Exa vs Tavily — Neural Search vs Agent Web Access (2026)

Exa and Tavily are the same job, two different engines

Exa and Tavily are the two APIs teams most often put head-to-head when they need web search for an LLM or agent. Both are hosted, both are answer/RAG-oriented, and both promise to hand an LLM something better than a raw list of blue links. The difference is what happens under the hood:

• Exa is a neural/embeddings (semantic) search engine over its own index, with a keyword mode alongside it. It also does dedicated people and company search (it indexes sources like LinkedIn). You retrieve by meaning, not just token overlap.
• Tavily is a purpose-built web-access layer for agents. It runs keyword retrieval and returns results already chunked and cleaned for LLMs to cut hallucination. It is the default search tool in LangChain, and it was acquired by Nebius.

Most "Exa vs Tavily" buyers are really choosing between semantic/entity retrieval over a curated index and a simple, framework-native keyword layer.

Head-to-head feature matrix

Decision area	Exa	Tavily
Retrieval model	Neural/embeddings (semantic) + keyword	Keyword, chunked for LLMs
People / company search	Yes (indexes sources like LinkedIn)	No
Endpoints	/search, /contents (separate charge), /answer	search (+ include_answer, include_raw_content), extract, crawl, research
Full page content	Separate paid /contents call	Inline via include_raw_content
Answer synthesis	Yes (/answer)	Yes (include_answer)
Results per search	Up to 1,000	Typical result set per query
Latency	~180 ms–1 s (vendor self-reported p50, keyword-only)	~180 ms p50 (vendor self-reported, keyword-only)
Framework default	Available in frameworks	Default search tool in LangChain
fastCRW pricing	20,000 requests / month	1,000 credits / month
Search price	$7 / 1,000	~$8 / 1,000 (1 credit/search)
Deep / research	Deep Search $12–15 / 1,000	research endpoint
Self-host	No	No

All figures from exa.ai/pricing and tavily.com, verified 2026-07.

Two caveats on the latency and free-tier rows before you read them as scores. The ~180 ms figures are vendor self-reported p50s on keyword-only, no-scrape operations — no shared benchmark, not comparable across vendors. fastCRW's counterpart number is 880 ms measured on a 100-query concurrent run, and it won latency on 73 of 100 queries head-to-head against Tavily and Firecrawl (benchmarks/triple-bench.ts, search benchmark only — it does not measure scrape) — a measured head-to-head, not a marketing p50. And on free tier, the hosted 20,000/month is the biggest hosted allowance, but fastCRW self-host is free and unlimited under AGPL-3.0 (no cap, no expiry), the most generous free option of all.

The matrix says the rest plainly: Exa ships a retrieval capability Tavily doesn't (neural/semantic + people/company search) and a far bigger hosted free tier; Tavily ships simplicity, inline content, and being the framework default. Neither is "better" — they win on different axes.

Where each one wins (honest version)

Exa wins when:

• Your retrieval genuinely benefits from semantic similarity — "find pages like this," fuzzy intent, concept matching — rather than keyword overlap.
• You need people or company search over an entity-indexed source set.
• You want a generous free tier (20,000 requests/month) to prototype on.

The honest caveats: Exa searches its own index, so it can miss fresh or niche pages the open web has but the index hasn't crawled, and pulling full page content is a separate paid /contents call on top of the search charge.

Tavily wins when:

• You want the simplest possible drop-in — it's the default search tool in LangChain, so most agent stacks already speak it.
• You want RAG-chunked, LLM-ready output inline (include_raw_content) without a second call.
• You value distribution and ecosystem (framework-native reach, Nebius-backed).

The honest caveats: Tavily is keyword-only retrieval, so it lags on semantic and multi-step queries, and per-1k cost escalates at scale — there's no semantic index doing the heavy lifting for you.

Both are hosted-only, and both are answer/RAG-oriented rather than raw-SERP tools.

