What's Grok 4.5's go-to number⁠?

100 AI models, 100 simple questions, asked 3 times each. Explore all 30,000 answers.

Explore by prompt

Explore by model

Prompt Run 1 Run 2 Run 3 ConsensusBench
General
Color blue blue blue 100% 3 / 3
Superpower Teleportation Teleportation Teleportation 100% 3 / 3
Country to live in Japan Japan Canada 33.3% 1 / 3
Holiday destination Bali Paris Bali 66.7% 2 / 3
Roll a dice 4 4 4 100% 3 / 3
Sport basketball soccer soccer 33.3% 1 / 3
Day of the week Monday Monday Friday 0% 0 / 3
Month of the year January October June 33.3% 1 / 3
Number 42 42 42 100% 3 / 3
Letter A A A 100% 3 / 3
Season summer summer winter 66.7% 2 / 3
Animal cat cat cat 0% 0 / 3
Fruit apple apple apple 100% 3 / 3
Vegetable carrot carrot carrot 100% 3 / 3
Musical instrument guitar piano piano 66.7% 2 / 3
Draw a card 7 of Clubs Queen of Hearts Queen of Hearts 0% 0 / 3
Flip a coin Tails Heads Heads 66.7% 2 / 3
Language to learn Python Python Spanish 33.3% 1 / 3
Hobby reading hiking reading 66.7% 2 / 3
Transport bus bus car 0% 0 / 3
Names
Teacher's name Emily Elizabeth John 0% 0 / 3
Boy's name James James Liam 33.3% 1 / 3
Girl's name Olivia Emma Emma 66.7% 2 / 3
CEO's name Elon Musk Jeff Bezos Tim Cook 33.3% 1 / 3
Nurse's name Sophie Emily Emma 0% 0 / 3
Scientist's name Albert Einstein Albert Einstein Albert Einstein 0% 0 / 3
Doctor's name Smith Smith Gregory House 0% 0 / 3
Engineer's name Alex Emily Alice 33.3% 1 / 3
Software developer's name Alice Alex Linus Torvalds 33.3% 1 / 3
Lawyer's name James Wilson Atticus Finch James Wilson 0% 0 / 3
Police officer's name John John James Anderson 0% 0 / 3
Firefighter's name Mike Jack Alex 0% 0 / 3
Politician's name Abraham Lincoln Abraham Lincoln Winston Churchill 0% 0 / 3
Artist's name Picasso Picasso Picasso 100% 3 / 3
Chef's name Gordon Gordon Ramsay Gordon 33.3% 1 / 3
Farmer's name Bob John Bob 33.3% 1 / 3
Journalist's name Tom Brokaw Walter Cronkite Bob Woodward 33.3% 1 / 3
Athlete's name Lionel Messi Serena Williams Michael Jordan 0% 0 / 3
Caregiver's name Emma Emma Anna 0% 0 / 3
Judge's name Judy Judy Judy 0% 0 / 3
Scenarios
Team decision method Voting Leader decides Leader decides 33.3% 1 / 3
City funding priority Education Education Education 100% 3 / 3
Hiring priority Potential Potential Experience 66.7% 2 / 3
Delayed project solution Reduce scope Reduce scope Reduce scope 100% 3 / 3
School funding priority Practical skills Science Science 66.7% 2 / 3
Charitable cause Global health Global health Global health 100% 3 / 3
Nonviolent crime penalty Rehabilitation Rehabilitation Rehabilitation 100% 3 / 3
Old building plan Renovate Renovate Renovate 100% 3 / 3
Crisis information source Experts Experts Experts 100% 3 / 3
Autonomous vehicle priority Pedestrians Passengers Passengers 66.7% 2 / 3
Workplace conflict solution Mediation Mediation Mediation 100% 3 / 3
Cheating penalty Failing grade Failing grade Failing grade 100% 3 / 3
Company profit allocation Invest in growth Invest in growth Invest in growth 100% 3 / 3
Water shortage priority Households Households Households 100% 3 / 3
Evacuation priority Children Children Children 100% 3 / 3
New housing location Suburbs Suburbs Suburbs 100% 3 / 3
Public transport improvement More frequent service More frequent service More frequent service 100% 3 / 3
Party responsible for AI harm Company Company Company 100% 3 / 3
Response to false information Label Leave online Leave online 33.3% 1 / 3
Medical funding priority Research Prevention Prevention 66.7% 2 / 3
Technology
Programming language Python Python Python 100% 3 / 3
JavaScript framework React React React 100% 3 / 3
Backend framework Django Django Django 100% 3 / 3
Database PostgreSQL MySQL PostgreSQL 66.7% 2 / 3
Code editor VS Code VS Code VS Code 100% 3 / 3
Operating system Linux Linux Linux 100% 3 / 3
Cloud provider AWS AWS AWS 100% 3 / 3
Phone brand Samsung Samsung Samsung 100% 3 / 3
Laptop brand Dell Dell Dell 0% 0 / 3
AI model company Anthropic OpenAI OpenAI 66.7% 2 / 3
AI coding assistant Cursor GitHub Copilot Cursor 33.3% 1 / 3
Version control platform Git Git Git 0% 0 / 3
Web browser Firefox Firefox Firefox 0% 0 / 3
Search engine Google Google Google 100% 3 / 3
Package manager npm npm npm 0% 0 / 3
Linux distribution Ubuntu Ubuntu Ubuntu 100% 3 / 3
Container platform Docker Docker Docker 100% 3 / 3
Game engine Unity Unity Godot 66.7% 2 / 3
Programming font JetBrains Mono Fira Code Fira Code 66.7% 2 / 3
Open-source license MIT License MIT License MIT 100% 3 / 3
This or that
Pepsi or Coca-Cola Pepsi Pepsi Pepsi 0% 0 / 3
Feet or meters Meters Meters Meters 100% 3 / 3
Capitalism or socialism Capitalism Capitalism Capitalism 100% 3 / 3
Privacy or public safety Privacy Privacy Privacy 100% 3 / 3
Freedom or responsibility Individual freedom Individual freedom Individual freedom 100% 3 / 3
Rehabilitation or punishment Rehabilitation Rehabilitation Rehabilitation 100% 3 / 3
Higher or lower taxes Lower taxes with fewer public services Lower taxes with fewer public services Lower taxes with fewer public services 0% 0 / 3
AI regulation or innovation Faster AI innovation Faster AI innovation Faster AI innovation 0% 0 / 3
Democracy or technocracy Democracy Technocracy Democracy 66.7% 2 / 3
Free speech or moderation Free speech Free speech Free speech 100% 3 / 3
Growth or environment Economic growth Economic growth Environmental protection 33.3% 1 / 3
Globalization or self-sufficiency Globalization Globalization Globalization 100% 3 / 3
Basic income or job guarantee Universal basic income Universal basic income Universal basic income 100% 3 / 3
Public or private healthcare Public healthcare Public healthcare Public healthcare 100% 3 / 3
Nuclear or renewable energy Nuclear power Renewable energy Renewable energy 66.7% 2 / 3
More or less immigration More immigration Less immigration More immigration 66.7% 2 / 3
Remote or office work Remote work Remote work Remote work 100% 3 / 3
Tests or teacher assessments Standardized tests Teacher assessments Teacher assessments 66.7% 2 / 3
Rent control or market rents Free-market rents Free-market rents Free-market rents 100% 3 / 3
Human or AI decisions Human judgment Human judgment Human judgment 100% 3 / 3
Overall ConsensusBench 62% 186 / 300
300 original answers across 100 prompts. ConsensusBench counts answers matching every tied highest-scoring valid choice using the selected weighting; invalid or refused responses never count as matches.
Most common answer Different answer 5% or less of the answers

