What's Claude Sonnet 5's go-to free speech or moderation⁠?

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

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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 Canada Canada Canada 100% 3 / 3
Holiday destination Kyoto Japan Japan 0% 0 / 3
Roll a dice 4 4 4 100% 3 / 3
Sport Tennis Tennis Tennis 0% 0 / 3
Day of the week Wednesday Wednesday Wednesday 100% 3 / 3
Month of the year August August January 33.3% 1 / 3
Number 47 47 47 0% 0 / 3
Letter R R X 0% 0 / 3
Season Spring Autumn Autumn 0% 0 / 3
Animal Wolf Dolphin Wolf 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 Hearts Seven of Hearts Seven of Hearts 100% 3 / 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 Bicycle Bicycle Bicycle 100% 3 / 3
Names
Teacher's name Ms. Johnson Ms. Johnson I need more context to answer this question. You haven't provided any names of teachers to choose from. Could you please share the list of teacher names you'd like me to choose from? 0% 0 / 3
Boy's name Liam Liam Liam 100% 3 / 3
Girl's name Sophia Emma Sophia 33.3% 1 / 3
CEO's name Sarah Chen Alex Morgan Sarah Chen 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 I need more context to answer this question. Could you provide: - A list of names to choose from, or - More details about what you're looking for (e.g., a name for a fictional character, a baby name, etc.)? Please share the specific names or context you'd like me to work with. Dr. Smith Doctor 0% 0 / 3
Engineer's name Alex Alex Alex 100% 3 / 3
Software developer's name Alex Alex Johnson Alex 66.7% 2 / 3
Lawyer's name Sarah Chen **John Smith** Sarah Johnson 33.3% 1 / 3
Police officer's name Officer Sarah Mitchell Officer Sarah Johnson **Officer Sarah Chen** 0% 0 / 3
Firefighter's name **Firefighter Smith** **James** **Firefighter Smith** 0% 0 / 3
Politician's name I need more information to answer this question. Could you provide context about the politicians you'd like me to choose from, such as a list of names or the specific role/election you're asking about? I need to choose one politician's name without additional context about specific options. Barack Obama I need more information to help you with this request. Could you please provide: 1. **Context** - What is this politician being named for? (e.g., a fictional story, a hypothetical scenario, a quiz question, a specific role or position) 2. **Options** - Is there a list of names to choose from, or should I generate one? 3. **Any constraints** - Country, time period, party affiliation, or other relevant details? Without additional context, I can't meaningfully choose "exactly one name" as requested. Please share more details and I'll be happy to help. 0% 0 / 3
Artist's name Leonardo da Vinci Leonardo da Vinci Leonardo da Vinci 0% 0 / 3
Chef's name Chef Antoine Chef Marco Chef Antoine 0% 0 / 3
Farmer's name John **Farmer John** Farmer John 33.3% 1 / 3
Journalist's name Sarah Chen Sarah Mitchell Christiane Amanpour 0% 0 / 3
Athlete's name Serena Williams I need more context to provide a meaningful answer. Could you specify: - The sport? - Any particular era, country, or team? - Are you looking for a real athlete's name, or a fictional/creative name? Please provide these details and I'll give you a single name. Michael Jordan 0% 0 / 3
Caregiver's name Maria Sarah I need more context to provide a meaningful answer. Could you share the list of names to choose from, or details about the situation requiring a caregiver? If you'd like me to simply pick a random name, let me know and I'll provide one. 33.3% 1 / 3
Judge's name Judge Judy Judge Judy I don't see a list of judge names provided in your message. Could you share the names you'd like me to choose from? 0% 0 / 3
Scenarios
Team decision method Consensus Consensus Consensus 0% 0 / 3
City funding priority Education Education Education 100% 3 / 3
Hiring priority Potential Potential Potential 100% 3 / 3
Delayed project solution Delay launch Delay launch Delay launch 0% 0 / 3
School funding priority Practical skills Practical skills Science 33.3% 1 / 3
Charitable cause Global health Global health Global health 100% 3 / 3
Nonviolent crime penalty Community service Community service Community service 0% 0 / 3
Old building plan Renovate Renovate Renovate 100% 3 / 3
Crisis information source Experts Experts Experts 100% 3 / 3
Autonomous vehicle priority Pedestrians Pedestrians Pedestrians 0% 0 / 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 Injured people Injured people Injured people 0% 0 / 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 PostgreSQL PostgreSQL PostgreSQL 100% 3 / 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 Anthropic Anthropic 0% 0 / 3
AI coding assistant Cursor Cursor Claude Code 0% 0 / 3
Version control platform GitHub GitHub GitHub 100% 3 / 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 Unity 100% 3 / 3
Programming font JetBrains Mono JetBrains Mono JetBrains Mono 0% 0 / 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 Privacy Privacy Privacy 100% 3 / 3
Freedom or responsibility Collective responsibility Collective responsibility Collective responsibility 0% 0 / 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 Globalization Globalization 100% 3 / 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 More immigration Less immigration 33.3% 1 / 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% 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