Compare AI tools

	Hex A	Devin A	Replicate S	Perplexity S
Tagline	Modern data notebook with Magic AI assistant.	Cognition Labs' autonomous coding engineer.	Run any open-source AI model with an API call.	AI search done right. Cited answers, not chat theater.
Category	data	agents	dev platform	research
Pricing	Free + $28+/user/mo	$500/mo	Pay per second of compute	Free + $20/mo Pro
Best for	Data teams at startups + enterprises.	Engineering teams offloading tickets. Ops/platform work.	Developers using open-source models (Flux, SDXL, Whisper, etc).	Replacing Google for any question where you want a cited answer in seconds.
Strengths	SQL + Python + no-code in one notebook Magic AI writes queries + viz for you Team-grade collaboration	Works like an engineer — takes Slack tasks, opens PRs Handles multi-hour engineering work Reports back with what it did	Tens of thousands of models (image, video, audio, LLMs) One-line API for any model Cog framework for custom model deploy	Sources every claim Fast, current answers Pro Search runs multi-step research Spaces for persistent context
Weaknesses	Overkill for casual users Enterprise pricing	Expensive Best for well-scoped tasks Not for solo hobbyists	Cold starts on less-popular models Pricing gets real at scale	Not a general chatbot Answers can be shallow on complex topics
Kai's verdict	A-tier for data teams. S-tier if you already live in SQL + Python.	A-tier for the right use case. Not for solo devs. If you manage engineers, try one license.	S-tier for open-source model APIs. The default in this space.	S-tier for search. I use it before Google now. If you're still Googling everything, try this for a week.
Link	Open →	Open →	Open →	Open →