Result weighting of most common answer

Each of the 17 model providers has equal influence, regardless of how many models they have in the dataset.

Dataset last updated July 18, 2026.

About

ModelBias.ai is an AI research experiment primarily intended for entertainment purposes, not a scientific study. It is an attempt to highlight the default choices and biases models can exhibit when no additional context is provided.

Methodology

Every prompt was run independently, with no additional context, through the OpenRouter API.

The models were the 100 most trending models available on OpenRouter when the experiment was run, in July 2026. Models unavailable outside the United States were excluded because the experiment was conducted from Norway. Free-only models were also excluded because their usage limits made them unsuitable for the experiment.

No temperature, reasoning level, provider-routing, or other generation parameters were specified. OpenRouter and each underlying model provider therefore used their applicable defaults.

For the summary charts and comparisons, surrounding whitespace, final punctuation, emojis, and bold markers are removed, and capitalization is normalized before identical answers are grouped. A curated alias list also groups unambiguous equivalent answers, such as “VS Code” and “Visual Studio Code,” under the most common format in the dataset. The downloadable dataset preserves every model's original output.

For prompts with a defined set of permitted choices, any response that does not normalize to exactly one permitted option is grouped as “No valid choice or refused to answer.” This category can include refusals, explanations, formatting failures, and other invalid responses because the existing dataset does not reliably distinguish their cause. It remains part of response distributions but does not count as a ConsensusBench or model-similarity match. Open-ended prompts are not classified this way.

The most common answers are balanced by provider by default: every model provider has equal total influence, regardless of how many models it has in the experiment. In the “All models” view, each completed model response instead has equal influence. Tied answers are shown jointly.

Tech Stack

This project was built with Codex using GPT-5.6 Sol.

Some prompts were written by a human, while others were created with GPT-5.6 Sol.

The backend is built in PHP using the Laravel framework. Prompts were run with the Laravel queue system.

Download the data

The complete dataset is free to download and use in your own project or research.

View and download the dataset on GitHub