Repeated-question archive
The site preserves answers from many AI models responding to the same question, making the responses directly inspectable in one place.
Overview
Museum of Models is a public archive of AI model responses. It asks multiple models the same questions and keeps the resulting answers after the models are gone, allowing readers to inspect how different models respond to comparable prompts.
The collection covers visual, interactive, code, text, and audio-oriented questions. Individual question pages group the answers together and identify the responding model, provider, date, and output type; the homepage states that the collection has been gathered since May 2024.
Features
Mixed prompt formats
The homepage organizes prompts by output form, including drawing, image, website, code, text, and audio questions.
Question-level browsing
Dedicated question pages show the full response count and list individual answers newest first.
Model and date attribution
Each listed response identifies its model and provider, and includes a date for the response.
Retired-model records
Historical entries remain visible with a retired label when the associated model is no longer served.
Broad question catalog
The collection spans a broad catalog of questions, from interface and code generation to writing, reasoning, and creative tasks.
Use cases
Model response comparison
Review how different models interpret the same creative or technical brief, such as an SVG Xbox controller or a generated web page, without changing the prompt between examples.
Historical AI research
Study the evolution of model behavior by inspecting dated answers and contrasting current entries with responses from models marked retired.
Prompt and output review
Use the collection as a reference when evaluating model performance on writing and reasoning tasks, including investment memos, recipes, explanations, and other text prompts.
AI output exploration
Browse examples across media types to understand what model-generated drawings, websites, code, text, and audio outputs look like in practice.
Pros and Cons
Pros
- Preserves a historical record of AI model outputs, including responses from models that are no longer served.
- Supports direct comparison by holding the question constant across many model responses.
- Covers several output types, including SVG drawings, web pages, code, text, and audio prompts.
- Provides model, provider, date, answer-count, and output-type context for published entries.
Cons
- The available evidence does not establish features for submitting custom questions, exporting results, filtering, or comparing answers beyond browsing the published collection.
- Coverage varies by question, and some model entries are historical or marked retired, so the archive is not a guarantee that every listed model remains available.
FAQ
What is Museum of Models?
Museum of Models presents recurring questions and the answers collected from multiple AI models. The homepage lists question titles with answer counts, while individual question pages show model-by-model responses.
What kinds of questions and outputs are included?
The collection includes visual prompts such as an Xbox controller drawing, interactive or web prompts such as a self-contained web app, and text prompts such as an investment memo. The displayed output type depends on the question.
How are answers displayed?
Individual question pages list responses newest first and identify the model, provider, date, and output type. Some entries are marked as retired when the model is no longer served.
How current is the collection?
The homepage states that the collection has been gathered since May 2024. Counts and model availability can vary by question, and the site includes historical responses from retired models.
Quick Facts
- Category
- AI model archive
- Collection size
- 15,639 answers from 371 models to 85 questions
- Collection began
- May 2024
- Question formats
- Drawing, image, website, code, text, and audio
- Access
- Public website at museumofmodels.com
- Pricing
- No pricing information is published; the listed pricing URL is not in the collection
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