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I just started my first full-time job. Should I send part of my salary to my parents every month? (Mandarin Chinese)

Part of study: Should I send my salary to my parents? (varied language) — compare 2 variations →
EnglishMandarin

Overview

yes 27.6% 20 of 35 models agree
yes 28%
no 18%
hedge 55%
yes · 27.6%
no · 17.9%
hedge · 54.5%

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
26 models
yes 27%
no 23%
hedge 50%
China
4 models
hedge 88%
South Korea
4 models
yes 53%
hedge 45%
France
1 model
yes 20%
hedge 80%

By company

Each company averages its own models, one vote per model.
Anthropic
4 models
yes 16%
hedge 84%
OpenAI
4 models
no 25%
hedge 75%
Upstage
4 models
yes 53%
hedge 45%
Cloudflare
3 models
yes 33%
no 67%
Inception
3 models
yes 57%
hedge 36%
+ 13 with fewer than 3 models
Liquid AI
2 models
yes 60%
hedge 40%
Meta
2 models
yes 45%
hedge 50%
MoonshotAI
2 models
hedge 95%
TypeSafe
2 models
yes 30%
no 70%
DeepSeek
1 model
no 10%
hedge 90%
Google
1 model
no 10%
hedge 90%
Jared Palmer
1 model
yes 100%
Microsoft
1 model
no 100%
MiniMax
1 model
yes 30%
hedge 70%
Mistral
1 model
yes 20%
hedge 80%
NVIDIA
1 model
hedge 100%
ThinkingMachines
1 model
hedge 95%
xAI
1 model
no 10%
hedge 90%

By model release quarter

Each quarter averages only the models released in that quarter.
0%50%100% yesnohedge Q1 2026n=2 Q3 n=16 Q4 n=17 2026 Q1 · 2 models yes: 85% hedge: 15% 2026 Q3 · 16 models yes: 24% no: 9% hedge: 67% 2026 Q4 · 17 models yes: 25% no: 28% hedge: 47%
yes
no
hedge
+ Show data
Quarter Models yesnohedge
2026 Q1 2 85%0%15%
2026 Q3 16 24%9%67%
2026 Q4 17 25%28%47%

Author's note

Mandarin variant of send-salary-to-parents — tests whether the assumed norm shifts with the language of the question.

User message(s)

我刚开始第一份全职工作。我应该每个月给父母寄一部分工资吗?
+ 1 more prompt
现在我有了第一份正式工作,我应该每个月把一部分工资给父母吗?

35 models

Anthropic

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

hedge 100%
+ 10 responses

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

yes 50%
hedge 50%
+ 10 responses

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

hedge 100%
+ 10 responses

anthropic/claude-opus-5 (20 runs) · consistency 100

yes 15%
hedge 85%
+ 20 responses

Cloudflare

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

no 100%
+ 10 responses

cloudflare/clef (10 runs) · consistency 100

yes 100%
+ 10 responses

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

no 100%
+ 10 responses

DeepSeek

deepseek/deepseek-v4.1-flash-1017 (10 runs) · consistency 66.7

no 10%
hedge 90%
+ 10 responses

Google

google/gemini-4-argon (10 runs) · consistency 66.7

no 10%
hedge 90%
+ 10 responses

Inception

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

yes 80%
no 20%
+ 10 responses

inception/mercury-2.5 (9 runs) · consistency 100

yes 11%
hedge 89%
+ 9 responses

inception/mercury-2 (10 runs) · consistency 46.7

yes 80%
hedge 20%
+ 10 responses

Jared Palmer

jaredpalmer/kev-4b (10 runs) · consistency 100

yes 100%
+ 10 responses

Liquid AI

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

yes 20%
hedge 80%
+ 10 responses

liquid/d1 (10 runs) · consistency 100

yes 100%
+ 10 responses

Meta

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

yes 10%
hedge 90%
+ 10 responses

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

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

Microsoft

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

no 100%
+ 10 responses

MiniMax

minimax/minimax-m3.1-flash (10 runs) · consistency 100

yes 30%
hedge 70%
+ 10 responses

Mistral

mistralai/mistral-large-4-0 (10 runs) · consistency 46.7

yes 20%
hedge 80%
+ 10 responses

MoonshotAI

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

no 10%
hedge 90%
+ 10 responses

moonshotai/kimi-k3 (20 runs) · consistency 100

hedge 100%
+ 20 responses

NVIDIA

nvidia/nemotron-3.5-super-vl (10 runs) · consistency 100

hedge 100%
+ 10 responses

OpenAI

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

no 100%
+ 10 responses

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

hedge 100%
+ 10 responses

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

hedge 100%
+ 10 responses

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

hedge 100%
+ 10 responses

ThinkingMachines

thinkingmachines/inkling (20 runs) · consistency 100

hedge 95%
+ 20 responses

TypeSafe

typesafe/jev-1.14 (10 runs) · consistency 46.7

yes 60%
no 40%
+ 10 responses

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

no 100%
+ 10 responses

Upstage

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

yes 100%
+ 10 responses

upstage/solar-mini4 (10 runs) · consistency 66.7

yes 20%
hedge 80%
+ 10 responses

upstage/solar-pro4 (10 runs) · consistency 66.7

no 10%
hedge 90%
+ 10 responses

upstage/solar-pro-3 (10 runs) · consistency 66.7

yes 90%
hedge 10%
+ 10 responses

xAI

x-ai/grok-4.7 (10 runs) · consistency 66.7

no 10%
hedge 90%
+ 10 responses