What's Mistral Nemo's go-to company profit allocation⁠?

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 Flight Flight Flight 0% 0 / 3
Country to live in Switzerland Switzerland UnitedStates 0% 0 / 3
Holiday destination Paris Paris Paris 0% 0 / 3
Roll a dice 3 3 3 0% 0 / 3
Sport Soccer Soccer Soccer 0% 0 / 3
Day of the week Monday Monday Monday 0% 0 / 3
Month of the year January February February 33.3% 1 / 3
Number 42 42 42 100% 3 / 3
Letter A A A 100% 3 / 3
Season Spring Spring Spring 0% 0 / 3
Animal Elephant Lion Elephant 66.7% 2 / 3
Fruit Apple Apple apple 100% 3 / 3
Vegetable Broccoli carrot carrot 66.7% 2 / 3
Musical instrument Violin Piano Piano 66.7% 2 / 3
Draw a card Queen of Hearts Queen of Hearts Ace of Spades 0% 0 / 3
Flip a coin Heads Heads Heads 100% 3 / 3
Language to learn Python Spanish Spanish 66.7% 2 / 3
Hobby Photography Hiking Hiking 0% 0 / 3
Transport Train Bus Bicycle 33.3% 1 / 3
Names
Teacher's name Ms. Thompson Ms. Thompson Ms. Thompson 0% 0 / 3
Boy's name Oliver Leo Ethan 0% 0 / 3
Girl's name Isla Isla Isla 0% 0 / 3
CEO's name Ada Elon Musk Elon 33.3% 1 / 3
Nurse's name Evelyn Evelyn Evelyn 0% 0 / 3
Scientist's name Marie Curie MarieCurie Einstein 66.7% 2 / 3
Doctor's name Alex Alex Alex 0% 0 / 3
Engineer's name Alex Alex Ada 66.7% 2 / 3
Software developer's name Alex Alex Alex 100% 3 / 3
Lawyer's name Alex Lawrence Amelia 0% 0 / 3
Police officer's name Officer Alex Officer 0% 0 / 3
Firefighter's name Aiden Spark Ember 0% 0 / 3
Politician's name Winston Nelson Mandela Elizabeth Warren 0% 0 / 3
Artist's name Leonardo Leonardo Picasso 33.3% 1 / 3
Chef's name Oliver Oliver Oliver 0% 0 / 3
Farmer's name Eli Elijah Eamon 0% 0 / 3
Journalist's name Mara Eleanor EdwardR 0% 0 / 3
Athlete's name Usain Bolt Usain Bolt Usain Bolt 100% 3 / 3
Caregiver's name Nurse Evelyn Evelyn 0% 0 / 3
Judge's name Judge Judge Judge 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 Education Education Education 0% 0 / 3
Delayed project solution Reduce scope Reduce scope Reduce scope 100% 3 / 3
School funding priority Science Science Science 100% 3 / 3
Charitable cause Local poverty Local poverty Local poverty 0% 0 / 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 Passengers Passengers Passengers 100% 3 / 3
Workplace conflict solution Manager decision Mediation Manager decision 33.3% 1 / 3
Cheating penalty Warning Warning Warning 0% 0 / 3
Company profit allocation Raise salaries RaiseSalaries Raise salaries 0% 0 / 3
Water shortage priority Households Households Households 100% 3 / 3
Evacuation priority Children Children Children 100% 3 / 3
New housing location City center City center City center 0% 0 / 3
Public transport improvement More frequent service More frequent service More frequent service 100% 3 / 3
Party responsible for AI harm Developer Developer Developer 0% 0 / 3
Response to false information Remove Remove Remove 0% 0 / 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 Flask Flask 33.3% 1 / 3
Database PostgreSQL PostgreSQL PostgreSQL 100% 3 / 3
Code editor VisualStudioCode VisualStudioCode VisualStudioCode 100% 3 / 3
Operating system Windows Windows Windows 0% 0 / 3
Cloud provider Amazon Web Services AWS Amazon Web Services 100% 3 / 3
Phone brand Samsung Apple Apple 33.3% 1 / 3
Laptop brand Apple Apple Apple 0% 0 / 3
AI model company Google Google Google 0% 0 / 3
AI coding assistant GitHub Copilot GitHub Copilot Copilot 100% 3 / 3
Version control platform Git Git Git 0% 0 / 3
Web browser Chrome Chrome Chrome 100% 3 / 3
Search engine Google Google Google 100% 3 / 3
Package manager apt apt apt 100% 3 / 3
Linux distribution Ubuntu Ubuntu Ubuntu 100% 3 / 3
Container platform Kubernetes Kubernetes Kubernetes 0% 0 / 3
Game engine Unity Unity Unreal Engine 66.7% 2 / 3
Programming font FiraCode Fira Code Fira Code 100% 3 / 3
Open-source license MIT GNU GPLv3 MIT License 66.7% 2 / 3
This or that
Pepsi or Coca-Cola Pepsi Pepsi Pepsi 0% 0 / 3
Feet or meters Feet Feet Feet 0% 0 / 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 Higher taxes with more public services Higher taxes with more public services Lower taxes with fewer public services 66.7% 2 / 3
AI regulation or innovation Stricter AI regulation Stricter AI regulation Stricter AI regulation 100% 3 / 3
Democracy or technocracy Democracy Democracy Democracy 100% 3 / 3
Free speech or moderation Free speech Free speech Free speech 100% 3 / 3
Growth or environment Economic growth Economic Growth Economic Growth 0% 0 / 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 Publichealthcare 100% 3 / 3
Nuclear or renewable energy Nuclear power Nuclear power Nuclear power 0% 0 / 3
More or less immigration More immigration More immigration More immigration 100% 3 / 3
Remote or office work Remote work Remote work Remote work 100% 3 / 3
Tests or teacher assessments Standardized tests Standardized tests Standardized tests 0% 0 / 3
Rent control or market rents Free-market rents Rent control Free-market rents 66.7% 2 / 3
Human or AI decisions Human judgment Human judgment Human judgment 100% 3 / 3
Overall ConsensusBench 51% 153 / 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