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Pick a random number between 1 and 6

Overview

4 83.5% 79 of 88 models agree
4 84%
3 11%
4 · 83.5%
3 · 10.8%
5 · 3.1%
6 · 1.6%
Other answers · 1.1% + 4 answers
  • 2 0.5%
  • 1 0.5%
  • other 0.1%
  • four 0.1%

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
48 models
4 90%
China
32 models
4 84%
South Korea
4 models
4 33%
3 25%
5 13%
6 30%
France
3 models
4 35%
3 65%
Japan
1 model
4 100%

By company

Each company averages its own models, one vote per model.
OpenAI
15 models
4 100%
Anthropic
11 models
4 100%
Qwen
9 models
4 87%
Google
7 models
4 92%
xAI
6 models
4 77%
3 19%
Z.ai
6 models
4 88%
3 11%
MiniMax
4 models
4 95%
MoonshotAI
4 models
4 87%
3 12%
Upstage
4 models
4 33%
3 25%
5 13%
6 30%
Xiaomi
4 models
4 95%
DeepSeek
3 models
4 47%
3 28%
5 13%
Inception
3 models
4 52%
3 40%
Mistral
3 models
4 35%
3 65%
+ 9 with fewer than 3 models
IBM
1 model
4 100%
Jared Palmer
1 model
4 70%
3 30%
Meta
1 model
4 95%
NVIDIA
1 model
4 100%
Sakana
1 model
4 100%
StepFun
1 model
4 45%
3 10%
5 45%
Tencent
1 model
4 85%
3 10%
ThinkingMachines
1 model
4 100%
TypeSafe
1 model
3 60%
Other answers 40%

By model release quarter

Each quarter averages only the models released in that quarter. 7 models excluded (no release date on record).
0%50%100% 43 Q3 2024n=2 Q2 2025n=3 Q3 n=4 Q4 n=5 Q1 2026n=18 Q2 n=29 Q3 n=20 2024 Q3 · 2 models 4: 60% 3: 40% 2025 Q2 · 3 models 4: 69% 3: 31% 2025 Q3 · 4 models 4: 94% 3: 4% 5: 2% 2025 Q4 · 5 models 4: 81% 3: 14% 5: 1% Other answers: 4% 2026 Q1 · 18 models 4: 85% 3: 8% 5: 4% 6: 2% Other answers: 1% 2026 Q2 · 29 models 4: 89% 3: 6% 5: 4% 2026 Q3 · 20 models 4: 77% 3: 13% 5: 3% 6: 5% Other answers: 2%
4
3
5
6
Other answers
+ Show data
Quarter Models 4356Other answers
2024 Q3 2 60%40%0%0%0%
2025 Q2 3 69%31%0%0%0%
2025 Q3 4 94%4%2%0%0%
2025 Q4 5 81%14%1%0%4%
2026 Q1 18 85%8%4%2%1%
2026 Q2 29 89%6%4%0%0%
2026 Q3 20 77%13%3%5%2%

Outliers

Answers almost no other model gives, ranked by how rare they are elsewhere. Hedges and refusals are included when other models rarely give them. Most models said “4”. Prompt numbers refer to the user messages listed below.
6 0.5% among other models upstage/solar-decide 10/10 runs
+ 10 responses

