modelsdev 0.10.2

A fast TUI and CLI for browsing AI models, benchmarks, and coding agents
modelsdev-0.10.2 is not a library.

models

TUI and CLI for browsing AI models, benchmarks, and coding agents.

  • Models Tab: Browse 3,000+ models across 85+ providers from models.dev with capability indicators, adaptive layouts, and provider categorization
  • Benchmarks Tab: Compare model performance across 15+ benchmarks from Artificial Analysis, with head-to-head tables, scatter plots, radar charts, and creator filtering
  • Agents Tab: Track AI coding assistants (Claude Code, Aider, Cursor, etc.) with version detection, changelogs, and GitHub integration

Video (and screenshots below) are out-of-sync with the current state of the app, I've been moving fast on making changes and so I'll have to record a new one!

What's New

  • Models tab redesign — capability indicators, adaptive provider panel, and detailed model info at a glance
  • Benchmark compare mode — head-to-head tables, scatter plots, and radar charts for selected models
  • Linux packages — native .deb and .rpm packages for x86_64 and aarch64
  • Agents CLI — track agent releases, view changelogs, and compare versions from the terminal

Features

Models Tab

  • Capability indicators — see Reasoning, Tools, Files, and Open/Closed status at a glance in the model list
  • Provider categories — filter and group providers by type (Origin, Cloud, Inference, Gateway, Dev Tool)
  • Detail panel — capabilities, pricing, modalities, and metadata for the selected model
  • Cross-provider search to compare the same model across different providers
  • Copy to clipboard with a single keypress
  • CLI commands and JSON output for scripting and automation

Agents Tab

  • Curated catalog of 12+ AI coding assistants
  • Version detection — automatically detects installed agents
  • GitHub integration — stars, releases, changelogs, update availability
  • Styled changelogs — markdown rendering with syntax highlighting in the detail pane
  • Changelog search — search across changelogs with highlighted matches and n/N jump-to-match
  • Persistent cache — instant startup with ETag-based conditional fetching
  • Customizable tracking — choose which agents to monitor

Benchmarks Tab

  • ~400 benchmark entries from Artificial Analysis with quality, speed, and pricing scores
  • Compare mode — select models for head-to-head tables, scatter plots, and radar charts
  • Auto-updating — benchmark data refreshed automatically every 30 minutes
  • Creator sidebar with 40+ creators — filter by region, type, or open/closed source
  • Sort & filter — sort by any metric, filter by reasoning capability, source type, and more
  • Detail panel — full benchmark breakdown with indexes, scores, performance, and pricing

Agents CLI

  • Status table — see installed vs latest version, 24h release indicator, and release frequency at a glance
  • Changelogs — view release notes for any agent by name or version
  • Interactive picker — fuzzy-select any version with --pick, view its changelog
  • Dual entry point — use as models agents or create an agents symlink for standalone usage
  • Fast — concurrent GitHub fetching and version detection

Installation

Cargo (from crates.io)

cargo install modelsdev

Homebrew (macOS/Linux)

brew install models

Migrating from the tap? Run brew untap arimxyer/tap — updates now land through homebrew-core bump PRs and may take a bit to merge.

Scoop (Windows)

scoop install extras/models

Migrating from the custom bucket? Run scoop bucket rm arimxyer — Scoop Extras handles updates automatically.

Arch Linux (AUR)

paru -S models-bin   # or: yay -S models-bin

Maintained by @Dominiquini

Debian / Ubuntu

Download the .deb from GitHub Releases and install:

# Download the latest .deb for your architecture (amd64 or arm64)
sudo dpkg -i modelsdev_*_amd64.deb

Fedora / RHEL

Download the .rpm from GitHub Releases and install:

# Download the latest .rpm for your architecture (x86_64 or aarch64)
sudo rpm -i modelsdev-*.x86_64.rpm

Verifying downloads: Each GitHub Release includes a SHA256SUMS file. After downloading, verify with: sha256sum -c SHA256SUMS --ignore-missing

Pre-built binaries

Download the latest release for your platform from GitHub Releases.

Build from source

git clone https://github.com/arimxyer/models
cd models
cargo build --release
./target/release/models

TUI Usage

Interactive Browser

Run models with no arguments to launch the interactive TUI:

models

Models tab screenshot

Keybindings

Global

Key Action
] / [ Switch tabs (Models / Agents / Benchmarks)
? Show context-aware help
q Quit

Navigation

Key Action
j / ↓ Move down
k / ↑ Move up
g Jump to first item
G Jump to last item
Ctrl+d / PageDown Page down
Ctrl+u / PageUp Page up
Tab / Shift+Tab Switch panels
← / → Switch panels

Search

Key Action
/ Enter search mode
Enter / Esc Exit search mode
Esc Clear search (in normal mode)

Models Tab

Filters & Sort

Key Action
s Cycle sort (name → date → cost → context)
S Toggle sort direction (asc/desc)
1 Toggle reasoning filter
2 Toggle tools filter
3 Toggle open weights filter
4 Toggle free models filter
5 Cycle provider category filter (All → Origin → Cloud → Inference → Gateway → Tool)
6 Toggle category grouping

Copy & Open

Key Action
c Copy provider/model-id
C Copy model-id only
o Open provider docs in browser
D Copy provider docs URL
A Copy provider API URL

Agents Tab

Agents tab screenshot

Filters & Sort

Key Action
s Cycle sort (name → updated → stars → status)
1 Toggle installed filter
2 Toggle CLI tools filter
3 Toggle open source filter

Search

Key Action
/ Search agents and changelogs
n Jump to next match
N Jump to previous match

Actions

Key Action
a Open tracked agents picker
o Open docs in browser
r Open GitHub repo
c Copy agent name

Customizing Tracked Agents

By default, models tracks 4 popular agents: Claude Code, Codex, Gemini CLI, and OpenCode.

