10 Best Deep Research AI Tools of 2026

Gemini Deep Research is the easiest serious research agent to start with, because it sits on the free Gemini plan and needs nothing more than a Google account. You pick Deep Research in the prompt bar, Gemini drafts a research plan, and you can edit it before clicking Start research. Google says it can browse up to hundreds of websites and, if you choose, your Gmail, Drive and Chat, and you can add uploaded files or NotebookLM notebooks. Deselecting Google Search limits a run to your own sources, which is useful for internal reviews. Reports usually take 5 to 10 minutes and can be turned into an Audio Overview or interactive content in Canvas. Google AI Plus at $4.99 a month doubles usage over the free plan and AI Pro at $19.99 quadruples it. The gaps are that Google does not publish how many reports each tier allows, and visuals such as charts inside reports are described for the Ultra plan.

ChatGPT deep research is the most controllable report writer on this list. You describe the outcome, choose websites or files if needed, and ChatGPT proposes a research plan that you can edit before it starts. Under Sites, you can restrict a run to the domains you list or simply prioritize them while still searching the wider web, which is valuable when an analyst only trusts regulators, filings or a short list of publishers. Deep research also reads uploaded files and supported connected apps such as Google Drive or SharePoint, using read actions only. Finished reports open in a fullscreen view with a table of contents, a sources used section and an activity history, and download as Markdown, Word or PDF. The free plan includes limited deep research, Go costs $8 a month in the US, and Plus at $20 a month expands it. The drawbacks are that OpenAI does not publish task counts per plan, and availability varies by country and app.

Perplexity built Deep Research for speed. When you pick it from the mode selector, Perplexity performs dozens of searches, reads hundreds of sources, reasons through what it finds and writes a report, and the company says most tasks finish in under 3 minutes. Reports can be exported to PDF or a document, or turned into a Perplexity Page to share with colleagues. Free users get a limited number of deep research answers each day, while Pro, at $17 a month billed annually, lists deep research alongside a choice of models from OpenAI, Google, Anthropic, xAI, Moonshot and Z.ai, expanded Computer access and 4,000 bonus credits. Max, at $167 a month billed annually, adds what Perplexity calls expert level research and the highest limits. The weaknesses for analysts are source control and transparency on limits: Perplexity does not document a way to restrict research to chosen domains, and it does not publish how many deep research runs Pro allows.

Claude Research is a good fit for teams whose answers sit partly in their own tools. Once you turn on web search and click Research, Claude runs several searches that build on each other, decides what to investigate next and works through open questions, returning answers with inline citations. On the web and in Claude Desktop it also searches Gmail, Google Calendar and Google Docs and can call tools from any connectors you have enabled, without asking for approval at each step. Research runs on Claude Opus 5.5 regardless of the chat model, and it is included on Pro, which costs $17 a month with annual billing or $20 monthly, as well as Max, Ultra, Team and Enterprise. The limits are worth knowing: there is no research on the free plan, mobile research skips connectors silently, local MCP servers in Claude Desktop are not used, and research sessions consume the same usage allowance as chats, only faster.

Elicit applies the deep research pattern to scholarly papers rather than web pages. You start with the Report option, refine your question, choose a General Review, 1-Page Overview or Research Gap Analysis template, and pick a fast, balanced or comprehensive depth where your plan allows. Elicit then runs a rapid review: it searches more than 138 million papers, defines screening criteria from your question, filters the results, decides which data to extract from each included paper and writes a report with supporting quotes and reasoning. You can follow the steps in a sidebar or leave and get an email when it is done. The free Basic plan includes limited Research Reports, Plus costs $11 per user a month billed as $132 a year, and Pro at $39 adds 5x usage and the ability to edit earlier steps such as screening criteria. It will not help with market or news questions, and Elicit shows more than one price set on its pricing page.

Kimi Deep Research, from Moonshot AI, stands out for what it hands back. After you enter a topic and optionally upload files, Kimi asks clarifying questions and maps a research plan, then runs dozens of searches across the open web and professional data, including news outlets, government sources, academic publications, company databases and live financial data. It shows its queries, reasoning steps and fetched URLs as it works, and the result can be a Markdown report, PDF, Word document, PowerPoint deck, Excel sheet or interactive HTML page. Follow-up turns build on the same sources rather than starting over. Deep research is on the free plan with a monthly token allowance, and Plus costs $15 a month billed annually, or $19 monthly, with more agent credits and two concurrent tasks. Kimi meters research by tokens rather than queries, which makes costs for long runs harder to predict, and its feature page is published in Chinese.

Manus approaches deep research as a scale problem. Its Wide Research mode has a main agent break your request into many independent sub-tasks and hand each one to its own sub-agent, which runs with its own virtual machine, tools, internet access and a clean context. The main agent then gathers the results into a report or dataset. Manus argues that chat assistants degrade beyond 8 to 10 items as their context fills, and its examples include profiling 100 sneaker models and 250 NeurIPS researchers. That makes it well suited to analyst tasks such as profiling 50 competitors or benchmarking pricing across many markets, with spreadsheets as an output. The free plan gives 300 refresh credits a day and one concurrent task, and Pro starts at $20 a month, 17% less on annual billing, with 4,000 credits, 20 concurrent tasks and 20 scheduled automations. The catch is credit metering: a big parallel run can use credits quickly, and Manus does not publish a per-task cost.

Researcher is Microsoft's deep research agent, found under Agents in the Microsoft Copilot app. Microsoft positions it for complex, multi-step tasks: it takes longer than standard Copilot chat, draws on the web and on the files, emails, meetings and chats a user can already reach, and returns a structured report with sections, visuals and cited sources. It may ask clarifying questions first, and you can set the scope to workplace resources, the web or both. Because it runs inside Microsoft 365, it respects the permissions, policies and compliance settings a company already has, which is the main reason to choose it over a consumer research tool. The cost is the Microsoft 365 Copilot add-on at $30 per user a month paid yearly, or $31.50 a month on an annual commitment, on top of an eligible Microsoft 365 plan. That is the most expensive seat on this list for a single user, and Microsoft does not publish how many Researcher reports a seat allows.

Grok is the research assistant to reach for when the question depends on what people are saying right now. xAI says it searches the web and X live, so answers reflect current events rather than training data, and it returns live citations from sources across the web. Its multi-agent mode splits a hard question into sub-problems handled by parallel agents, shows each agent's reasoning so you can audit it, and merges the results into one cited answer. Grok also reads uploaded files and PDFs and works in more than 30 languages. It is free to try on the web and in the iOS and Android apps, and the plans page lists Plus, Premium, Super and Ultra tiers with rising usage, while xAI ties multi-agent reasoning to SuperGrok. For report-style deep research it trails the leaders: xAI's product page does not describe a dedicated research plan, long report view or export formats, and plan prices showed in local currency from our location.

You.com has moved its research technology into an API, which makes it the option for analysts who want to run deep research from a script, notebook or pipeline rather than a chat window. The Research API plans, searches repeatedly, reads full pages and cross-references before answering, and a single research_effort parameter sets the depth. Research Lite answers simple lookups in under 2 seconds for $12 per 1,000 calls, Standard costs $50, Deep handles questions spanning several sources in under 2 minutes for $100, Exhaustive verifies claims across dozens of sources for $450, and Frontier runs in background mode for $1,200 per 1,000 calls. A Finance Research API applies the same engine to earnings, benchmarking and 10-K analysis. The model is cheap per report at the deep levels compared with a seat for occasional use, but it needs engineering work, there is no app for a non-technical analyst, and there is no free allowance for research calls.