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Fix short description length for HF metadata
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metadata
title: Agentic LLM Price Comparisons
emoji: 🤖
colorFrom: blue
colorTo: green
sdk: static
pinned: false
short_description: 218 tool-calling LLMs analyzed by cost and context

Agentic LLM Price Comparison Dashboard

Interactive visualization dashboard analyzing 218 LLM models with tool-calling capabilities from OpenRouter's API.

Overview

This dashboard provides a comprehensive cost-effectiveness analysis of language models supporting tool calling - essential for:

  • Agentic AI systems
  • MCP (Model Context Protocol) implementations
  • Multi-tool orchestration workflows
  • Function calling and API integration

Features

  • Quadrant Analysis: Interactive scatter plot comparing cost vs context window size
  • Top Value Models: Best models by value score in each category
  • Distribution Charts: Context window and vendor analysis
  • Searchable Table: Complete dataset with filtering capabilities
  • Key Insights: Automated analysis of pricing trends and standout models

Data Source

  • Source: OpenRouter API
  • Snapshot Date: November 8, 2025
  • Models Analyzed: 218 with tool calling support
  • Analysis Repo: GitHub

Quadrant Framework

Models are categorized by:

  • Cost per token: Economic efficiency for production deployment
  • Context window: Capability for complex, long-form tasks

This creates four strategic quadrants for model selection based on use case requirements.

Note on Pricing

All prices are point-in-time snapshots. For current pricing, always refer to OpenRouter's live API at openrouter.ai.


Built with Chart.js, PapaParse, and vanilla JavaScript. Hosted as a static Hugging Face Space.