Hugging Face vs Together AI

Side-by-side comparison of Hugging Face and Together AI: pricing, features, API access, and community ratings.

AI comparison summary

TL;DR: Hugging Face is the dominant open-source ecosystem and model repository where you'll find the broadest selection of community models and datasets, ideal if you want maximum flexibility and self-hosting options. Together AI focuses on production performance with best-in-class inference speed and a full-stack managed platform, making it better suited for teams that prioritize deployment optimization and don't need to host infrastructure themselves. Choose Hugging Face for ecosystem breadth and open-source tooling, Together AI for managed performance and speed.

Hugging Face
Hugging Face

The GitHub of AI — host, share, and run models with 500K+ models, datasets, and Spaces.

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Together AI
Together AI

The AI Native Cloud — full-stack platform for inference, compute, and model shaping

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Category
AI infrastructure
AI infrastructure
Pricing
Freemium
Freemium
Starting price
USD 20/mo
Free tier
Audience
Technical
Technical
API available
Open source
Self-hostable
Model provider
Community (various)
Open-source models (e.g., DeepSeek, Gemma, Llama, Qwen, GLM, MiniMax, Kimi)
Founded
2016
2022
Headquarters
New York, US
San Francisco, USA
Key strengths
  • ·Largest open-source ML model and dataset hub (2M+ models, 500k+ datasets)
  • ·Unified API for 45,000+ models from leading AI providers
  • ·Strong open-source ecosystem (Transformers, Diffusers, PEFT, TRL, etc.)
  • ·Enterprise-grade collaboration with SSO, audit logs, and access controls
  • ·Industry-leading inference speed (31%+ more TPS than next-fastest OSS engine)
  • ·Full-stack platform: inference, compute, fine-tuning, storage, and sandboxes
  • ·Cutting-edge in-house research (FlashAttention, ThunderKittens, ATLAS)
  • ·Broad open-source model library with serverless and dedicated deployment options