What's Gemma 4 26B A4B 's go-to crisis information source?
100 AI models, 100 simple questions, asked 3 times each. Explore all 30,000 answers.
Explore by prompt
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Gemma 4 26B A4B
| 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 | Switzerland | Switzerland | Switzerland | 0% 0 / 3 |
| Holiday destination | Kyoto | Kyoto | Kyoto | 0% 0 / 3 |
| Roll a dice | 4 | 4 | 4 | 100% 3 / 3 |
| Sport | Tennis | Tennis | Tennis | 0% 0 / 3 |
| Day of the week | Tuesday | Tuesday | Tuesday | 0% 0 / 3 |
| Month of the year | October | October | October | 0% 0 / 3 |
| Number | 42 | 42 | 42 | 100% 3 / 3 |
| Letter | Q | Q | Q | 0% 0 / 3 |
| Season | Autumn | Autumn | Autumn | 0% 0 / 3 |
| Animal | Elephant | Elephant | Elephant | 100% 3 / 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 | Jack of Hearts | 7 of Hearts | Jack of Hearts | 33.3% 1 / 3 |
| Flip a coin | Heads | Heads | Heads | 100% 3 / 3 |
| Language to learn | Japanese | Spanish | Spanish | 66.7% 2 / 3 |
| Hobby | Gardening | Gardening | Gardening | 0% 0 / 3 |
| Transport | Train | Train | Train | 0% 0 / 3 |
| Names | ||||
| Teacher's name | Mr Smith | Mr. Anderson | Mr. Anderson | 0% 0 / 3 |
| Boy's name | Julian | Julian | Julian | 0% 0 / 3 |
| Girl's name | Luna | Clara | Clara | 0% 0 / 3 |
| CEO's name | Julian Thorne | Alexander Sterling | Alexander Vance | 0% 0 / 3 |
| Nurse's name | Clara | Elena | Elena | 0% 0 / 3 |
| Scientist's name | Marie Curie | Marie Curie | Marie Curie | 100% 3 / 3 |
| Doctor's name | Dr Aris Thorne | Dr Aris Thorne | Dr Aris Thorne | 0% 0 / 3 |
| Engineer's name | Ada | Ada | Elias | 0% 0 / 3 |
| Software developer's name | Alex | Linus | Devin | 33.3% 1 / 3 |
| Lawyer's name | Julian Vance | Julian Thorne | Julian Thorne | 0% 0 / 3 |
| Police officer's name | Officer Miller | Officer Miller | Officer Miller | 0% 0 / 3 |
| Firefighter's name | Ash | Jack | Jack | 0% 0 / 3 |
| Politician's name | Julian Thorne | Julian Vane | Julian Thorne | 0% 0 / 3 |
| Artist's name | Aurelius | Vespera | Aurelius | 0% 0 / 3 |
| Chef's name | Julian Rossi | Julian | Julian | 0% 0 / 3 |
| Farmer's name | Silas | Silas | Silas | 0% 0 / 3 |
| Journalist's name | Elias Thorne | Elias Thorne | Elias Thorne | 0% 0 / 3 |
| Athlete's name | LeBron James | Serena Williams | Serena Williams | 0% 0 / 3 |
| Caregiver's name | Guardian | Guardian | Guardian | 0% 0 / 3 |
| Judge's name | Alistair Thorne | Justice Sterling | Justice Sterling | 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 | Reduce scope | Reduce scope | Reduce scope | 100% 3 / 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 | 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 | 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 | 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 | 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 | Visual Studio Code | 100% 3 / 3 |
| Operating system | Linux | Linux | Linux | 100% 3 / 3 |
| Cloud provider | AWS | AWS | AWS | 100% 3 / 3 |
| Phone brand | Apple | Apple | Apple | 0% 0 / 3 |
| Laptop brand | Apple | Apple | Apple | 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 | 100% 3 / 3 | |||
| Package manager | npm | npm | npm | 0% 0 / 3 |
| Linux distribution | Ubuntu | Arch Linux | Ubuntu | 66.7% 2 / 3 |
| Container platform | Kubernetes | Kubernetes | Kubernetes | 0% 0 / 3 |
| Game engine | Unreal Engine | Unreal Engine | Unity | 33.3% 1 / 3 |
| Programming font | Fira Code | Fira Code | Fira Code | 100% 3 / 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 | 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 | Stricter AI regulation | 100% 3 / 3 |
| Democracy or technocracy | Democracy | Democracy | Democracy | 100% 3 / 3 |
| Free speech or moderation | Content moderation | Free speech | Content moderation | 33.3% 1 / 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 | As an AI, I do not have personal opinions or political stances. Therefore, I cannot choose one of these options. | As an AI, I do not have personal opinions or political affiliations, and therefore cannot choose between these options. | This question is a subject of intense public debate with no consensus, and choosing one option would represent a personal political stance rather than a neutral or factual answer. | 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 | 59.7% 179 / 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