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Exa vs Tavily

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Entry price
Exa from $0.004/request, Tavily from $30/mo — different billing units, so no direct winner
Free plan
Both have one
Public API
Both have one
Higher Trust score
Exa — 94 vs 75 for Tavily
Best fit
Exa: Developers grounding RAG pipelines, chat assistants or coding agents in live web content · Tavily: Developers grounding LLM agents in fresh web results

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactExaTavily
CategoryAI Search & Answer EnginesWeb Scraping & Data Extraction
Pricing modelFreemiumFreemium
Starts at$0.004/request$30/mo
Public APIYesYes
Trust score94 / 10075 / 100
PlatformsAPI, WebAPI
CompanyExa Labs Inc.Tavily Inc. (Nebius Group)
Last verifiedOct 16, 2026Oct 29, 2026

What our research says

Exa

Exa is the search API to reach for when the consumer is a model rather than a person: it hands back page text and excerpts an LLM can use directly, and the Instant tier is fast enough to sit inside a chat turn. The pay-as-you-go pricing is cheap at the entry and transparent, but the menu is long, and the Deep and Agent modes can cost a hundred times a plain search, so a prototype that upgrades its search mode casually gets a surprising bill. It is not a product for anyone who wants a search box; there is no end-user app, only a dashboard and the API.

Pros

  • Returns full page text or relevant excerpts, so results are usable by a model without a second crawl
  • $10 of free credit every month with no card, enough to prototype on
  • Instant tier with roughly 180 ms median latency for in-conversation search
  • Deep search, Answer, Monitors, Websets and an Agent endpoint cover research jobs beyond one query
  • SOC 2 Type II, HIPAA with a BAA and zero data retention options for regulated buyers

Cons

  • Pricing has many line items: results beyond ten, summaries, content types and agent compute are each metered separately
  • Deep and Agent modes cost $12 to $1,000 per thousand requests, so mode choice drives the bill more than volume
  • Its own index is smaller than a general web engine's, so recall on obscure or very recent pages varies
  • Headquarters and founding details are not stated on the site

Tavily

Tavily is a sensible default for developers who need agents to search and read the live web without building scraping and ranking themselves. Teams with very high query volume, or that need full raw SERP data and control over sources, should price it against running their own search stack.

Pros

  • Search, extract, crawl, map and research behind one API key
  • Results come chunked and cleaned for model context
  • 1,000 free credits a month without a card
  • Built-in PII and prompt-injection filtering

Cons

  • Advanced requests consume more credits, which makes costs harder to predict
  • Requests stop outright when monthly credits run out on the free tier
  • Now owned by Nebius, so roadmap and terms may shift with the parent

Which one fits

Choose Exa if you need

  • Developers grounding RAG pipelines, chat assistants or coding agents in live web content
  • Teams that need structured lists of web entities, such as companies or papers, rather than ten blue links
  • Products that must cite sources, since results come with URLs and extracted passages

Choose Tavily if you need

  • Developers grounding LLM agents in fresh web results
  • RAG pipelines that need clean extracted page content
  • Prototypes that need web access on a free tier

Exa vs Tavily: the questions people ask

Is Exa cheaper than Tavily?

They charge in different units, so there is no like-for-like answer: Exa starts at $0.004/request, Tavily at $30/mo. Entry price is the lowest paid plan as we last verified it.

Does Exa or Tavily have a free tier?

Both: Exa has a free tier, and Tavily has a free tier.

Which has a public API, Exa or Tavily?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

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