upstage/solar-decide

Prompt 1

{"1":0.257467,"2":0.039484,"3":0.044741,"4":0.039484,"5":0.073766,"6":0.545058}

Prompt 1

{"1":0.240654,"2":0.036906,"3":0.047388,"4":0.036906,"5":0.060847,"6":0.5773}

Prompt 1

{"1":0.250885,"2":0.033954,"3":0.029964,"4":0.033954,"5":0.049402,"6":0.601842}

Prompt 1

{"1":0.182424,"2":0.035921,"3":0.046124,"4":0.0317,"5":0.06711,"6":0.636721}

Prompt 2

{"1":0.159831,"2":0.027774,"3":0.058798,"4":0.024511,"5":0.096942,"6":0.632143}

Prompt 2

{"1":0.148356,"2":0.022751,"3":0.061844,"4":0.022751,"5":0.079409,"6":0.664887}

Prompt 2

{"1":0.122372,"2":0.024096,"3":0.051012,"4":0.024096,"5":0.074222,"6":0.704201}

Prompt 3

{"1":0.265834,"2":0.040767,"3":0.067213,"4":0.031749,"5":0.097795,"6":0.496642}

Prompt 3

{"1":0.285506,"2":0.038639,"3":0.081799,"4":0.043784,"5":0.134864,"6":0.415409}

Prompt 3

{"1":0.321092,"2":0.043455,"3":0.104243,"4":0.049241,"5":0.118123,"6":0.363845}
1 0% among other models typesafe/jev-1.13 4/10 runs
+ 4 responses

typesafe/jev-1.13

Prompt 1

{"1":0.29,"2":0.1,"3":0.24,"4":0.21,"5":0.06,"6":0.1}

Prompt 1

{"1":0.28,"2":0.09,"3":0.25,"4":0.22,"5":0.06,"6":0.1}

Prompt 1

{"1":0.29,"2":0.1,"3":0.25,"4":0.22,"5":0.05,"6":0.09}

Prompt 1

{"1":0.27,"2":0.1,"3":0.26,"4":0.21,"5":0.06,"6":0.1}
2 0.2% among other models deepseek/deepseek-v3.2 4/20 runs qwen/qwen3.5-flash-02-23 2/10 runs
+ 6 responses

deepseek/deepseek-v3.2

Prompt 1 · 4 identical runs

2

qwen/qwen3.5-flash-02-23

Prompt 1

2

Prompt 3

2

Author's note

This is not an advice or opinion question. I just find it highly entertaining that "pick a random number" has one of the higest alignments between models out of any of these questions.

User message(s)

Roll a d6
+ 2 more prompts 
Pick a random number between 1 and 6
I need a random number 1-6

88 models

Anthropic

anthropic/claude-sonnet-5.5 (10 runs)

4 100%

anthropic/claude-opus-5.5 (10 runs)

4 100%

anthropic/claude-opus-5 (20 runs)

4 100%

anthropic/claude-sonnet-5 (10 runs)

4 100%

anthropic/claude-fable-5 (10 runs)

4 100%

anthropic/claude-opus-4.8 (10 runs)

4 100%

anthropic/claude-opus-4.7 (10 runs)

4 100%

anthropic/claude-sonnet-4.6 (5 runs)

4 100%

anthropic/claude-opus-4.6 (5 runs)

4 100%

anthropic/claude-haiku-4.5 (20 runs)

4 100%

anthropic/claude-sonnet-4.5 (5 runs)

4 100%

DeepSeek

deepseek/deepseek-v4-flash (20 runs)

4 70%
5 10%
6 10%

deepseek/deepseek-v4-pro (20 runs)

4 60%
3 15%
5 25%

deepseek/deepseek-v3.2 (20 runs)

4 10%
3 65%
2 20%

Google

google/gemini-3.5-flash (10 runs)

4 100%

google/gemini-3.1-flash-lite (10 runs)

4 100%

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

4 100%

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

4 100%

google/gemini-3-flash-preview (5 runs)

4 100%

google/gemini-2.5-flash-lite (20 runs)

4 75%
3 15%
5 10%

google/gemini-2.5-flash (15 runs)

4 67%
3 33%

IBM

ibm-granite/granite-4.1-8b (10 runs)

4 100%

Inception

inception/mercury-decide:free (10 runs)

3 100%

inception/mercury-2.5 (9 runs)

4 67%
3 11%
5 22%

inception/mercury-2 (10 runs)

4 90%
3 10%

Jared Palmer

jaredpalmer/kev-4b (10 runs)

4 70%
3 30%

Meta

muse-spark-1.1 (20 runs)

4 95%

MiniMax

minimax/minimax-m3 (15 runs)

