models-dev-query

Query the models.dev catalog for model specs, pricing, and provider API details.

Updated Mar 24, 2026
One-click install
npx skills add https://github.com/CNife/skills --skill models-dev-query
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: models-dev-query
Source: https://github.com/CNife/skills/tree/main/utility/models-dev-query
Command: npx skills add https://github.com/CNife/skills --skill models-dev-query

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the friction of looking up AI model specifications, pricing, and provider API details by querying the live models.dev catalog for you.

Core Features & Use Cases

  • Model Discovery: Find which models a provider supports and compare them by context window, capabilities, and release metadata.
  • Pricing Lookup: Retrieve input and output token costs, plus cache and reasoning pricing when available, directly from the catalog.
  • Provider Configuration: Get API base URLs, environment variables, and documentation links for setting up model providers in tools and agents.
  • Capability Analysis: Check features such as reasoning, tool calling, structured output, modalities, and open weights for targeted model selection.

Quick Start

Ask me to check a provider, compare models, or fetch pricing and API details from models.dev for your target use case.

Frequently Asked Questions about models-dev-query

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I look up AI model pricing and token costs for different providers?

Looking up AI model pricing involves querying the models.dev catalog to retrieve input and output token costs, including cache and reasoning pricing, directly from structured JSON data.

What is the best way to compare AI model specifications like context window and capabilities?

The best way to compare AI model specifications is querying the models.dev catalog to filter models by provider, context window size, release metadata, and supported capabilities.

How do I find API base URLs and environment variables for setting up AI model providers?

Finding API base URLs and environment variables for provider configuration requires querying the models.dev catalog to retrieve setup details and documentation links for your target provider.

Can I check which AI models support tool calling, reasoning, and structured output?

You can check which AI models support tool calling, reasoning, and structured output by performing capability filtering against the models.dev catalog for targeted model selection.

Does querying the models.dev catalog require live internet access?

Querying the models.dev catalog requires live catalog access to fetch structured JSON data, which is then processed using jq-based querying to retrieve model specs and pricing.

How do I discover multimodal AI models across different providers?

Discovering multimodal AI models across different providers involves querying the models.dev catalog to filter by supported modalities and compare models for your specific workflows.