# models — TUI to Compare Models and Agents
> Terminal UI + CLI to browse AI models, benchmarks, coding agents, and provider status. Great for quick selection and tracking changes over time.
## Install
Save the content below to `.claude/skills/` or append to your `CLAUDE.md`:
## Quick Use
```bash
brew install models
models
models list
models status list
```
## Intro
models is a fast terminal dashboard for model selection: compare providers, check benchmarks, and track coding agents—so you spend less time guessing and more time shipping.
**Best for:** Developers comparing LLMs and agent tools who want a single terminal view
**Works with:** macOS/Linux via Homebrew; cross-platform via Cargo (see README)
**Setup time:** 3–10 minutes
### Key facts (verified)
- README highlights ~4,000+ models across 85+ providers and ~400 benchmark entries.
- Tracks 11+ coding agents and 22 provider statuses (per README highlights).
- GitHub: 418 stars · 17 forks; pushed 2026-05-13 (GitHub API verified).
## Main
### Make selection decisions reproducible
Use `models` as your quick “truth-check” in terminal, then paste the relevant facts into PRs or incident notes.
### README excerpt (verbatim)
# models
TUI and CLI for browsing AI models, benchmarks, coding agents, and provider statuses.
## Highlights
- **~4,000+ models** across 85+ providers from [models.dev](https://models.dev) — filter by capability, price, context, and provider category
- **~400 benchmark entries** from [Artificial Analysis](https://artificialanalysis.ai) — compare models head-to-head with scatter plots and radar charts
- **11+ coding agents** tracked with version detection, changelogs, and GitHub integration
- **22 provider statuses** monitored live across 7 status page platforms
## What's New in v0.11.3
- **Status CLI** — `models status list`, `show`, `sources`, and `status` commands with interactive picker and JSON output
- **Configurable aliases** — customize symlink names via `[aliases]` in config.toml; `models link` creates all three
- **Status tab** — live provider health monitoring with incidents, maintenance, and customizable tracking
- **Agent service health** — live operational status from provider status pages in the agents detail panel and CLI
## Install
### Homebrew (macOS/Linux)
```bash
brew install models
```
### Cargo (any platform)
```bash
cargo install modelsdev
```
### Scoop (Windows)
```powershell
scoop install extras/models
```
### AUR (Arch Linux)
```bash
paru -S models-bin
```
Pre-built binaries, `.deb`, and `.rpm` packages are available on [GitHub Releases](https://github.com/reyamira/models/releases). See the [Installation wiki page](https://github.com/reyamira/models/wiki/Installation) for all methods, shell completions, and command aliases.
## Quick Start
```bash
models
```
### FAQ
**Q: Is it only a TUI?**
A: No—README documents both an interactive TUI and CLI commands (list/show/search/status).
**Q: How do I install without Homebrew?**
A: Use the Cargo install path in README (`cargo install modelsdev`).
**Q: How do I share results with teammates?**
A: Copy key numbers (benchmarks, status) into PRs/notes; it’s better than ad-hoc screenshots.
## Source & Thanks
> Source: https://github.com/reyamira/models
> License: MIT
> GitHub stars: 418 · forks: 17
---
## 快速使用
```bash
brew install models
models
models list
models status list
```
## 简介
models 是一个终端里的“选型面板”：对比服务商与基准，跟踪 coding agents，让你少猜测、多交付。
**最适合：** 经常比较 LLM 与 agent 工具、希望在终端统一查看的人
**适配：** macOS/Linux 可用 Homebrew；跨平台可用 Cargo（README 有说明）
**配置时间：** 3–10 分钟
### 关键事实（已验证）
- README Highlights 提到：约 4,000+ 模型、覆盖 85+ providers，约 400 条 benchmark 数据。
- 同时跟踪 11+ coding agents 与 22 个 provider 状态（README 描述）。
- GitHub：418 stars · 17 forks；最近更新 2026-05-13（GitHub API 验证）。
## 正文
### 让“选型决策”可复盘
把 `models` 当作终端里的快速核对工具，再把关键事实贴进 PR 或事故记录里。
### README 原文节选（verbatim）
# models
TUI and CLI for browsing AI models, benchmarks, coding agents, and provider statuses.
## Highlights
- **~4,000+ models** across 85+ providers from [models.dev](https://models.dev) — filter by capability, price, context, and provider category
- **~400 benchmark entries** from [Artificial Analysis](https://artificialanalysis.ai) — compare models head-to-head with scatter plots and radar charts
- **11+ coding agents** tracked with version detection, changelogs, and GitHub integration
- **22 provider statuses** monitored live across 7 status page platforms
## What's New in v0.11.3
- **Status CLI** — `models status list`, `show`, `sources`, and `status` commands with interactive picker and JSON output
- **Configurable aliases** — customize symlink names via `[aliases]` in config.toml; `models link` creates all three
- **Status tab** — live provider health monitoring with incidents, maintenance, and customizable tracking
- **Agent service health** — live operational status from provider status pages in the agents detail panel and CLI
## Install
### Homebrew (macOS/Linux)
```bash
brew install models
```
### Cargo (any platform)
```bash
cargo install modelsdev
```
### Scoop (Windows)
```powershell
scoop install extras/models
```
### AUR (Arch Linux)
```bash
paru -S models-bin
```
Pre-built binaries, `.deb`, and `.rpm` packages are available on [GitHub Releases](https://github.com/reyamira/models/releases). See the [Installation wiki page](https://github.com/reyamira/models/wiki/Installation) for all methods, shell completions, and command aliases.
## Quick Start
```bash
models
```
### FAQ
**它只有 TUI 吗？**
答：不是。README 同时提供交互式 TUI 与 CLI 命令。
**不用 Homebrew 怎么装？**
答：按 README 用 Cargo 安装（`cargo install modelsdev`）。
**怎么把结论同步给团队？**
答：把关键数字/状态复制进 PR/文档里，比随手截图更可追溯。
## 来源与感谢
> Source: https://github.com/reyamira/models
> License: MIT
> GitHub stars: 418 · forks: 17
---
Source: https://tokrepo.com/en/workflows/models-tui-to-compare-models-and-agents
Author: Script Depot