Ai2 Asta vs Perplexity: pricing, features and which to choose

Ai2 Asta is a web-based scientific research assistant from the nonprofit Allen Institute for AI, launched publicly in 2025. Ai2 describes Asta as part of a broader initiative to build trustworthy agents for scientific work. The service combines scholarly search, cited report generation, dataset analysis, automated discovery, and theory generation. Its product page says the literature index includes more than 108 million abstracts and 12 million full-text papers. Asta targets researchers, students, analysts, instructors, and science communicators rather than general-purpose writing users. Ai2 does not publish funding figures, a founding date for the product, or a separate corporate entity for Asta. The hosted service runs on the web, and signed-in users can preserve questions and results.

Asta puts several research tasks into one browser workflow. Find papers searches its scholarly index, while Generate a report produces a cited synthesis that users can inspect and extend. Analyze data accepts structured files and returns explanations, visualizations, copyable code, assumptions, statistical tests, and a methods section. Follow-up prompts add analysis to the report while retaining prior work. AutoDiscovery runs experiments designed to surface patterns, and Theorizer retrieves source papers before generating candidate theories. Ai2 says theory runs usually take 20 to 30 minutes, while comprehensive runs can exceed an hour. Users must read the cited papers and check each claim because a generated theory is a research lead rather than a verified conclusion.

Asta's main limitation is the review burden attached to its most ambitious outputs. Ai2 says generated theories are not necessarily true, and its FAQ reports that about half of predictions had a later paper available for checking. Hosted users should avoid uploading sensitive or regulated datasets. Ai2 says raw datasets are deleted within seven days and are not used for model training, while prompts and interactions may be logged unless users opt out. Semantic Scholar is better for scholarly search and metadata APIs. Elicit is stronger for structured evidence review, and Consensus focuses on fast paper-based answers. Asta covers more exploratory analysis than those products. Researchers wanting free cited literature work with small-dataset exploration should pick Asta.

Perplexity is an AI answer engine founded in 2022 by Perplexity AI, Inc. It searches the web, synthesizes responses, and places inline citations beside claims. The service also includes file uploads, Projects, premium data sources, Deep Research, Perplexity Computer, and the Comet browser. Individual plans run from a free Standard tier through Pro and Max, while Education Pro serves verified students and educators. Enterprise Pro and Enterprise Max add organizational administration, shared knowledge tools, and different privacy terms. The product is therefore broader than a conventional search box, although its central use remains finding and explaining current information from linked web pages. Buyers should view it as a cloud research workspace whose value depends on current web access, citation checking, and plan limits. Perplexity does not publish a funding figure.

A typical session begins with a question in the web or app interface. Perplexity retrieves relevant web material, generates an answer, and places inline citations near related claims. Free users receive basic searches and limited Pro Searches. Paid users can select models, use Deep Research, upload files, search connected apps, and work in Projects. Deep Research performs iterative searches, reads documents, reasons about the next step, and writes a report that can be exported to PDF or a document. Computer extends this pattern into multi-step tasks. Comet adds an assistant inside a browser, where users can ask about pages and request actions such as arranging a meeting or sending an email. For buyers, this workflow suits research, briefing, and synthesis more directly than ordinary chat, but consequential outputs still require review before use.

Perplexity's main limitation is that citations still need checking, especially for consequential work, and consumer privacy settings differ from Enterprise and API arrangements. It is less suitable for offline research or self-hosting because the product is cloud based and its documents describe no self-hosted option. ChatGPT is broader for conversation, coding, and custom workflows, Claude is strong for long-form writing and document work, and Google Gemini is closely tied to Google's services. Perplexity is the better pick for people who prioritize current web answers with inline citations, included they can verify important claims and choose a plan whose usage limits fit their work. Choose ChatGPT for broader workflow flexibility, Claude for writing centered projects, or Gemini for Google connected work. For citation led web research, choose Perplexity.