The AI community platform hosting 500K+ models, datasets, and Spaces for discovering and deploying ML solutions.

Best for: You get Public models and datasets, Community spaces, Basic inference
Best for: $9/mo gets you ZeroGPU access, Private spaces, Priority support
Best for: $20/mo gets you Private datasets, SSO, Audit logs
Hugging Face - The AI community platform hosting 500K+ models, datasets, and Spaces for discovering and deploying ML solutions. The free tier gets you Public models and datasets, Community spaces, Basic inference - a real plan, not a 14-day trial. Upgrading to Pro ($9/mo) unlocks ZeroGPU access and Private spaces. At $9/mo, Hugging Face undercuts the $18/mo category average by 50%. For comparison, OpenAI API starts at $free and ChatGPT at $20.
You get Public models and datasets, Community spaces, Basic inference. What's locked behind the paywall: zerogpu access, private spaces, priority support. If those matter, Pro at $9/mo is the next step. Good enough for solo use and evaluation.
$9/mo gets you ZeroGPU access, Private spaces, Priority support. The sweet spot for professionals who've maxed out the free plan and need ZeroGPU access, Private spaces.
$20/mo gets you Private datasets, SSO, Audit logs. 122% more than Pro - justified only if you need the extras.
40% below the large language models average
Hugging Face scores 4.5/5 and offers a free plan - that's a rare combination. The free tier with Public models and datasets and Community spaces is more than enough to validate whether it fits your workflow. Start free. Move to Pro ($9/mo) when ZeroGPU access becomes a need, not a want.
ML researchers & data scientists
Which plan fits you
Hugging Face scores 4.5/5 and offers a free plan - that's a rare combination. The free tier with Public models and datasets and Community spaces is more than enough to validate whether it fits your workflow. Start free. Move to Pro ($9/mo) when ZeroGPU access becomes a need, not a want.
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How does Hugging Face pricing compare?
See how Hugging Face's 3 pricing plans stack up against similar Large Language Models tools.