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@openmodelsrun

OpenModels

Developer infrastructure for discovering and comparing LLM models and providers

OpenModels

Open infrastructure for discovering, comparing, and monitoring LLM models and inference providers.

OpenModels is a community-driven registry and intelligence platform for the modern AI inference ecosystem — models, providers, pricing, rate limits, latency, uptime, and capabilities.

What OpenModels covers

  • Models — canonical registry of LLM models with capabilities, context windows, modalities, licensing
  • Providers — 42+ inference providers with API base URLs, auth types, regions, free tiers, trial credits
  • Mappings — per-provider rate limits, pricing, and model availability
  • Telemetry — real-time latency (TTFT p50/p95/p99) and uptime monitoring across providers
  • Skills — ready-to-use AI agent prompts and workflows for Claude Code, Cursor, Kiro, Copilot and more
  • Insights — data-driven analysis and benchmarks based on live telemetry
  • CLI — command-line interface for querying the registry

Architecture

openmodels/     → public YAML registry (models, providers, mappings, schemas)
skills/         → community AI agent skills
docs/           → architecture, roadmap, contributing guides (docs.openmodels.run)

Platform

www.openmodels.run — search, compare, telemetry, skills, insights

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  1. openmodels openmodels Public

    Developer infrastructure for discovering and comparing LLM models and providers

    Python 2 1

  2. docs docs Public

    Documentation for OpenModels — the Open Source registry and comparison platform for LLM models and inference providers

    MDX 1

  3. cli cli Public

    CLI for the OpenModels – browse models, compare providers and check telemetry from terminal.

    TypeScript

  4. skills skills Public

    Community-maintained catalog of AI agent skills — structured, searchable and integrated with the OpenModels ecosystem.

    Python

  5. mcp mcp Public

    Open-source registry of MCP servers – structured metadata, tools, resources and install configs for the Model Context Protocol ecosystem.

    Python

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