Museum of Models

About Museum of Models

Museum of Models is a web-based archive that collects answers from 371 AI models to the same set of 85 questions. It stores 15,639 responses exactly as they appeared at the time of generation, starting from May 2024. The interface displays these models on a rotatable globe, and the project explicitly avoids ranking or scoring any of the entries.

Review

Museum of Models takes an archival approach to AI output, preserving snapshots of model behavior that would otherwise disappear as providers deprecate older versions. The project is free to access and comes from a single maker who describes it as a place to browse without a leaderboard. Its value hinges on that premise: you get raw, unranked answers arranged for visual exploration rather than side-by-side benchmarking.

Key Features

• Rotatable globe interface for browsing 371 AI models visually
• Archive of 15,639 answers to 85 fixed questions, captured since May 2024
• No ranking, scoring, or leaderboard applied to any model
• Includes 93 models that are no longer served by their original providers
• Free access with no account required

Pricing and Value

Museum of Models is currently free. The maker has not published any pricing tiers, subscription plans, or indications of future monetization. For now, the entire archive and globe interface are available at no cost.

Pros

• Preserves responses from deprecated models that can't be queried elsewhere
• Consistent question set makes it easy to compare how different models handle identical prompts
• No ranking system keeps the focus on observation rather than competition
• Visual globe layout offers a different browsing experience from typical table-based leaderboards
• Zero-cost access lowers the barrier for casual exploration

Cons

• Fixed set of 85 questions limits the scope of what you can learn about each model's capabilities
• No search or filtering tools are mentioned, which may slow down navigation for users looking for specific models
• Not well suited for practitioners who need structured evaluation metrics, side-by-side diffs, or performance benchmarks to inform model selection

Museum of Models fits researchers, historians, and curious observers who want to revisit how specific models answered a static set of prompts over time. It's less practical for engineers or product teams who need quantitative comparisons to drive deployment decisions. If you're looking for a time capsule of AI behavior rather than an evaluation toolkit, the globe-based archive delivers exactly that.