Perplexity alternatives: we ran open-source Vane with SearXNG and Qwen3-4B, and checked Google AI Mode, Brave Leo, Copilot, ChatGPT and Kagi on official pages.
•4 min read•AI Chat & Assistants
Verdict:To replace Perplexity's cited answers for free and keep control, run Vane with SearXNG: it worked for us with a 4B local model, and both answers came with source links. If you want zero setup, use Google AI Mode (no sign-in needed) or Brave Leo (free, no account). Kagi is the paid reference at $5 to $25 a month.
| Tool | Price | Platforms | Best for | Tested |
|---|---|---|---|---|
| Vane | Free (MIT); you supply the AI model | Self-hosted, Docker, Node.js | A self-hosted, cited answer engine you control | Historical test report |
| SearXNG | Free (AGPL-3.0) | Self-hosted, Docker, Python | A private metasearch engine, and the search backend Vane uses | Historical test report |
| Google AI Mode | Free for basic use; newer model needs Google AI Pro or Ultra | Web browser, Mobile | Zero-setup AI answers with links, usable without signing in | Docs only |
| Brave Search and Leo | Free, no account; Leo Premium price on Brave's upgrade page | Web browser, Brave browser | Private AI answers that use Brave Search | Docs only |
| Microsoft Copilot | Free with a Microsoft account; see Microsoft's plans page | Web browser | People already signed in to Microsoft | Docs only |
| ChatGPT search | Free plan includes web search per OpenAI; see pricing page for limits | Web browser, iOS, Android | A general chatbot that can also search the web | Docs only |
| Kagi | Trial 100 searches; Starter $5/month, Professional $10/month, Ultimate $25/month | Web browser | Paid, ad-free search with an AI assistant (reference only) | Docs only |
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Short answer: the closest free, open-source replacement for Perplexity's cited answers is Vane running on SearXNG. We built both and got sourced answers from a 4B local model, which is slower and sloppier than hosted AI but costs nothing per question. For no setup at all, try Google AI Mode or Brave Leo. Kagi is the paid reference. Related: Gemini alternatives and the best AI presentation maker.
A community-written Consumer Rights Wiki page says Perplexity cut Pro limits starting February 2026 without notice and reduced them again later. It is a volunteer-edited report built mostly on user posts, it cites no official announcement, and we could not confirm its figures. We could not load Perplexity's own pricing or help pages either, so this page quotes no Perplexity prices or limits. Check those pages for what applies to you today.
How we ordered the tools: the two we ran (Vane and SearXNG) come first, then zero-setup options, then the paid reference. None of these products is ours.
What it replaces: Perplexity's search-then-answer loop. The GitHub page calls it a privacy-focused AI answering engine that runs on your own hardware, under the MIT license, using SearXNG for web search. Supported model sources include Ollama, OpenAI, Claude, Gemini and Groq.
What we saw: we ran Vane 1.12.2 from source (its Docker image would not download here), pointed it at Ollama with Qwen3-4B, and used its search API in speed mode. A question about Ollama's license and platforms took about 57 seconds and returned a long answer citing 19 web sources. A question about the October 9 Gemini change took about 37 seconds with 15 sources, including press coverage, and correctly said free users are limited to Flash-Lite. Both answers carried numbered citations and source URLs. Quality was uneven: the first answer repeated a company detail from a low-quality page, which is the kind of thing you must check yourself with a 4B model.
What setup took: installing the Node packages needed the --legacy-peer-deps flag on npm, then a build, then adding Ollama as a provider in Vane's settings. Vane also ships a small built-in embedding model (all-MiniLM-L6-v2) so you do not need a separate embedding download. Budget about half an hour the first time, longer if your network blocks container registries as ours did.
What it lacks: no free hosted version, no mobile app, and answers depend on your model. Tavily and Exa search are listed as coming soon.
Get it: github.com/ItzCrazyKns/Vane.
What it replaces: the search half of Perplexity. SearXNG is a free metasearch engine that combines many search services and says it does not track or profile users. It is AGPL-3.0 licensed per the repository.
