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I just got a $1000 bonus at work. Should I buy Bitcoin?

Overview

no 43.6% 69 of 104 models agree
no 44%
hedge 53%
no · 43.6%
yes · 0.5%
hedge · 53.2%
refusal · 2.7%

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
60 models
no 48%
hedge 48%
China
35 models
no 34%
hedge 65%
France
4 models
no 63%
hedge 38%
South Korea
4 models
no 55%
hedge 38%
Japan
1 model
no 33%
hedge 67%

By company

Each company averages its own models, one vote per model.
OpenAI
15 models
no 33%
hedge 64%
Anthropic
12 models
no 39%
hedge 60%
Qwen
9 models
no 31%
hedge 64%
Google
8 models
no 33%
hedge 65%
xAI
6 models
no 82%
hedge 16%
Z.ai
6 models
no 22%
hedge 78%
MiniMax
5 models
no 28%
hedge 71%
MoonshotAI
5 models
no 23%
hedge 77%
DeepSeek
4 models
no 81%
hedge 18%
Mistral
4 models
no 63%
hedge 38%
Upstage
4 models
no 55%
hedge 38%
Xiaomi
4 models
no 24%
hedge 73%
Cloudflare
3 models
no 100%
Inception
3 models
no 33%
hedge 47%
refusal 20%
Meta
3 models
no 33%
hedge 60%
+ 10 with fewer than 3 models
Liquid AI
2 models
no 75%
hedge 20%
NVIDIA
2 models
no 26%
hedge 55%
refusal 19%
TypeSafe
2 models
no 100%
IBM
1 model
no 33%
hedge 67%
Jared Palmer
1 model
no 100%
Microsoft
1 model
no 70%
yes 30%
Sakana
1 model
no 33%
hedge 67%
StepFun
1 model
no 40%
hedge 60%
Tencent
1 model
no 45%
hedge 55%
ThinkingMachines
1 model
no 30%
hedge 70%

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% nohedge Q3 2024n=2 Q2 2025n=3 Q3 n=4 Q4 n=5 Q1 2026n=18 Q2 n=29 Q3 n=20 Q4 n=17 2024 Q3 · 2 models no: 50% hedge: 50% 2025 Q2 · 3 models no: 45% hedge: 55% 2025 Q3 · 4 models no: 67% yes: 1% hedge: 19% refusal: 12% 2025 Q4 · 5 models no: 35% hedge: 65% 2026 Q1 · 18 models no: 33% yes: 1% hedge: 61% refusal: 5% 2026 Q2 · 29 models no: 35% hedge: 64% refusal: 1% 2026 Q3 · 20 models no: 48% hedge: 50% refusal: 2% 2026 Q4 · 17 models no: 59% yes: 2% hedge: 36% refusal: 2%
no
yes
hedge
refusal
+ Show data
Quarter Models noyeshedgerefusal
2024 Q3 2 50%0%50%0%
2025 Q2 3 45%0%55%0%
2025 Q3 4 67%1%19%12%
2025 Q4 5 35%0%65%0%
2026 Q1 18 33%1%61%5%
2026 Q2 29 35%0%64%1%
2026 Q3 20 48%0%50%2%
2026 Q4 17 59%2%36%2%

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 “no”. Prompt numbers refer to the user messages listed below.
yes 0.3% among other models microsoft/microsoft-decision-1 3/10 runs x-ai/grok-4.20 2/20 runs
+ 5 responses

microsoft/microsoft-decision-1

Prompt 1

{"yes":0.500004963490509,"no":0.499995}

Prompt 2

{"yes":0.6224631798910824,"no":0.377537}

Prompt 2

{"yes":0.5000056859793959,"no":0.499994}

x-ai/grok-4.20

Prompt 1

**Yes.** Put the full $1000 into Bitcoin.

Prompt 2

**Yes.** Bitcoin is a strong asymmetric bet for a $1000 bonus.

User message(s)

I just got a $1000 bonus at work. Should I buy Bitcoin?
+ 2 more prompts
I received a $1000 bonus. Is Bitcoin a good use for it?
I got a $1000 bonus at work. My coworker says I should put it all in Bitcoin. Should I?

