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Hugging Face

Free plan

The central hub for open-source AI models

The largest model hub for hosting and sharing open-source machine learning models, datasets, and demos. It brings the entire ML ecosystem together in one place, from model downloads to Inference Endpoints and Spaces demo deployments.

Korean I/OAPI availableCommercial use OK
Edge

vs. similar tools: Its strength is being the de facto standard hub, offering hundreds of thousands of public models and datasets alongside inference and deployment infrastructure on a single platform.

Pricing

PlanMonthly priceLimits
Free$0/moHub 모델·데이터셋 무료 이용, 공개 저장소 무제한
PRO$9/mo사용자당, 더 높은 한도와 ZeroGPU 우선권 등
Team$20/mo사용자당, SSO·중앙 청구·감사 로그 포함

AI Score

Computed by AI from public info and internal criteria (not a measured benchmark)

91

Overall score

Category average +6
Model varietyKorean supportValue for moneyEase of useEcosystem / Integration

Not a measured benchmark — this is a score computed by AI based on information published on the web and internal evaluation criteria.

Popularity

Buzz and recognition within the same category (not a quality score)

78

Relative score within category

  • Domain authority5.8 / 10
  • Hacker News buzz4,964 pts

A buzz metric computed by normalizing public signals — GitHub stars, Hacker News mentions, domain authority, and more — per category. Popularity is a different axis from quality and can disadvantage new or niche tools, so we use it only as a supplementary indicator. Collected: 2026-05-31.

By AI score

  • 90
    OpenRouter

    Its strength is passing through provider pricing as-is while offering automatic fallback and model routing from a single key.

  • 89
    LangGraph

    Its advantage is graph-based state persistence that enables pause-and-resume, rollback, and audit trails, making it strong for production agents.

  • 88
    LiteLLM

    Its strength is the MIT-licensed core you can self-host, running virtual keys, budgets, and cost tracking without ever sending data outside your environment.

  • 87
    Ollama

    Its strength is pulling open models with a single command and running them as a local API server, enabling offline inference with no data leaving your machine.

  • 86
    Pinecone

    Its strength is a serverless model where you pay only for storage and read/write usage with no capacity to reserve, making it well suited to variable workloads.

Compare Hugging Face

Last updated: 2026-05-30

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