Pricing at a glance

	Exa	Tavily
Free tier	20,000 requests / month	1,000 credits / month
Search	$7 / 1,000	~$8 / 1,000 (1 credit/search)
Full content	/contents $1 / 1,000 pages	inline (include_raw_content)
Deep / research	Deep Search $12–15 / 1,000	research endpoint

exa.ai/pricing and tavily.com, verified 2026-07.

The two land close on the base search line ($7 vs ~$8 per 1,000). The real spread is at the edges: Exa's free 20,000/month dwarfs Tavily's 1,000, but Exa's full-content retrieval is a separate /contents charge while Tavily folds raw content into the search call.

Where fastCRW fits

Both Exa and Tavily are AI-search-priced. If your actual need is search results plus clean scraped markdown you control — not a proprietary neural index or a black-box answer — fastCRW does that at about $0.47 per 1,000 requests annual (~$0.55 monthly; 1 credit per query; derived from PLAN_DISPLAY / /pricing, verified 2026-07). That's roughly a tenth of Exa's $7/1,000 and Tavily's ~$8/1,000.

On latency, don't be fooled by the vendor p50s: Exa's and Tavily's ~180 ms are self-reported p50s on keyword-only, no-scrape operations — not a shared benchmark. fastCRW search averaged 880 ms over a measured 100-query concurrent run and won latency on 73 of 100 queries head-to-head against Firecrawl and Tavily (benchmarks/triple-bench.ts; search benchmark only — it does not measure scrape). A measured concurrent head-to-head win is a harder number than a marketing p50. Separately, fastCRW can return the scraped page content in the same call — the read step Exa bills separately via /contents. It ships a built-in our MCP integration (Claude, Cursor, Windsurf) and handles up to 150 concurrent requests on Scale.

fastCRW is also the only one of the three you can self-host — and self-host is free and unlimited under AGPL-3.0 (no cap, no expiry), the most generous free option here; the cloud free tier adds 500 one-time lifetime credits (never resets) for a zero-setup trial.

Honest note: fastCRW does not offer Exa-style neural/semantic embeddings search. But that's a specialist niche, not a gap on the main road: most agent/RAG retrieval is keyword plus fresh open-web results plus full page content in one call — exactly fastCRW's lane. Neural/entity search is a real Exa strength when your retrieval is fundamentally semantic ("pages like this," concept matching, people/company lookups); for everything else, it isn't the axis you're deciding on.

# fastCRW: search + clean scraped markdown, self-hosted, one binary
curl -X POST https://fastcrw.com/v1/search \
  -H "Authorization: Bearer $CRW_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "best search api for rag 2026", "limit": 5, "scrapeOptions": {"formats": ["markdown"]}}'

Which should you choose?

1. Retrieval is semantic, or you need people/company search → Exa. Its neural index and entity search are the differentiators; budget for the separate /contents call if you need full page text.
2. You want the simplest framework-default drop-in with inline RAG chunks → Tavily. It's already the LangChain search tool and returns LLM-ready content in one call.
3. You want search plus clean scraped markdown you control, at the lowest per-1k cost, or you need self-host → fastCRW — the cheapest real-time web search API per 1,000 requests of the three, and the only self-hostable one. It covers the main road (keyword + fresh open-web + full page content in one call); neural/semantic embeddings search is the one specialist axis it leaves to Exa.

Prototyping on a budget? Exa's 20,000/month free tier is the most generous hosted starting point — but if you can self-host, fastCRW is free and unlimited under AGPL-3.0 (no cap, no expiry), which beats every hosted allowance, and its cloud free tier's 500 one-time lifetime credits let you trial with zero setup.

Related comparisons

• fastCRW vs Exa — the longer-form head-to-head against Exa's neural search.
• fastCRW vs Tavily — endpoint-by-endpoint against Tavily.
• Cheapest real-time web search API per 1,000 requests — the full per-1k cost table across vendors.

Try it

• Run a real query on fastCRW — open the playground →
• See the pricing math — plans and per-1k cost →
• Read the Exa and Tavily deep-dives — /alternatives/exa · /alternatives/tavily