# models — TUI for AI Models and Benchmarks

> models is a Rust TUI and CLI for browsing roughly 4,000 AI models, 85+ providers, and 400 benchmark entries with local commands instead of browser tabs.

## Install

Save the content below to `.claude/skills/` or append to your `CLAUDE.md`:

## Quick Use

```bash
brew install models
models --help
models status list
```

## Intro

models is a Rust TUI and CLI for browsing roughly 4,000 AI models, 85+ providers, and 400 benchmark entries with local commands instead of browser tabs.

**Best for:** developers comparing model providers, pricing, coding-agent support, and benchmark posture without juggling many dashboards

**Works with:** macOS, Linux, Windows, Homebrew or Cargo installs, terminal workflows, local model/provider research

**Setup time:** 5-8 minutes

### Key facts (verified)

- GitHub: 418 stars · 17 forks · pushed 2026-05-13.
- License: MIT; owner avatar verified from GitHub API for reyamira.
- Entry point checked from README: `brew install models`.

## Main

models is not a serving layer; it is a decision surface. The value is that provider, benchmark, and status information can be queried locally while you work inside a repo.

Because the README ships multiple install channels, it is easy to standardize across teams that do not all share the same workstation setup.

The 4,000-model and 85+ provider scope matters: this tool is useful when model choice changes weekly and you need a fast terminal-native way to see what shifted.

### Source-backed notes

- README highlights roughly 4,000 models across 85+ providers.
- The project also surfaces around 400 benchmark entries from Artificial Analysis.
- Install paths include Homebrew, Cargo, Scoop, and AUR.

### FAQ

**Q: Does it host models?**
A: No. It helps you browse and compare model and benchmark data from a terminal interface.

**Q: What is the fastest install path?**
A: Homebrew on macOS/Linux or Cargo on any platform, both documented in the README.

**Q: Why use it instead of websites?**
A: It keeps model research close to terminal-based workflows and reduces dashboard context switching.

## Source & Thanks

> Source: https://github.com/reyamira/models
> License: MIT
> GitHub stars: 418 · forks: 17

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## Quick Use

```bash
brew install models
models --help
models status list
```

## Intro

models 是一个 Rust TUI/CLI，可在本地终端浏览约 4,000 个模型、85+ 家提供商与 400 条基准数据，减少在网页间切换的成本。

**Best for:** 需要在终端里快速比较模型提供商、价格、编码能力与 benchmark 表现的开发者

**Works with:** macOS、Linux、Windows、Homebrew 或 Cargo 安装、终端工作流、本地模型调研

**Setup time:** 5-8 minutes

### Key facts (verified)

- GitHub：418 stars · 17 forks；最近更新 2026-05-13。
- 许可证：MIT；作者头像与仓库链接均已通过 GitHub API 复核。
- README 中核对过的入口命令：`brew install models`。

## Main

models 不是部署层，而是决策层。它把提供商、benchmark 与状态信息搬进终端，让你在仓库里工作时就能完成大部分筛选。

README 提供了 Homebrew、Cargo、Scoop、AUR 等多种安装路径，所以团队即使平台不统一，也能更容易标准化。

约 4,000 个模型与 85+ 提供商的覆盖面是关键：当模型选择每周都在变化时，这种终端原生的观察面就非常有用。

### Source-backed notes

- README highlights roughly 4,000 models across 85+ providers.
- The project also surfaces around 400 benchmark entries from Artificial Analysis.
- Install paths include Homebrew, Cargo, Scoop, and AUR.

### FAQ

**问：Does it host models?**
答：No. It helps you browse and compare model and benchmark data from a terminal interface.

**问：What is the fastest install path?**
答：Homebrew on macOS/Linux or Cargo on any platform, both documented in the README.

**问：Why use it instead of websites?**
答：It keeps model research close to terminal-based workflows and reduces dashboard context switching.

## Source & Thanks

> Source: https://github.com/reyamira/models
> License: MIT
> GitHub stars: 418 · forks: 17


---
Source: https://tokrepo.com/en/workflows/models-tui-for-ai-models-and-benchmarks
Author: Script Depot