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Side-by-side: what they do, what they cost, what Kai actually thinks. Pass up to 4 tools via ?tools=claude,chatgpt,gemini.
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TaglineVS Code fork that made AI coding actually work.The fastest AI inference in the world. Crazy low latency.Cognition Labs' autonomous coding engineer.Modern data notebook with Magic AI assistant.
CategoryCodingDev PlatformAgentsData
PricingFree + $20/mo Pro + $40/mo BusinessFree tier + pay-as-you-go API$500/moFree + $28+/user/mo
Best forDevelopers. Non-developers who want to ship working code.Developers who need sub-100ms LLM responses.Engineering teams offloading tickets. Ops/platform work.Data teams at startups + enterprises.
Strengths
  • Tab completion feels like mind-reading
  • Composer for multi-file edits
  • Runs Claude, GPT, Gemini — you pick
  • 500+ tokens/sec on Llama/Mixtral — feels instant
  • Custom LPU hardware
  • Great free tier
  • Works like an engineer — takes Slack tasks, opens PRs
  • Handles multi-hour engineering work
  • Reports back with what it did
  • SQL + Python + no-code in one notebook
  • Magic AI writes queries + viz for you
  • Team-grade collaboration
Weaknesses
  • Can feel overwhelming for non-coders
  • Expensive at scale
  • Open-weight models only (no Claude/GPT)
  • Less flexibility on custom configs
  • Expensive
  • Best for well-scoped tasks
  • Not for solo hobbyists
  • Overkill for casual users
  • Enterprise pricing
Kai's verdictS-tier for coding. If you write code of any kind, this pays back the $20 in a day.S-tier for speed. When latency is the product, start here.A-tier for the right use case. Not for solo devs. If you manage engineers, try one license.A-tier for data teams. S-tier if you already live in SQL + Python.
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