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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.

Dify.ai logo
Dify.ai
✓ verifiedFreemium

Open-source platform to build, deploy and monitor agentic AI workflows and RAG apps, with cloud, self-host and enterprise options.

1.1M visits/mo
Atlas Cloud logo
Atlas Cloud
✓ verifiedPaid

Unified pay-per-use API serving 400+ multimodal AI models (image, video, audio, 3D, LLM) through one OpenAI-compatible key.

958K visits/mo
Lightning  AI logo
Lightning AI
✓ verifiedFreemium

Cloud platform from the makers of PyTorch Lightning for building, training and deploying AI in browser-based GPU Studios.

467K visits/mo3.8K saves
Pricing
Sandbox: Free (200 message credits)
Professional: $590/workspace/year
Team: $1,590/workspace/year
Seedance 2.0 video: from $0.09/sec
GPT Image 2: from $0.009/image
Nano Banana 2: from $0.04/image

No public pricing

Core features
  • Visual workflow studio for agents
  • RAG knowledge pipelines
  • Agent runtime with tools and memory
  • Marketplace of models and plugins
  • Publish as app, API or MCP tool
  • Logging, analytics and monitoring
  • 400+ AI models via one unified API
  • Multimodal coverage: image, video, audio, 3D, LLM
  • On-demand, pay-per-use pricing
  • Day-0 access to new state-of-the-art models
  • OpenAI-compatible single key
  • SOC 2 and HIPAA compliance, 99.99% uptime
  • Browser-based Lightning Studios with on-demand GPUs
  • PyTorch Lightning training framework
  • Model training, fine-tuning and deployment
  • Collaborative, shareable ML environments
  • Scalable multi-GPU/multi-node compute
Use cases
  • Building AI agents and chatbots
  • Creating RAG-based knowledge apps
  • Deploying LLM apps at enterprise scale
  • Integrate video and image generation
  • Access many LLMs through one API
  • Build multimodal AI applications
  • Batch generate and prototype cheaply
  • Prototype and train ML models in the cloud
  • Fine-tune and deploy foundation models
  • Run reproducible AI experiments collaboratively
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