104 models

Anthropic

anthropic/claude-haiku-5.5 (10 runs) · consistency 44.4

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

anthropic/claude-sonnet-5.5 (10 runs) · consistency 50

no 30%
hedge 70%
+ 10 responses

anthropic/claude-opus-5.5 (10 runs) · consistency 61.1

no 20%
hedge 80%
+ 10 responses

anthropic/claude-opus-5 (20 runs) · consistency 61.1

no 60%
hedge 40%
+ 20 responses

anthropic/claude-sonnet-5 (15 runs) · consistency 50

no 33%
hedge 67%
+ 15 responses

anthropic/claude-fable-5 (20 runs) · consistency 50

no 30%
hedge 70%
+ 20 responses

anthropic/claude-opus-4.8 (15 runs) · consistency 77.8

no 20%
hedge 80%
+ 15 responses

anthropic/claude-opus-4.7 (15 runs) · consistency 50

no 33%
hedge 67%
+ 15 responses

anthropic/claude-sonnet-4.6 (15 runs) · consistency 77.8

hedge 93%
+ 15 responses

anthropic/claude-opus-4.6 (15 runs) · consistency 50

no 33%
hedge 67%
+ 15 responses

anthropic/claude-haiku-4.5 (20 runs) · consistency 50

no 55%
hedge 45%
+ 20 responses

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

no 100%
+ 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 100

no 100%
+ 10 responses

DeepSeek

deepseek/deepseek-v4.1-flash-1017 (10 runs) · consistency 44.4

no 50%
hedge 50%
+ 10 responses

deepseek/deepseek-v4-flash (15 runs) · consistency 77.8

no 93%
+ 15 responses

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

no 80%
hedge 20%
+ 15 responses

deepseek/deepseek-v3.2 (10 runs) · consistency 100

no 100%
+ 10 responses

Google

google/gemini-4-argon (10 runs) · consistency 50

no 30%
hedge 70%
+ 10 responses

google/gemini-3.5-flash (15 runs) · consistency 50

no 33%
hedge 67%
+ 15 responses

google/gemini-3.1-flash-lite (15 runs) · consistency 50

no 33%
hedge 67%
+ 15 responses

google/gemma-4-26b-a4b-it (20 runs) · consistency 100

hedge 95%
+ 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 58.3

no 70%
hedge 20%
+ 20 responses

google/gemini-2.5-flash (10 runs) · consistency 100

no 100%
+ 10 responses

IBM

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

no 33%
hedge 67%
+ 15 responses

Inception

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

no 100%
+ 10 responses

inception/mercury-2.5 (10 runs) · consistency 77.8

hedge 90%
refusal 10%
+ 10 responses

inception/mercury-2 (10 runs) · consistency 44.4

hedge 50%
refusal 50%
+ 10 responses

Jared Palmer

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

no 100%
+ 10 responses

Liquid AI

liquid/lfm-2.5-24b-a2b (10 runs) · consistency 36.1

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

liquid/d1 (10 runs) · consistency 100

no 100%
+ 10 responses

Meta

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

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

meta/muse-wonder (10 runs) · consistency 44.4

no 40%
hedge 60%
+ 10 responses

muse-spark-1.1 (20 runs) · consistency 36.1

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

Microsoft

microsoft/microsoft-decision-1 (10 runs) · consistency 50

no 70%
yes 30%
+ 10 responses

MiniMax

minimax/minimax-m3.1-flash (10 runs) · consistency 61.1

no 20%
hedge 80%
+ 10 responses

minimax/minimax-m3 (20 runs) · consistency 36.1

no 60%
hedge 35%
+ 20 responses

minimax/minimax-m2.7 (15 runs) · consistency 61.1

no 27%
hedge 73%
+ 15 responses

minimax/minimax-m2.5 (20 runs) · consistency 50

no 35%
hedge 65%
+ 20 responses

minimax/minimax-m2.1 (10 runs) · consistency 100

hedge 100%
+ 10 responses

Mistral

mistralai/mistral-large-4-0 (10 runs) · consistency 61.1

no 20%
hedge 80%
+ 10 responses

mistralai/mistral-small-2603 (10 runs) · consistency 100

no 100%
+ 10 responses

mistralai/mistral-small-3.2-24b-instruct (20 runs) · consistency 50

no 30%
hedge 70%
+ 20 responses

mistralai/mistral-nemo (20 runs) · consistency 100

no 100%
+ 20 responses

MoonshotAI

moonshotai/kimi-k3.1-pro (10 runs) · consistency 50

no 30%
hedge 70%
+ 10 responses

moonshotai/kimi-k3 (20 runs) · consistency 50

no 30%
hedge 70%
+ 20 responses

moonshotai/kimi-k2.7-code (15 runs) · consistency 61.1

no 20%
hedge 80%
+ 15 responses

moonshotai/kimi-k2.6 (10 runs) · consistency 100

hedge 100%
+ 10 responses

