llm-price-tracker

Compares LLM API pricing across providers using models.dev JSON API and scraping.

4|Updated Jan 28, 2026
One-click install
npx skills add https://github.com/hwj123hwj/custom-skills --skill llm-price-tracker
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-price-tracker
Source: https://github.com/hwj123hwj/custom-skills/tree/main/skills/llm-price-tracker
Command: npx skills add https://github.com/hwj123hwj/custom-skills --skill llm-price-tracker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of comparing LLM API pricing across multiple providers, making it easier to find the best deals and stay informed about pricing changes.

Core Features & Use Cases

  • Price Comparison: Compare pricing for various LLM models across different providers.
  • Data Source Integration: Utilizes the models.dev JSON API and manual scraping for comprehensive data.
  • Use Case: When considering the adoption of an LLM API, use this Skill to compare the costs and capabilities of different models from various providers.

Quick Start

Use the llm-price-tracker skill to fetch and compare prices for all models from OpenAI and Anthropic.

Frequently Asked Questions about llm-price-tracker

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

FAQPage Schema
How do I compare LLM API pricing across multiple providers?

You can compare LLM API pricing across 147+ providers using this Skill by fetching data from the models.dev JSON API and manual scraping. It identifies price changes, new models, and providers to help you find the best deals.

What is the best way to track price changes for LLM models?

Tracking LLM model price changes is achieved by executing Python scripts that retrieve and compare data via the models.dev JSON API. This approach identifies pricing updates and newly added models across various providers.

Do I need Python to compare LLM API costs with this approach?

Yes, you need Python and specific script execution to retrieve and compare LLM API costs. The process relies on Python scripts to fetch data from the models.dev JSON API and perform manual scraping.

How does data scraping work for fetching LLM model prices?

Data scraping for LLM model prices works by executing Python scripts that utilize the models.dev JSON API alongside manual scraping techniques. These scripts parse the retrieved data to compare costs and capabilities across 147+ providers.

Can I use pdfplumber and pypdf to parse LLM API pricing data?

Yes, you can use pdfplumber and pypdf to parse LLM API pricing data. The process utilizes these dependencies for data parsing and manipulation when handling the retrieved pricing information.