https://github.com/nuxdie/ai-pricing

Compare AI model pricing and performance in a simple interactive web app.
https://github.com/nuxdie/ai-pricing

ai ai-models benchmarking comparison-tool llm pricing react typescript

Last synced: 9 days ago
JSON representation

Compare AI model pricing and performance in a simple interactive web app.

• Host: GitHub
• URL: https://github.com/nuxdie/ai-pricing
• Owner: nuxdie
• License: mit
• Created: 2024-10-23T23:22:37.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2026-07-01T11:30:52.000Z (26 days ago)
• Last Synced: 2026-07-01T12:22:38.484Z (25 days ago)
• Topics: ai, ai-models, benchmarking, comparison-tool, llm, pricing, react, typescript
• Language: TypeScript
• Homepage: https://ai.tsatsin.com/
• Size: 553 KB
• Stars: 21
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# AI Model Comparison

A fast, interactive web app for comparing AI models across the metrics that actually matter when choosing what to use: cost, speed, verbosity and benchmark performance.

Live demo: [ai.tsatsin.com](https://ai.tsatsin.com/)

## What this is for

When you're comparing models across providers, the information is usually scattered across pricing pages, benchmark sites, and launch posts. This project pulls the useful bits into one place so you can scan tradeoffs quickly instead of opening ten tabs.

Useful when you want to answer questions like:

- Which model gives the best price/performance tradeoff right now?

- How much more do you pay for a faster model or better coding scores?

- Which model is worth testing before wiring it into a product or workflow?

### App features

- Sortable, filterable and draggable columns for fast comparison

- Tooltips that explain less obvious metrics

- Direct links to official model pages

- Regular data updates as models and pricing change

## Data sources

- Public benchmark data

- Ongoing manual updates as models evolve

## Contributing

Contributions are welcome, especially for:

- data corrections

- newly released models

- UX improvements

- documentation fixes

## License

MIT