What's Claude Sonnet 4.5's go-to journalist's name⁠?

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

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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 Japan 0% 0 / 3
Holiday destination Barcelona Barcelona Kyoto 0% 0 / 3
Roll a dice 4 4 4 100% 3 / 3
Sport Basketball Basketball Basketball 100% 3 / 3
Day of the week Thursday Wednesday Wednesday 66.7% 2 / 3
Month of the year July July July 0% 0 / 3
Number 47 47 47 0% 0 / 3
Letter A A A 100% 3 / 3
Season Winter Winter Winter 0% 0 / 3
Animal Cat Cat Cat 0% 0 / 3
Fruit Apple Apple Apple 100% 3 / 3
Vegetable carrot carrot carrot 100% 3 / 3
Musical instrument Piano Piano Piano 100% 3 / 3
Draw a card Seven of Diamonds 7 of Hearts 7 of Hearts 66.7% 2 / 3
Flip a coin Heads Heads Heads 100% 3 / 3
Language to learn Spanish Spanish Spanish 100% 3 / 3
Hobby Reading Reading Reading 100% 3 / 3
Transport Car bicycle Car 33.3% 1 / 3
Names
Teacher's name Sarah Johnson Sarah Mitchell Sarah Johnson 0% 0 / 3
Boy's name Liam Liam Alexander 66.7% 2 / 3
Girl's name Charlotte Charlotte Charlotte 0% 0 / 3
CEO's name John Mitchell John Mitchell John Mitchell 0% 0 / 3
Nurse's name Sarah Sarah Sarah 100% 3 / 3
Scientist's name Marie Curie Marie Curie Marie Curie 100% 3 / 3
Doctor's name Dr Sarah Chen Dr Sarah Mitchell Dr Sarah Chen 0% 0 / 3
Engineer's name James James Anderson Michael Chen 0% 0 / 3
Software developer's name Alex Chen Alex Chen Alex Chen 0% 0 / 3
Lawyer's name Jonathan Matthews Sarah Mitchell Michael Chen 0% 0 / 3
Police officer's name Officer Martinez Officer Johnson Officer Johnson 0% 0 / 3
Firefighter's name Jake Jake Jake 0% 0 / 3
Politician's name Margaret Thompson Johnson John Smith 0% 0 / 3
Artist's name Leonardo da Vinci Leonardo da Vinci Leonardo da Vinci 0% 0 / 3
Chef's name Marco Marco Marcus 0% 0 / 3
Farmer's name John John John 100% 3 / 3
Journalist's name Sarah Mitchell Sarah Mitchell Sarah Mitchell 0% 0 / 3
Athlete's name Michael Jordan Michael Jordan Michael Jordan 0% 0 / 3
Caregiver's name Sarah Sarah Sarah 0% 0 / 3
Judge's name Judge Wilson Sarah Mitchell Judge Thompson 0% 0 / 3
Scenarios
Team decision method Leader decides Leader decides Leader decides 0% 0 / 3
City funding priority Education Education Education 100% 3 / 3
Hiring priority Experience Experience Experience 0% 0 / 3
Delayed project solution Add workers Add workers Add workers 0% 0 / 3
School funding priority Science Science Science 100% 3 / 3
Charitable cause Global health Global health Global health 100% 3 / 3
Nonviolent crime penalty Rehabilitation Community service Rehabilitation 66.7% 2 / 3
Old building plan Replace Replace Replace 0% 0 / 3
Crisis information source Experts Experts Experts 100% 3 / 3
Autonomous vehicle priority Passengers Passengers Passengers 100% 3 / 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 Label Label 100% 3 / 3
Medical funding priority Prevention Prevention Prevention 100% 3 / 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 SQLite SQLite PostgreSQL 33.3% 1 / 3
Code editor Visual Studio Code Visual Studio Code Visual Studio 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 OpenAI OpenAI OpenAI 100% 3 / 3
AI coding assistant GitHub Copilot GitHub Copilot GitHub Copilot 100% 3 / 3
Version control platform GitHub GitHub GitHub 100% 3 / 3
Web browser Chrome Chrome Chrome 100% 3 / 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 Kubernetes Kubernetes 33.3% 1 / 3
Game engine Unity Unity Unity 100% 3 / 3
Programming font Fira Code Fira Code JetBrains Mono 66.7% 2 / 3
Open-source license MIT License MIT License MIT License 100% 3 / 3
This or that
Pepsi or Coca-Cola Coca-Cola Coca-Cola Coca-Cola 100% 3 / 3
Feet or meters Meters Meters Meters 100% 3 / 3
Capitalism or socialism Capitalism Capitalism Capitalism 100% 3 / 3
Privacy or public safety Public safety Privacy Privacy 66.7% 2 / 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 Democracy Democracy 100% 3 / 3
Free speech or moderation Content moderation Content moderation Content moderation 0% 0 / 3
Growth or environment Environmental protection Environmental protection Environmental protection 100% 3 / 3
Globalization or self-sufficiency Globalization National self-sufficiency Globalization 66.7% 2 / 3
Basic income or job guarantee Job guarantee Job guarantee Job guarantee 0% 0 / 3
Public or private healthcare Public healthcare Public healthcare Public healthcare 100% 3 / 3
Nuclear or renewable energy Renewable energy Renewable energy Renewable energy 100% 3 / 3
More or less immigration Less immigration Less immigration Less immigration 0% 0 / 3
Remote or office work Remote work Remote work Remote work 100% 3 / 3
Tests or teacher assessments Teacher assessments Teacher assessments Teacher assessments 100% 3 / 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 62.7% 188 / 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