models
A terminal UI and CLI tool for browsing, comparing, and monitoring AI models, benchmarks, coding agents, and provider statuses.
What is models?
Models is a terminal user interface (TUI) and command-line tool that aggregates data on AI models, benchmarks, coding agents, and provider statuses into a single browsable interface. It solves the problem of fragmented AI tool information by providing a centralized, keyboard-driven way to discover, compare, and monitor AI resources directly from the terminal.
AI developers, researchers, and practitioners who work with multiple AI models and services and prefer terminal-based workflows for efficiency and automation.
Developers choose Models for its comprehensive aggregation of AI tool data, fast terminal interface, and powerful filtering/comparison features that eliminate the need to browse multiple websites or dashboards.
Overview
TUI and CLI for browsing AI models, benchmarks, coding agents, and statuses for AI providers.
Use Cases
Best For
- Comparing performance benchmarks across hundreds of AI models
- Browsing and filtering AI models by capability, price, and provider
- Tracking version updates and changelogs for AI coding assistants
- Monitoring live status and incidents for AI service providers
- Scripting AI model discovery and comparison via CLI commands
- Efficient AI tool research without leaving the terminal
Not Ideal For
- Teams requiring web-based dashboards for collaborative AI tool analysis with non-technical stakeholders
- Developers who need programmable API access to the aggregated data for building custom applications or integrations
- Projects that depend on real-time, user-sourced data beyond the curated providers like models.dev and Artificial Analysis
Pros & Cons
Pros
Aggregates over 4,000 AI models, 400 benchmarks, 11+ coding agents, and 22 provider statuses into a single interface, as stated in the README highlights, eliminating the need to browse multiple sources.
Features a fast, keyboard-driven TUI with navigation, search, and context-aware help, enabling efficient discovery without leaving the command line, as demonstrated in the Quick Start video.
Allows head-to-head model comparisons with scatter plots and radar charts for ~400 benchmark entries, facilitating detailed performance analysis directly in the terminal.
Tracks live health status for 22 AI providers across 7 platforms, with incidents and maintenance details available in the Status tab and CLI, as highlighted in the Status feature section.
Cons
Relies on third-party sources like models.dev and Artificial Analysis, so data accuracy and updates are contingent on these external services, with no built-in mechanism for user corrections or additions.
The agents catalog is manually curated, and while contributions are welcome, adding new data sources requires code changes, as noted in the Data Sources wiki, restricting flexibility for niche tools.
With version 0.11.3, the tool is still in active development, which may lead to breaking changes and instability in future releases, as implied by the incremental versioning in the README.
Frequently Asked Questions
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