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TaglineRun any open-source AI model with an API call.The fastest AI inference in the world. Crazy low latency.Modern data notebook with Magic AI assistant.AI search done right. Cited answers, not chat theater.
Categorydev platformdev platformdataresearch
PricingPay per second of computeFree tier + pay-as-you-go APIFree + $28+/user/moFree + $20/mo Pro
Best forDevelopers using open-source models (Flux, SDXL, Whisper, etc).Developers who need sub-100ms LLM responses.Data teams at startups + enterprises.Replacing Google for any question where you want a cited answer in seconds.
Strengths
  • Tens of thousands of models (image, video, audio, LLMs)
  • One-line API for any model
  • Cog framework for custom model deploy
  • 500+ tokens/sec on Llama/Mixtral — feels instant
  • Custom LPU hardware
  • Great free tier
  • SQL + Python + no-code in one notebook
  • Magic AI writes queries + viz for you
  • Team-grade collaboration
  • Sources every claim
  • Fast, current answers
  • Pro Search runs multi-step research
  • Spaces for persistent context
Weaknesses
  • Cold starts on less-popular models
  • Pricing gets real at scale
  • Open-weight models only (no Claude/GPT)
  • Less flexibility on custom configs
  • Overkill for casual users
  • Enterprise pricing
  • Not a general chatbot
  • Answers can be shallow on complex topics
Kai's verdictS-tier for open-source model APIs. The default in this space.S-tier for speed. When latency is the product, start here.A-tier for data teams. S-tier if you already live in SQL + Python.S-tier for search. I use it before Google now. If you're still Googling everything, try this for a week.
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