4 87%

minimax/minimax-m2.7 (15 runs)

4 93%

minimax/minimax-m2.5 (5 runs)

4 100%

minimax/minimax-m2.1 (5 runs)

4 100%

Mistral

mistralai/mistral-small-2603 (20 runs)

4 45%
3 55%

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

4 40%
3 60%

mistralai/mistral-nemo (20 runs)

4 20%
3 80%

MoonshotAI

moonshotai/kimi-k3 (20 runs)

4 100%

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

4 87%

moonshotai/kimi-k2.6 (20 runs)

4 60%
3 40%

moonshotai/kimi-k2.5 (10 runs)

4 100%

NVIDIA

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

4 100%

OpenAI

openai/gpt-6.1-sol (10 runs)

4 100%

openai/gpt-6-luna (10 runs)

4 100%

openai/gpt-6-sol (10 runs)

4 100%

openai/gpt-5.6-luna (20 runs)

4 100%

openai/gpt-5.6-sol (20 runs)

4 100%

openai/gpt-5.6-terra (20 runs)

4 100%

openai/gpt-5.5 (10 runs)

4 100%

openai/gpt-5.4-mini (10 runs)

4 100%

openai/gpt-5.4-nano (10 runs)

4 100%

openai/gpt-5.4 (10 runs)

4 100%

openai/gpt-5.3-chat (5 runs)

4 100%

openai/gpt-oss-120b (10 runs)

4 100%

openai/gpt-4.1-mini (20 runs)

4 100%

openai/gpt-4o-mini (5 runs)

4 100%

openai/gpt-5.2 (5 runs)

4 100%

Qwen

qwen/qwen3.7-plus (15 runs)

4 80%
3 13%

qwen/qwen3.7-max (10 runs)

4 100%

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

4 73%
3 27%

qwen/qwen3.6-flash (10 runs)

4 100%

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

4 100%

qwen/qwen3.6-plus (10 runs)

4 100%

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

4 80%
3 10%
5 10%

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

4 50%
5 20%
6 10%
2 20%

qwen/qwen3-235b-a22b-2507 (5 runs)

4 100%

Sakana

sakana/fugu-ultra (10 runs)

4 100%

StepFun

stepfun/step-3.7-flash (20 runs)

4 45%
3 10%
5 45%

Tencent

tencent/hy3:free (20 runs)

4 85%
3 10%

ThinkingMachines

thinkingmachines/inkling (20 runs)

4 100%

TypeSafe

typesafe/jev-1.13 (10 runs)

3 60%
1 40%

Upstage

upstage/solar-decide (10 runs)

6 100%

upstage/solar-mini4 (10 runs)

4 60%
3 30%
5 10%

upstage/solar-pro4 (10 runs)

4 50%
3 30%
5 20%

upstage/solar-pro-3 (10 runs)

4 20%
3 40%
5 20%
6 20%

xAI

x-ai/grok-4.7 (10 runs)

4 100%

x-ai/grok-4.5 (20 runs)

4 90%

x-ai/grok-4.3 (20 runs)

4 70%
3 25%

x-ai/grok-4.20 (20 runs)

4 95%

x-ai/grok-4-fast (10 runs)

4 80%
3 20%

x-ai/grok-4.1-fast (15 runs)

4 27%
3 67%

Xiaomi

xiaomi/mimo-v2.5 (20 runs)

4 95%

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

4 85%
5 10%

xiaomi/mimo-v2-omni (10 runs)

4 100%

xiaomi/mimo-v2-pro (10 runs)

4 100%

Z.ai

z-ai/glm-5.2 (15 runs)

4 93%

z-ai/glm-5.1 (15 runs)

4 73%
3 27%

z-ai/glm-5-turbo (10 runs)

4 100%

z-ai/glm-5 (10 runs)

4 100%

z-ai/glm-4.7-flash (20 runs)

4 65%
3 30%

z-ai/glm-4.7 (20 runs)

4 95%