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Compare AI tools

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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Gamma
A
GitHub Copilot
B
Hugging Face
S
DeepSeek
S
TaglineAI slide decks that don't look AI-generated.Microsoft/GitHub's autocomplete. Deep VS Code + JetBrains integration.The GitHub of AI. Models, datasets, spaces — all in one.Chinese open-weight powerhouse. Crazy cheap, genuinely smart.
Categoryproductivitycodingdev platformchat
PricingFree + $10-$20/moFree (limited) + $10/mo Pro + $19/mo BusinessFree + $9-$20/mo + enterpriseFree web + ultra-cheap API (~$0.14/M input tokens)
Best forPitch decks, proposals, internal presentations — fast.Teams with GitHub already. Devs who don't want to change IDEs.Any ML/AI developer. Hobbyists exploring open models.Developers + cost-conscious builders. Anyone fine with self-hosting.
Strengths
  • Strong templates
  • Decks, docs, webpages
  • Doesn't look generic
  • Great enterprise story
  • Works in your existing IDE
  • Chat + autocomplete
  • Largest open-source AI model hub
  • Hosted inference via Spaces + Inference Endpoints
  • Great community
  • Open weights you can self-host
  • Strong reasoning + math
  • Near-free API pricing
  • DeepSeek-V3 / R1 are serious models
Weaknesses
  • Locked into Gamma's format
  • Export quality varies
  • Less agentic than Cursor/Claude Code
  • Model quality varies
  • Overwhelming for beginners
  • Hosted inference pricing varies
  • Data goes to servers in China — privacy concerns for business use
  • Chinese policy filters
  • English polish trails Western models
Kai's verdictA-tier. Best of a boring category. Use it for first drafts, then edit in Keynote if high-stakes.B-tier. Solid for autocomplete but the category moved past it. Pick Cursor unless you can't.S-tier infrastructure. The one platform every AI dev eventually uses.S-tier for price/performance. A-tier for consumer use. If you build apps, this is the budget pick.
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