models — TUI for AI Models and Benchmarks

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.