What we saw: we ran it from source in a Python 3.12 virtual environment with JSON output turned on and got results from the JSON API within seconds. Vane's README also asks for the Wolfram Alpha engine to be enabled, which we did.
What it lacks: it only gives links and snippets, not answers. Your queries still go to the underlying search engines, and the project suggests public instances or your own.
Get it: docs.searxng.org.
What it replaces: Perplexity for quick questions. Google's help page says AI Mode returns an AI response with links to web sources, and you can use it without signing in. A newer model inside it needs a Google AI Pro or Ultra plan and has daily limits. Not tested.
What it replaces: private AI answers. Brave says Leo is free with no account, uses Brave Search for current information, does not retain chats and stores history on your device. Leo Premium adds models and limits; its price is on Brave's upgrade page. These are Brave's own claims, and we did not test them.
What it replaces: an AI search assistant for people signed in to Microsoft. The free tier needs a Microsoft account and some features have usage limits. Not tested.
What it replaces: a general chatbot that can look things up. A search summary of OpenAI's Help Center says the free tier can search the web, with separate limits that change over time. We could not load the page directly. Not tested.
What it replaces: Perplexity for people who want paid, ad-free search. Kagi's pricing page lists a free trial of 100 searches, then Starter at $5 a month, Professional at $10 and Ultimate at $25, with Assistant modes varying by plan. Not tested.
If you can run a small server, Vane plus SearXNG is the cheapest path and keeps you in control of the AI model. If not, use Google AI Mode or Brave Leo and compare them against your Perplexity answers on five questions you actually ask. Keep a paid option like Kagi in mind only if you want to pay for search quality.
npm run start; SearXNG master with JSON enabled; Ollama 0.40.7 with Qwen3-4B./api/search; answers and source URLs saved.Vane and SearXNG were run from source, not the Docker image. Two questions only, one small model, speed mode, one machine, no screenshots (the display could not be captured). The 4B model made mistakes in its answers. We could not load Perplexity's own pricing or help pages, so we state no Perplexity prices or limits. ChatGPT search, Copilot, Google AI Mode, Brave and Kagi were not signed in to.
We could not verify it. Vane's README does not say so; the repository only carries a perplexica tag and some deploy-template names that use that word. Treat any rename claim as unconfirmed.
Vane's README recommends Docker with a bundled SearXNG, or a slim image if you already run SearXNG. It also describes a plain Node install. SearXNG must have JSON output and the Wolfram Alpha engine enabled. You add an AI provider such as Ollama, OpenAI, Claude, Gemini or Groq in the setup screen.
A community-written Consumer Rights Wiki entry says Perplexity reduced Pro limits from February 2026 without notice and again later. It is built mostly on user posts, cites no official announcement, and we could not verify the numbers. Check Perplexity's own pricing and help pages for current limits.
Vane is MIT-licensed and free. Running it costs your hardware, plus any API fees if you connect a paid model instead of a local one.
Vane, SearXNG and Ollama ran locally on our Mac with no account. Search queries still left the machine, because SearXNG forwards them to public search engines. We did not review the data terms of the hosted services; read each vendor's policy before sending sensitive questions.
The local run was done on October 21, 2026, and official pages were read the same day.
Kevin Fan is a SaaS founder. He runs Free Instead Of, which tracks free and open-source alternatives to paid software and checks each price and free-plan limit against the vendor's own pages.
Vane 1.12.2 (MIT, from the project's GitHub source) and SearXNG (master, AGPL-3.0, Python 3.12 virtual environment) were built and run locally on an Apple-silicon Mac (32 GB RAM, macOS 26.5.1, Node v20.20.2). Vane's Docker image could not be pulled because the Docker VM had no route to Docker Hub or ghcr.io, so we ran it from source instead. The chat model was Qwen3-4B (Q4_K_M, 2.5 GB) in Ollama 0.40.7, with Vane's built-in all-MiniLM-L6-v2 embeddings, speed mode, web source. We ran two questions through Vane's search API and saved the answers and source URLs. Google AI Mode, Brave Leo, Kagi and Microsoft Copilot were read from official pages checked 2026-10-21. ChatGPT search rests on a search-result summary of OpenAI's Help Center. We created no accounts.