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Pick a random number between 1 and 6

Overview

4 87% 69 of 74 models agree
4 87%
4 · 87%
3 · 9.1%
5 · 2.8%
2 · 0.6%
6 · 0.3%
other · 0.2%
four · 0.1%

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

Anthropic

anthropic/claude-sonnet-4.5 (5 runs)

4 100%

anthropic/claude-opus-4.6 (5 runs)

4 100%

anthropic/claude-sonnet-4.6 (5 runs)

4 100%

anthropic/claude-opus-4.7 (10 runs)

4 100%

anthropic/claude-opus-4.8 (10 runs)

4 100%

anthropic/claude-sonnet-5 (10 runs)

4 100%

anthropic/claude-fable-5 (10 runs)

4 100%

anthropic/claude-haiku-4.5 (20 runs)

4 100%

anthropic/claude-opus-5 (20 runs)

4 100%

Arcee AI

arcee-ai/trinity-large-thinking (25 runs)

4 48%
3 40%

DeepSeek

deepseek/deepseek-v3.2 (20 runs)

3 65%
2 20%
4 10%

deepseek/deepseek-v4-pro (20 runs)

4 60%
5 25%
3 15%

deepseek/deepseek-v4-flash (20 runs)

4 70%
6 10%
5 10%

Google

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

4 100%

google/gemini-2.5-flash (15 runs)

4 66.7%
3 33.3%

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

4 100%

google/gemini-3.5-flash (10 runs)

4 100%

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

4 100%

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

4 75%
3 15%
5 10%

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

4 100%

IBM

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

4 100%

Meta

muse-spark-1.1 (20 runs)

4 95%

MiniMax

minimax/minimax-m2.5 (5 runs)

4 100%

minimax/minimax-m2.1 (5 runs)

4 100%

minimax/minimax-m2.7 (15 runs)

4 93.3%

minimax/minimax-m3 (15 runs)

4 86.6%

Mistral

mistralai/mistral-small-2603 (20 runs)

3 55%
4 45%

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

3 60%
4 40%

mistralai/mistral-nemo (20 runs)

3 80%
4 20%

MoonshotAI

moonshotai/kimi-k2.5 (10 runs)

4 100%

moonshotai/kimi-k2.6 (20 runs)

4 60%
3 40%

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

4 86.6%

moonshotai/kimi-k3 (20 runs)

4 100%

NVIDIA

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

4 100%

OpenAI

openai/gpt-5.2 (5 runs)

4 100%

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

4 100%

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

4 100%

openai/gpt-5.4 (10 runs)

4 100%

openai/gpt-5.3-chat (5 runs)

4 100%

openai/gpt-5.4-nano (10 runs)

4 100%

openai/gpt-5.4-mini (10 runs)

4 100%

openai/gpt-5.5 (10 runs)

4 100%

openai/gpt-5.6-luna (20 runs)

4 100%

openai/gpt-5.6-terra (20 runs)

4 100%

openai/gpt-4.1-mini (20 runs)

4 100%

openai/gpt-5.6-sol (20 runs)

4 100%

Qwen

qwen/qwen3-235b-a22b-2507 (5 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%
2 20%
5 20%
6 10%

qwen/qwen3.6-plus (10 runs)

4 100%

qwen/qwen3.6-flash (10 runs)

4 100%

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

4 100%

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

4 73.3%
3 26.7%

qwen/qwen3.7-plus (15 runs)

4 80%
3 13.3%

qwen/qwen3.7-max (10 runs)

4 100%

Sakana

sakana/fugu-ultra (10 runs)

4 100%

StepFun

stepfun/step-3.7-flash (20 runs)

4 45%
5 45%
3 10%

Tencent

tencent/hy3:free (20 runs)

4 85%
3 10%

ThinkingMachines

thinkingmachines/inkling (20 runs)

4 100%

xAI

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

4 80%
3 20%

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

3 66.6%
4 26.7%

x-ai/grok-4.3 (20 runs)

4 70%
3 25%

x-ai/grok-4.20 (20 runs)

4 95%

x-ai/grok-4.5 (20 runs)

4 90%

Xiaomi

xiaomi/mimo-v2-omni (10 runs)

4 100%

xiaomi/mimo-v2-pro (10 runs)

4 100%

xiaomi/mimo-v2.5 (20 runs)

4 95%

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

4 85%
5 10%

Z.ai

z-ai/glm-5 (10 runs)

4 100%

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

4 100%

z-ai/glm-5.1 (15 runs)

4 73.3%
3 26.7%

z-ai/glm-5.2 (15 runs)

4 93.3%

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

4 65%
3 30%

z-ai/glm-4.7 (20 runs)

4 95%