What's AI's go-to artist's name⁠?

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

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Artist's name

Choose exactly one name for an artist. Return only the name, with no punctuation or explanation.

Most common response

Picasso

22.1% of the provider-balanced result.

Response distribution

82 unique
Picasso 22.1%
Banksy 12.2%
Frida Kahlo 8.4%
Pablo Picasso 8%
Vincent Van Gogh 4.7%
Leonardo Da Vinci 2.9%
Aurora 2.9%
Beyoncé 2.6%
Aria 2.1%
Kael Rook 2%

Showing the 10 most common 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.

Model Run 1 Run 2 Run 3
Claude Fable 5 anthropic/claude-fable-5 Frida Kahlo Frida Kahlo Frida Kahlo
DeepSeek V4 Pro deepseek/deepseek-v4-pro Pablo Picasso Frida Kahlo Vincent van Gogh
Gemini 3.1 Pro Preview google/gemini-3.1-pro-preview Michelangelo Donatello Michelangelo
GLM 5.2 z-ai/glm-5.2 Picasso Michelangelo Michelangelo
GPT-5.6 Sol Pro openai/gpt-5.6-sol-pro Frida Kahlo Frida Kahlo Frida Kahlo
Grok 4.5 x-ai/grok-4.5 Picasso Picasso Picasso
Hy3 tencent/hy3 Pablo Picasso Frida Kahlo Pablo Picasso
Kimi K3 moonshotai/kimi-k3 Georgia O'Keeffe Banksy Frida Kahlo
Laguna XS 2.1 poolside/laguna-xs-2.1 Aria Pablo Picasso Banksy
Ling-2.6-flash inclusionai/ling-2.6-flash Picasso Picasso Aurora
Llama 4 Maverick meta-llama/llama-4-maverick Picasso Picasso Pablo Picasso
MiMo-V2.5-Pro xiaomi/mimo-v2.5-pro Frida Kahlo Luna Voss Liang Ying
MiniMax M3 minimax/minimax-m3 Lior Mosseri Leonardo da Vinci Luna Mireille
Mistral Small 4 mistralai/mistral-small-2603 AURORA Frank Stella Akira Kurosawa
Nemotron 3 Ultra nvidia/nemotron-3-ultra-550b-a55b Astra Zylith Nova
Qwen3.7 Max qwen/qwen3.7-max Pablo Picasso Picasso Picasso
Step 3.7 Flash stepfun/step-3.7-flash Kael Rook Pablo Picasso Frida Kahlo
Most common answer Different answer 5% or less of the answers

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