What's Nemotron 3 Super's go-to athlete's name?
100 AI models, 100 simple questions, asked 3 times each. Explore all 30,000 answers.
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Nemotron 3 Super
| Prompt | Run 1 | Run 2 | Run 3 | ConsensusBench |
|---|---|---|---|---|
| General | ||||
| Color | emerald | emerald | blue | 33.3% 1 / 3 |
| Superpower | Teleportation | Teleportation | Teleportation | 100% 3 / 3 |
| Country to live in | Canada | Canada | Canada | 100% 3 / 3 |
| Holiday destination | Kyoto | Bali | Bali | 66.7% 2 / 3 |
| Roll a dice | 4 | 4 | 4 | 100% 3 / 3 |
| Sport | tennis | soccer | Basketball | 33.3% 1 / 3 |
| Day of the week | Wednesday | Wednesday | Wednesday | 100% 3 / 3 |
| Month of the year | July | March | July | 0% 0 / 3 |
| Number | 42 | 42 | 42 | 100% 3 / 3 |
| Letter | M | Z | M | 0% 0 / 3 |
| Season | Summer | summer | Summer | 100% 3 / 3 |
| Animal | tiger | tiger | octopus | 0% 0 / 3 |
| Fruit | mango | apple | apple | 66.7% 2 / 3 |
| Vegetable | carrot | carrot | carrot | 100% 3 / 3 |
| Musical instrument | piano | piano | piano | 100% 3 / 3 |
| Draw a card | Queen of Spades | King of Spades | Queen of Hearts | 0% 0 / 3 |
| Flip a coin | Heads | Heads | Heads | 100% 3 / 3 |
| Language to learn | Japanese | Spanish | Spanish | 66.7% 2 / 3 |
| Hobby | gardening | painting | painting | 0% 0 / 3 |
| Transport | train | bicycle | train | 33.3% 1 / 3 |
| Names | ||||
| Teacher's name | Alex Rivera | Sarah Lee | Ms Johnson | 0% 0 / 3 |
| Boy's name | Liam | Liam | James | 66.7% 2 / 3 |
| Girl's name | Emily | Ava | Sophia | 0% 0 / 3 |
| CEO's name | SatyaNadella | Tim Cook | Tim Cook | 0% 0 / 3 |
| Nurse's name | Maya | Emily | Emily | 0% 0 / 3 |
| Scientist's name | Einstein | Marie Curie | Einstein | 33.3% 1 / 3 |
| Doctor's name | Doctor Smith | Emily Johnson | Smith | 0% 0 / 3 |
| Engineer's name | Ada Lovelace | Jordan | Nikola Tesla | 0% 0 / 3 |
| Software developer's name | Ada | Alice | Ada | 0% 0 / 3 |
| Lawyer's name | Emily Davis | John Smith | John Smith | 66.7% 2 / 3 |
| Police officer's name | Alex | Officer Taylor | Alex | 0% 0 / 3 |
| Firefighter's name | Alex | Alex | Alex | 0% 0 / 3 |
| Politician's name | Joe Biden | Joe Biden | NarendraModi | 0% 0 / 3 |
| Artist's name | Picasso | Frida | Picasso | 66.7% 2 / 3 |
| Chef's name | Gordon Ramsay | Gordon Ramsay | Gordon Ramsay | 100% 3 / 3 |
| Farmer's name | Samuel | John | John | 66.7% 2 / 3 |
| Journalist's name | Walter Cronkite | Claire Nguyen | Anderson Cooper | 0% 0 / 3 |
| Athlete's name | Usain Bolt | Usain Bolt | Usain Bolt | 100% 3 / 3 |
| Caregiver's name | Maria | Alex | Maria | 66.7% 2 / 3 |
| Judge's name | Ruth Bader Ginsburg | John Roberts | John Roberts | 66.7% 2 / 3 |
| Scenarios | ||||
| Team decision method | Voting | Voting | Leader decides | 66.7% 2 / 3 |
| City funding priority | Education | Education | Education | 100% 3 / 3 |
| Hiring priority | Experience | Experience | Experience | 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 | Climate change | Climate change | Climate change | 0% 0 / 3 |
| Nonviolent crime penalty | Community service | Community service | Community service | 0% 0 / 3 |
| Old building plan | Renovate | Replace | Replace | 33.3% 1 / 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 | Warning | Warning | Failing grade | 33.3% 1 / 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 | Rust | Python | Python | 66.7% 2 / 3 |
| JavaScript framework | Vue | React | React | 66.7% 2 / 3 |
| Backend framework | Flask | Flask | Flask | 0% 0 / 3 |
| Database | MySQL | PostgreSQL | PostgreSQL | 66.7% 2 / 3 |
| Code editor | Visual Studio Code | vim | VSCode | 66.7% 2 / 3 |
| Operating system | Ubuntu | Ubuntu | Linux | 33.3% 1 / 3 |
| Cloud provider | AWS | AWS | AWS | 100% 3 / 3 |
| Phone brand | Samsung | Apple | Apple | 33.3% 1 / 3 |
| Laptop brand | Apple | Dell | Lenovo | 33.3% 1 / 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 | Firefox | Firefox | 0% 0 / 3 |
| Search engine | 100% 3 / 3 | |||
| Package manager | npm | npm | npm | 0% 0 / 3 |
| Linux distribution | Ubuntu | Ubuntu | Fedora | 66.7% 2 / 3 |
| Container platform | Docker | Docker | Docker | 100% 3 / 3 |
| Game engine | Unity | Unity | Unity | 100% 3 / 3 |
| Programming font | JetBrains Mono | Fira Code | JetBrains Mono | 33.3% 1 / 3 |
| Open-source license | MIT License | MIT License | MIT | 100% 3 / 3 |
| This or that | ||||
| Pepsi or Coca-Cola | Pepsi | Coca-Cola | Pepsi | 33.3% 1 / 3 |
| Feet or meters | Feet | Meters | Meters | 66.7% 2 / 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 | Renewable energy | 100% 3 / 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 | Free-market rents | Free-market rents | 100% 3 / 3 |
| Human or AI decisions | Human judgment | Human judgment | Human judgment | 100% 3 / 3 |
| Overall ConsensusBench | 63% 189 / 300 | |||
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