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aidex

v0.0.7

Published

Get quick insights for all major AI models like GPT, Claude, Gemini, and more! đź§ 

Readme

aidex

llmdex Cover

A CLI tool that provides detailed information about AI language models, helping developers choose the right model for their needs.

Note: This project is now using the models.dev Database. Thanks for making it!

Usage

List models by popular providers

npx aidex --provider openai
npx aidex --provider anthropic
npx aidex --provider google

List all multimodal models that accept images as input:

npx aidex --input image --provider openai

Compare popular reasoning‑capable chat models:

npx aidex --compare "o3,opus4"

Find all models under $1 per million cache reads grouped by provider (note the additional --model filter which is required when using --group-by):

npx aidex --model gpt --group-by provider --sort-by cache_read_cost_per_token

Options (excerpt)

| Flag | Description | | ---------------------------------------------------------------- | ------------------------------------------------------------------------------------------------ | | --input <mod> | Require an input modality (text, image, audio, video). Repeat flag for multiple. | | --output <mod> | Filter by output modality. | | --reasoning | Show only models flagged as reasoning‑capable. | | --tool-call | Show only models that support function / tool calling. | | --vision | Alias for --input image (kept for backwards compatibility). | | --sort-by <field> | Any numeric field, e.g. input_cost_per_token, cache_read_cost_per_token, max_input_tokens. | | --sort-token | Sort by maximum input tokens (descending). | | --sort-cost | Sort by input cost per token (descending). | | --group-by <criteria> | type, provider, mode, series (requires --model or --provider flag). | | All previous flags (--model, --provider, etc.) still work. | |

✨ Emoji legend: 📷 image, 🔊 audio, 🎥 video, 📝 text.

Grouping Models

The --group-by option helps organise results into logical sections. It must be combined with either --model or --provider so that the search space is first narrowed before grouping.

Available grouping keys:

  • provider – AI providers (OpenAI, Anthropic, etc.)
  • type – Model capability buckets (Latest, Vision, etc.)
  • mode – Model mode (Chat, Embedding, Rerank, …)
  • series – Major model series (legacy vs latest, etc.)

Examples:

# Group every GPT-style model by provider and sort by cache-read cost
npx aidex --model gpt --group-by provider --sort-by cache_read_cost_per_token

# Show all OpenAI models grouped by type
npx aidex --provider openai --group-by type

# Combine convenience sort flags
npx aidex --mode chat --sort-cost --group-by mode

Links

Courses

See my other projects:

  • codefetch - Turn code into Markdown for LLMs with one simple terminal command
  • instructa - Instructa Projects

Credits

unjs - for bringing us the best javascript tooling system