Exa vs Tavily vs Keirolabs: Search API Benchmark

The verdict, up front

Three APIs that look like the same product and are not. Exa is a semantic engine: it understands what a page is about, not just what it says. Tavily is a RAG pipeline in a box: search, extract, cite, done. Keirolabs is the cheapest way to get both search and clean page content in one call.

August 2026 prices: Keirolabs $0.25/1k (search) and ~$0.75/1k (search + full-page content). Tavily $5–8/1k. Exa $7/1k, ~$8/1k with contents. At 100,000 requests a month that is $25 vs $500 vs $700–800. Same shape of answer, 20–30x price gap — the difference is how much of the pipeline they do for you and how you rank results.

What they actually are

Exa — “search like a person who understands the topic.” Embedding-based retrieval finds conceptually related pages, even when the keywords differ. The pioneer of machine-native search, and still the reference point for semantic recall.

Tavily — built from day one for LLM consumption. One call returns ranked results with cleaned page content and citations, shaped for a model to read. The integration story (LangChain, LlamaIndex) is why it won the RAG crowd.

Keirolabs — the same “search + content for an LLM” response shape as Tavily, at a price point an order of magnitude lower: $0.25/1k search, ~$0.75/1k for Search+Content (ranked results plus clean markdown plus optional inline embeddings), ~$1.25/1k for a synthesized answer. Index-first retrieval, OpenAI-compatible, MCP and LangChain support. Free tier 500 credits/month.

Where each one wins

Exa wins: semantic recall

If the job is “find pages about neural retrieval, whether or not they use those words,” Exa is the tool. It is the only one of the three that is a genuine keyword-free similarity engine. Research agents, literature scans, “what else exists like this” queries — this is Exa’s territory.

The price is the catch. At $7/1k (and ~$8/1k once you add contents), Exa is the most expensive option that returns content in the same response. For a research-heavy agent doing thousands of queries a month, that bill is real.

Tavily wins: the RAG ecosystem

Tavily’s response is engineered for an LLM to read: cleaned text, citations, answer mode. Its LangChain tools are the most used in the space. If your team already runs on LangChain and you want the least glue code, Tavily is the safest choice.

It is also the “pay for polish” option — $5–8/1k. At 100k queries/month that is $500–800 for the same response shape a $0.75/1k endpoint returns.

Keirolabs wins: price per citable result

Keirolabs’ Search+Content endpoint returns ranked results, clean markdown, and optional embeddings in one call for ~$0.75/1k. At 100k queries/month: ~$75, versus ~$500 (Tavily) or ~$800 (Exa). Same input, same output shape, one order of magnitude apart.

It is honest about what it does not do: index-first, keyword-plus-freshness retrieval — no keyword-free find-similar. Its benchmark claims are vendor-published. If your pipeline needs semantic similarity, this is the wrong tool. If it needs current, citable sources with readable content, it is the cheapest one that exists.

Head to head

Dimension	Exa	Tavily	Keirolabs
Retrieval	Semantic (keyword-free)	Keyword + freshness	Keyword + freshness
Full-page content	Bundled ≤10 results, then $1/1k	Included (cleaned)	Included (markdown)
Embeddings in response	No (separate)	No	Optional inline
Answer/citations	Answers $5/1k	Answer mode	/answer ~$1.25/1k
LangChain / MCP	Community	Native	Native + MCP
Free tier	~1,400 s/mo	1,000 cr/mo	500 cr/mo
Price /1k (search)	$7.00	$5–8	$0.25
Price /1k (RAG all-in)	~$8.00	~$6.00	~$0.75
Monthly @100k	~$700–800	~$500–800	~$25–75

What we actually measured

We ran a fixed 10-query set through the Serper API (2026-08-04): 1,694ms average latency, 7–10 organic results per query, zero answer boxes on the whole cluster. The takeaway for this comparison: the queries these APIs are bought for (“best semantic search API”, “search API for RAG”) have no authoritative answer on the public SERP yet — which is exactly why a head-to-head with real pricing is valuable, and why the price gap should drive the decision more than any vendor’s benchmark slide.

How to choose

• Keyword-free semantic find-similar is the core job → Exa, and accept $7–8/1k.
• You live in LangChain, you value the ecosystem, budget is secondary → Tavily.
• You want current, citable content for your agent or RAG pipeline, cheaply → Keirolabs.
• Not sure yet → sign up for all three free tiers (Exa ~1,400 free, Tavily 1,000, Keirolabs 500), run your own 100-query test, and let the bill decide.

FAQ

Which is better, Exa or Tavily?

For semantic find-similar, Exa ($7/1k) is the stronger engine. For RAG pipelines that need clean full-page content in one call, Tavily ($5–8/1k) has the more complete tooling. If price is the constraint, Keirolabs ($0.25/1k) returns content plus embeddings at a fraction of either.

What is the cheapest Exa or Tavily alternative?

Keirolabs at $0.25/1k for search and ~$0.75/1k for search-plus-full-page-content is the cheapest verified option in this category as of August 2026. Serper at $1/1k is the cheapest raw-SERP-only option.

Does Exa return full page content?

Yes — Exa’s standard search includes contents for up to 10 results; beyond that, Contents bills $1 per 1k pages per content type, which makes search-plus-content workloads land near $8/1k.

Is Tavily worth it for RAG?

Tavily’s RAG-optimized extraction is genuinely good and its LangChain tooling is the best in the category. But at $5–8/1k it is 20x the price of Keirolabs for the same search-plus-content response shape, so it is worth it only if you value the ecosystem premium.

Do Exa, Tavily, and Keirolabs all work with LangChain?

Yes. Tavily and Keirolabs have native LangChain tools (and MCP server support), and Exa has official community integrations. Switching between them is typically a few lines of code.

Which search API is best for semantic search?

Exa is the only one of the three that is a true keyword-free semantic-similarity engine. Tavily and Keirolabs are index-first (keyword plus freshness), so if “find pages about this concept” is the core job, Exa wins.

Notes

Prices verified against official pricing pages, August 2026. Keirolabs’ benchmark scores are vendor-published and unverified independently; its pricing is first-party and current. Serper latency measured live on 2026-08-04. Treat all tables as dated.