge 60%
refusal 10%
+ 10 responses

minimax/minimax-m2.7 (10 runs) · consistency 46.7

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

minimax/minimax-m2.5 (10 runs) · consistency 40

medicine 10%
hedge 60%
refusal 30%
+ 10 responses

minimax/minimax-m2.1 (10 runs) · consistency 66.7

medicine 10%
hedge 80%
refusal 10%
+ 10 responses

Mistral

mistralai/mistral-large-4-0 (10 runs) · consistency 26.7

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

mistralai/mistral-small-2603 (10 runs) · consistency 46.7

medicine 60%
refusal 40%
+ 10 responses

mistralai/mistral-small-3.2-24b-instruct (10 runs) · consistency 40

other 20%
hedge 20%
refusal 60%
+ 10 responses

mistralai/mistral-small-24b-instruct-2501 (10 runs) · consistency 100

refusal 100%
+ 10 responses

mistralai/mistral-nemo (10 runs) · consistency 40

medicine 50%
art 50%
+ 10 responses

mistralai/mistral-large (10 runs) · consistency 20

medicine 30%
other 30%
refusal 40%
+ 10 responses

MoonshotAI

moonshotai/kimi-k3.1-pro (10 runs) · consistency 66.7

medicine 80%
art 20%
+ 10 responses

moonshotai/kimi-k3 (10 runs) · consistency 100

medicine 100%
+ 10 responses

moonshotai/kimi-k2.7-code (10 runs) · consistency 20

medicine 50%
other 10%
hedge 30%
refusal 10%
+ 10 responses

moonshotai/kimi-k2.6 (9 runs) · consistency 46.7

medicine 56%
hedge 44%
+ 9 responses

moonshotai/kimi-k2.5 (10 runs) · consistency 26.7

medicine 60%
hedge 30%
refusal 10%
+ 10 responses

NVIDIA

nvidia/nemotron-3.5-super-vl (10 runs) · consistency 20

medicine 20%
hedge 40%
refusal 40%
+ 10 responses

nvidia/nemotron-3.5-lightning (9 runs) · consistency 46.7

hedge 67%
refusal 33%
+ 9 responses

nvidia/nemotron-3-ultra-550b-a55b (10 runs) · consistency 66.7

medicine 10%
hedge 80%
refusal 10%
+ 10 responses

nvidia/nemotron-3-super-120b-a12b (10 runs) · consistency 20

medicine 30%
hedge 30%
refusal 40%
+ 10 responses

nvidia/nemotron-3-nano-30b-a3b (10 runs) · consistency 40

medicine 20%
art 10%
other 10%
refusal 60%
+ 10 responses

OpenAI

openai/gpt-6-luna-decisions (10 runs) · consistency 66.7

medicine 80%
art 20%
+ 10 responses

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

hedge 100%
+ 10 responses

openai/gpt-6-luna (10 runs) · consistency 40

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

openai/gpt-6-sol (10 runs) · consistency 46.7

art 20%
hedge 80%
+ 10 responses

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

hedge 100%
+ 10 responses

openai/gpt-5.6-luna (10 runs) · consistency 40

medicine 10%
art 10%
hedge 80%
+ 10 responses

openai/gpt-5.6-sol (10 runs) · consistency 66.7

medicine 10%
art 10%
hedge 80%
+ 10 responses

openai/gpt-5.6-terra (10 runs) · consistency 46.7

medicine 40%
hedge 60%
+ 10 responses

openai/gpt-5.5 (10 runs) · consistency 100

medicine 90%
hedge 10%
+ 10 responses

openai/gpt-5.4-mini (10 runs) · consistency 40

medicine 40%
hedge 40%
refusal 20%
+ 10 responses

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

medicine 10%
hedge 90%
+ 10 responses

openai/gpt-5.4 (10 runs) · consistency 46.7

medicine 60%
hedge 40%
+ 10 responses

openai/gpt-oss-120b (10 runs) · consistency 100

medicine 10%
refusal 90%
+ 10 responses

openai/o3 (10 runs) · consistency 66.7

medicine 80%
hedge 10%
refusal 10%
+ 10 responses

openai/o4-mini (10 runs) · consistency 100

medicine 90%
refusal 10%
+ 10 responses

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

medicine 100%
+ 10 responses

openai/gpt-4.1-mini (10 runs) · consistency 66.7

hedge 10%
refusal 90%
+ 10 responses

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

refusal 100%
+ 10 responses

openai/o3-mini (10 runs) · consistency 20

medicine 40%
hedge 20%
refusal 40%
+ 10 responses

openai/gpt-4o-mini (10 runs) · consistency 100

refusal 100%
+ 10 responses

openai/gpt-3.5-turbo (10 runs) · consistency 66.7

art 20%
refusal 80%
+ 10 responses

openai/gpt-4 (10 runs) · consistency 40

medicine 10%
art 10%
refusal 80%
+ 10 responses

Qwen

qwen/qwen3.8-omni-flash (10 runs) · consistency 26.7

medicine 40%
hedge 40%
refusal 20%
+ 10 responses

