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Perplexica vs Milliseconds.ai

PerplexicaMilliseconds.ai

	Perplexica A self-hosted AI answer engine that searches the web with citations. Visit	Milliseconds.ai One API for fast, cheap classification, extraction, and yes or no decisions Visit
Votes	0	0
Pricing	Free	Freemium
Category	Research	Research
Tags	practical-ossopen-sourceself-hostedsearch	decision apitext classificationdata extractionstructured outputdocument parsingdeveloper tools
Best for	—	Developers adding classification or extraction to a pipeline Teams processing documents or support queues at volume Product features that need a quick structured answer
Pros	Gives direct answers with cited sources rather than just a list of links Self-hosted and privacy-focused, with web search handled by a bundled SearxNG instance Works with local models (Ollama) and major cloud providers (OpenAI, Claude, Gemini, Groq) Multiple search modes plus focused sources (web, academic, discussions) and image/video results File uploads for asking questions about your own documents, under a permissive MIT license	Returns structured data instead of prose Handles classification, extraction, scoring, and yes or no answers Accepts both text and images Listed at 0.04 US dollars per million input tokens with no output-token charge 125 million free input tokens per month on test keys, no card
Cons	Requires self-hosting with Docker and a working SearxNG setup, which is more effort than a hosted service Answer quality and cost depend on the LLM you connect; good results often mean paying a cloud provider or running capable local hardware The project was recently renamed to 'Vane', so docs, image names and URLs are in flux and can be confusing Authentication and some advanced features are still listed as upcoming rather than finished	Not built for open-ended generation or reasoning Hosted service with no self-hosting option Output quality depends on your labels and prompts Single model focused on decisions, not a general assistant Pricing and limits can change and should be verified

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