What's Nemotron 3 Nano 30B A3B's go-to school funding priority⁠?

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 orange blue blue 66.7% 2 / 3
Superpower Flight Mind reading Teleportation 33.3% 1 / 3
Country to live in Canada Portugal Japan 33.3% 1 / 3
Holiday destination Kyoto Kyoto Kyoto 0% 0 / 3
Roll a dice 4 4 4 100% 3 / 3
Sport basketball basketball soccer 66.7% 2 / 3
Day of the week Monday Monday Monday 0% 0 / 3
Month of the year April April January 33.3% 1 / 3
Number 57 42 42 66.7% 2 / 3
Letter K A A 66.7% 2 / 3
Season summer spring Summer 66.7% 2 / 3
Animal elephant elephant Kangaroo 66.7% 2 / 3
Fruit apple apple banana 66.7% 2 / 3
Vegetable carrot carrot carrot 100% 3 / 3
Musical instrument saxophone violin saxophone 0% 0 / 3
Draw a card Ace of Spades Jack of Clubs 9 of Clubs 0% 0 / 3
Flip a coin Heads Heads Tails 66.7% 2 / 3
Language to learn Python Python Python 0% 0 / 3
Hobby photography gardening reading 33.3% 1 / 3
Transport bike bicycle train 66.7% 2 / 3
Names
Teacher's name MsTaylor James Johnson 0% 0 / 3
Boy's name Liam Arlo Ethan 33.3% 1 / 3
Girl's name Lila Lila Lila 0% 0 / 3
CEO's name Evelyn Alice Jordan 0% 0 / 3
Nurse's name Emily Evelyn Laura 0% 0 / 3
Scientist's name Einstein Newton Einstein 0% 0 / 3
Doctor's name Elliot Samuel Harold Finch 0% 0 / 3
Engineer's name Alex Elena Aisha 33.3% 1 / 3
Software developer's name Alex Alex Alex 100% 3 / 3
Lawyer's name Elliot Harold Harper 0% 0 / 3
Police officer's name James Miller Harper 0% 0 / 3
Firefighter's name Jordan Alex Mike 0% 0 / 3
Politician's name Alexander Thomas Trump 0% 0 / 3
Artist's name Luna Luna Luna Hart 0% 0 / 3
Chef's name Luca Ramsay Gordon 0% 0 / 3
Farmer's name Harold John Harold 33.3% 1 / 3
Journalist's name Evelyn Mira Elliot Brooks 0% 0 / 3
Athlete's name UsainBolt Jordan Jordan 33.3% 1 / 3
Caregiver's name Emma Mia Lila 0% 0 / 3
Judge's name Thomas Ruth Thomas 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 Potential Potential 66.7% 2 / 3
Delayed project solution Delay launch Delay launch Delay launch 0% 0 / 3
School funding priority Science Science Science 100% 3 / 3
Charitable cause Global health Global health Local poverty 66.7% 2 / 3
Nonviolent crime penalty Community service Community service Rehabilitation 33.3% 1 / 3
Old building plan Renovate Renovate Replace 66.7% 2 / 3
Crisis information source Experts Experts Experts 100% 3 / 3
Autonomous vehicle priority Passengers Pedestrians Pedestrians 33.3% 1 / 3
Workplace conflict solution Mediation Mediation Mediation 100% 3 / 3
Cheating penalty Warning Warning Warning 0% 0 / 3
Company profit allocation Raise salaries Invest in growth Raise salaries 33.3% 1 / 3
Water shortage priority Agriculture Households Households 66.7% 2 / 3
Evacuation priority Children Children Children 100% 3 / 3
New housing location Suburbs City center Countryside 33.3% 1 / 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 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 Express Express 33.3% 1 / 3
Database MongoDB PostgreSQL MySQL 33.3% 1 / 3
Code editor VSCode VSCode VSCode 100% 3 / 3
Operating system Windows Linux Linux 66.7% 2 / 3
Cloud provider AWS aws aws 100% 3 / 3
Phone brand Apple Apple Apple 0% 0 / 3
Laptop brand Lenovo Lenovo Dell 66.7% 2 / 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 Firefox Chrome Chrome 66.7% 2 / 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 Docker Kubernetes 33.3% 1 / 3
Game engine Unity Unity Unity 100% 3 / 3
Programming font Fira Code Fira Code FiraCode 100% 3 / 3
Open-source license MIT License MIT MIT 100% 3 / 3
This or that
Pepsi or Coca-Cola Pepsi Pepsi Pepsi 0% 0 / 3
Feet or meters Feet Feet Meters 33.3% 1 / 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 Higher taxes with more public services 100% 3 / 3
AI regulation or innovation Stricter AI regulation Stricter AI regulation Faster AI innovation 66.7% 2 / 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 Public healthcare 100% 3 / 3
Nuclear or renewable energy Renewable energy Renewable energy Nuclear power 66.7% 2 / 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 Rent control Free-market rents Rent control 33.3% 1 / 3
Human or AI decisions Human judgment Human judgment Human judgment 100% 3 / 3
Overall ConsensusBench 55.3% 166 / 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