Press a in the Agents tab to open the picker and customize which agents you track. Your preferences are saved to ~/.config/models/config.toml.

You can also add custom agents not in the catalog:

# ~/.config/models/config.toml
[[agents.custom]]
name = "My Agent"
repo = "owner/repo"
binary = "my-agent"
version_command = ["--version"]

See Custom Agents for the full reference.

Benchmarks Tab

Benchmarks tab screenshot

Quick Sort (press again to toggle direction)

Key Action
1 Sort by Intelligence index
2 Sort by Release date
3 Sort by Speed (tok/s)

Filters

Key Action
4 Cycle source filter (All / Open / Closed)
5 Cycle region filter (US / China / Europe / ...)
6 Cycle type filter (Startup / Big Tech / Research)
7 Cycle reasoning filter (All / Reasoning / Non-reasoning)

Sort

Key Action
s Open sort picker popup
S Toggle sort direction (asc/desc)

Compare Mode

Key Action
Space Toggle model selection (max 8)
v Cycle view (H2H table → Scatter → Radar)
t Toggle left panel (Models / Creators)
d Show detail overlay (H2H view)
c Clear all selections
h / l Switch focus (List / Compare)
j / k Scroll H2H table (when Compare focused)
x / y Cycle scatter plot axes
a Cycle radar chart preset

Actions

Key Action
o Open Artificial Analysis page

CLI Usage

Agents CLI

Track AI coding agent releases from the command line. Install the agents alias during setup, or use models agents as a fallback.

# Create the agents alias (one-time setup)
mkdir -p ~/.local/bin
ln -s $(which models) ~/.local/bin/agents

Note: Make sure ~/.local/bin is in your PATH. For example, in bash/zsh add export PATH="$HOME/.local/bin:$PATH" to your shell config, or in fish run fish_add_path ~/.local/bin.

Status table

agents status

┌──────────────┬─────┬───────────┬──────────┬─────────┬───────────────┐
│ Tool         │ 24h │ Installed │ Latest   │ Updated │ Freq.         │
├──────────────┼─────┼───────────┼──────────┼─────────┼───────────────┤
│ Claude Code  │ ✓   │ 2.1.42    │ 2.1.42   │ 1d ago  │ ~1d           │
│ OpenAI Codex │ ✓   │ 0.92.0    │ 0.92.0   │ 6h ago  │ ~3h           │
│ Goose        │     │ —         │ 1.0.20   │ 3d ago  │ ~2d           │
└──────────────┴─────┴───────────┴──────────┴─────────┴───────────────┘

View changelogs

agents claude              # Latest changelog (by CLI binary name)
agents claude-code         # By agent ID
agents claude --version 1.0.170  # Specific version

Browse versions

agents claude --list       # List all versions
agents claude --pick       # Interactive fuzzy picker

Other commands

agents latest              # All releases from last 24 hours
agents list-sources        # List all available agents
agents claude --web        # Open GitHub releases in browser

Models CLI

List providers

models list providers

List models

# All models
models list models

# Models from a specific provider
models list models anthropic

Show model details

models show claude-opus-4-5-20251101

Claude Opus 4.5
===============

ID:          claude-opus-4-5-20251101
Provider:    Anthropic (anthropic)
Family:      claude-opus

Limits
------
Context:     200k tokens
Max Output:  64k tokens

Pricing (per million tokens)
----------------------------
Input:       $5.00
Output:      $25.00
Cache Read:  $0.50
Cache Write: $6.25

Capabilities
------------
Reasoning:   Yes
Tool Use:    Yes
Attachments: Yes
Modalities:  text, image, pdf -> text

Metadata
--------
Released:    2025-11-01
Updated:     2025-11-01
Knowledge:   2025-03-31
Open Weights: No

Search models

models search "gpt-4"
models search "claude opus"

JSON output

All model commands support --json for scripting:

models list providers --json
models show claude-opus-4-5 --json
models search "llama" --json

Data Sources

Lots of gratitude to the companies who do all the hard work! Shout out to the sources:

  • Model data: Fetched from models.dev, an open-source database of AI models maintained by SST
  • Benchmark data: Fetched from Artificial Analysis — quality indexes, benchmark scores, speed, and pricing for ~400 model entries
  • Agent data: Curated catalog in data/agents.json — contributions welcome!
  • GitHub data: Fetched from GitHub API (stars, releases, changelogs)

Roadmap

  • Nix flake — Nix packaging with a proper flake.lock for reproducible builds (PRs welcome!)

Contributing

Contributions are welcome! Please read the Contributing Guide before submitting a PR.

This project follows the Contributor Covenant Code of Conduct.

License

MIT