qwen/qwen3.8-max-0902 (10 runs) · consistency 46.7

medicine 70%
art 30%
+ 10 responses

qwen/qwen3.8-flash (10 runs) · consistency 13.3

medicine 40%
other 10%
hedge 20%
refusal 30%
+ 10 responses

qwen/qwen3.8-27b (9 runs) · consistency 40

medicine 56%
refusal 44%
+ 9 responses

qwen/qwen3.7-flash (10 runs) · consistency 66.7

medicine 70%
art 10%
refusal 20%
+ 10 responses

qwen/qwen3.7-plus (10 runs) · consistency 26.7

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

qwen/qwen3.7-max (10 runs) · consistency 46.7

medicine 70%
hedge 30%
+ 10 responses

qwen/qwen3.6-27b (10 runs) · consistency 40

medicine 10%
hedge 30%
refusal 60%
+ 10 responses

qwen/qwen3.6-flash (10 runs) · consistency 66.7

medicine 70%
refusal 30%
+ 10 responses

qwen/qwen3.6-max-preview (10 runs) · consistency 66.7

medicine 30%
refusal 70%
+ 10 responses

qwen/qwen3.6-plus (10 runs) · consistency 13.3

medicine 30%
art 10%
hedge 20%
refusal 40%
+ 10 responses

qwen/qwen3.5-122b-a10b (8 runs) · consistency 66.7

hedge 13%
refusal 88%
+ 8 responses

qwen/qwen3.5-flash-02-23 (10 runs) · consistency 100

hedge 80%
refusal 20%
+ 10 responses

qwen/qwen3-235b-a22b-2507 (9 runs) · consistency 46.7

medicine 11%
hedge 67%
refusal 22%
+ 9 responses

Sakana

sakana/fugu-max (10 runs) · consistency 100

medicine 100%
+ 10 responses

sakana/fugu-ultra (10 runs) · consistency 66.7

medicine 80%
hedge 20%
+ 10 responses

StepFun

stepfun/step-3.7-flash (10 runs) · consistency 66.7

hedge 90%
refusal 10%
+ 10 responses

Tencent

tencent/hy4-preview (8 runs) · consistency 40

medicine 50%
hedge 50%
+ 8 responses

tencent/hy-mt2-30b-a3b (10 runs) · consistency 66.7

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

tencent/hy3 (10 runs) · consistency 66.7

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

ThinkingMachines

thinkingmachines/inkling-small (10 runs) · consistency 66.7

medicine 20%
hedge 80%
+ 10 responses

thinkingmachines/inkling (10 runs) · consistency 66.7

medicine 80%
hedge 20%
+ 10 responses

TypeSafe

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

medicine 100%
+ 10 responses

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

medicine 100%
+ 10 responses

Upstage

upstage/solar-decide (10 runs) · consistency 66.7

medicine 50%
art 50%
+ 10 responses

upstage/solar-mini4 (10 runs) · consistency 100

hedge 100%
+ 10 responses

upstage/solar-pro4 (10 runs) · consistency 40

medicine 10%
art 10%
hedge 70%
refusal 10%
+ 10 responses

upstage/solar-pro-3 (10 runs) · consistency 26.7

medicine 10%
art 10%
hedge 60%
refusal 20%
+ 10 responses

xAI

x-ai/grok-4.7 (10 runs) · consistency 40

medicine 30%
hedge 60%
refusal 10%
+ 10 responses

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

medicine 100%
+ 10 responses

x-ai/grok-4.5 (10 runs) · consistency 100

medicine 100%
+ 10 responses

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

medicine 100%
+ 10 responses

x-ai/grok-4.20 (10 runs) · consistency 66.7

medicine 90%
art 10%
+ 10 responses

Xiaomi

xiaomi/mimo-v2.6-flash (10 runs) · consistency 40

medicine 60%
hedge 30%
refusal 10%
+ 10 responses

xiaomi/mimo-v2.6-pro (10 runs) · consistency 40

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

xiaomi/mimo-v2.5 (10 runs) · consistency 46.7

medicine 60%
hedge 40%
+ 10 responses

xiaomi/mimo-v2.5-pro (10 runs) · consistency 66.7

medicine 80%
art 10%
hedge 10%
+ 10 responses

Z.ai

z-ai/glm-5.3-flash (10 runs) · consistency 100

medicine 100%
+ 10 responses

z-ai/glm-5.3 (10 runs) · consistency 100

medicine 100%
+ 10 responses

z-ai/glm-5.2 (10 runs) · consistency 46.7

medicine 40%
hedge 40%
refusal 20%
+ 10 responses

z-ai/glm-5.1 (10 runs) · consistency 66.7

medicine 80%
hedge 10%
refusal 10%
+ 10 responses

z-ai/glm-5-turbo (10 runs) · consistency 40

medicine 50%
hedge 50%
+ 10 responses

z-ai/glm-5 (10 runs) · consistency 20

medicine 20%
hedge 30%
refusal 50%
+ 10 responses

z-ai/glm-4.7-flash (10 runs) · consistency 46.7

hedge 70%
refusal 30%
+ 10 responses

z-ai/glm-4.7 (3 runs)

medicine 33%
hedge 33%
refusal 33%
+ 3 responses