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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

122K visits/mo
37M visits/mo

Pay-per-use cloud API to run, fine-tune, and deploy thousands of open-source and proprietary AI models with one line of code.

1.3M visits/mo17K saves
Pricing
Basic: $0/month
Pro: $20/month
Team: $49/month

No public pricing

CPU (Small): $0.000025/sec ($0.09/hr)
Nvidia A100 80GB: $0.0014/sec ($5.04/hr)
Nvidia H100: $0.001525/sec ($5.49/hr)

Free trial available

Core features
  • Integration with Notion databases
  • Unlimited fields and submissions
  • Customizable form styling
  • Conditional logic and validation rules
  • Ready-made form templates
  • File uploads
  • Multi-page forms
  • Email, Slack, and Discord notifications
  • Submission editing
  • Form protection (password, captcha)
  • Access to millions of study materials
  • AI-powered summarization of notes
  • Quizzes and Flashcards for practice
  • Community sharing of study resources
  • One-line API calls to run community and proprietary AI models
  • Support for image, video, speech, and LLM generation models
  • Fine-tuning and custom model deployment via Cog
  • Per-second usage billing on shared or dedicated hardware
  • Automatic scaling for high-traffic private models
  • Thousands of community-published models with production APIs
Use cases
  • Guest blog submission forms
  • Event attendee check-in forms
  • Customer satisfaction surveys
  • Patient intake forms
  • Photography quotation requests
  • Equipment rental requests
  • Photo shoot permit requests
  • Finding study notes for specific courses
  • Preparing for exams using quizzes and flashcards
  • Sharing personal study materials with other students
  • Organizing and summarizing study notes with AI
  • Developers embedding image/video/speech generation into an app via API
  • Teams deploying and scaling their own fine-tuned models
  • Builders comparing outputs from multiple AI models in one playground
  • Companies avoiding GPU infrastructure management for ML inference
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