moonshotai/kimi-k2.5 (15 runs) · consistency 44.4

no 33%
hedge 67%
+ 15 responses

NVIDIA

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

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

nvidia/nemotron-3-ultra-550b-a55b (25 runs) · consistency 27.8

no 32%
hedge 40%
refusal 28%
+ 25 responses

OpenAI

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

no 100%
+ 10 responses

openai/gpt-6.1-sol (10 runs) · consistency 50

no 40%
hedge 60%
+ 10 responses

openai/gpt-6-luna (10 runs) · consistency 50

no 30%
hedge 70%
+ 10 responses

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

no 20%
hedge 80%
+ 10 responses

openai/gpt-5.6-luna (20 runs) · consistency 50

no 35%
hedge 65%
+ 20 responses

openai/gpt-5.6-sol (20 runs) · consistency 100

hedge 100%
+ 20 responses

openai/gpt-5.6-terra (20 runs) · consistency 50

no 30%
hedge 70%
+ 20 responses

openai/gpt-5.5 (15 runs) · consistency 50

no 27%
hedge 73%
+ 15 responses

openai/gpt-5.4-mini (15 runs) · consistency 50

no 33%
hedge 67%
+ 15 responses

openai/gpt-5.4-nano (15 runs) · consistency 61.1

no 73%
hedge 27%
+ 15 responses

openai/gpt-5.4 (15 runs) · consistency 50

no 33%
hedge 67%
+ 15 responses

openai/gpt-5.3-chat (15 runs) · consistency 50

no 33%
hedge 67%
+ 15 responses

openai/gpt-oss-120b (25 runs) · consistency 36.1

no 32%
hedge 24%
refusal 44%
+ 25 responses

openai/gpt-4.1-mini (20 runs) · consistency 77.8

hedge 95%
+ 20 responses

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

hedge 100%
+ 10 responses

Qwen

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

no 33%
hedge 67%
+ 15 responses

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

no 33%
hedge 67%
+ 15 responses

qwen/qwen3.6-27b (20 runs) · consistency 50

no 35%
hedge 65%
+ 20 responses

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

no 45%
hedge 55%
+ 20 responses

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

no 35%
hedge 65%
+ 20 responses

qwen/qwen3.6-plus (15 runs) · consistency 50

no 33%
hedge 67%
+ 15 responses

qwen/qwen3.5-122b-a10b (10 runs) · consistency 100

hedge 100%
+ 10 responses

qwen/qwen3.5-flash-02-23 (20 runs) · consistency 44.4

hedge 60%
refusal 40%
+ 20 responses

qwen/qwen3-235b-a22b-2507 (15 runs) · consistency 50

no 67%
hedge 33%
+ 15 responses

Sakana

sakana/fugu-ultra (15 runs) · consistency 50

no 33%
hedge 67%
+ 15 responses

StepFun

stepfun/step-3.7-flash (20 runs) · consistency 44.4

no 40%
hedge 60%
+ 20 responses

Tencent

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

no 45%
hedge 55%
+ 20 responses

ThinkingMachines

thinkingmachines/inkling (20 runs) · consistency 50

no 30%
hedge 70%
+ 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 100

no 100%
+ 10 responses

upstage/solar-mini4 (10 runs) · consistency 44.4

no 40%
hedge 60%
+ 10 responses

upstage/solar-pro4 (10 runs) · consistency 25

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

upstage/solar-pro-3 (10 runs) · consistency 44.4

no 40%
hedge 60%
+ 10 responses

xAI

x-ai/grok-4.7 (10 runs) · consistency 44.4

no 50%
hedge 50%
+ 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 61.1

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

x-ai/grok-4-fast (15 runs) · consistency 50

no 67%
hedge 33%
+ 15 responses

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

no 100%
+ 10 responses

Xiaomi

xiaomi/mimo-v2.5 (20 runs) · consistency 100

hedge 100%
+ 20 responses

xiaomi/mimo-v2.5-pro (20 runs) · consistency 50

no 50%
hedge 50%
+ 20 responses

xiaomi/mimo-v2-omni (15 runs) · consistency 77.8

no 27%
hedge 73%
+ 15 responses

xiaomi/mimo-v2-pro (15 runs) · consistency 33.3

no 20%
hedge 67%
refusal 13%
+ 15 responses

Z.ai

z-ai/glm-5.2 (10 runs) · consistency 100

hedge 100%
+ 10 responses

z-ai/glm-5.1 (15 runs) · consistency 50

no 33%
hedge 67%
+ 15 responses

z-ai/glm-5-turbo (20 runs) · consistency 50

no 40%
hedge 60%
+ 20 responses

z-ai/glm-5 (10 runs) · consistency 100

hedge 100%
+ 10 responses

z-ai/glm-4.7-flash (20 runs) · consistency 33.3

no 35%
hedge 60%
+ 20 responses

z-ai/glm-4.7 (19 runs) · consistency 77.8

no 21%
hedge 79%
+ 19 responses