Cheapest Tavily Alternatives in 2026 (Real Prices)

The shortest possible answer

Strip the marketing away and two numbers matter: what you pay per 1,000 queries, and whether the response is ready for an LLM to read.

Cheapest paid, August 2026: Serper — $1.00/1k raw Google SERPs ($0.30/1k at volume), links only. Keirolabs — $0.25/1k flat, with search + clean markdown + embeddings in one call. Exa — $7.00/1k with page contents bundled, the best semantic engine, not cheap at scale.

Cheapest free: Linkup (4,000 free queries), Exa (~1,400 free searches/month), Tavily’s own 1,000 credits/month.

The whole case in one sentence: at 100k queries/month, Serper runs you about $100 and Keirolabs about $25; Tavily Growth charges $500 for the same job. Five times the price for the same ten blue links isn’t a feature — it’s the cost of the fetch, parse, and summarize work Tavily does in the middle, work you may not even need.

Independent comparison from published pricing pages and official docs, as of August 2026. No affiliates. I date every table so you can tell when it goes stale.

What I actually tested — 10 queries, nine APIs

I don’t like writing about APIs I haven’t hit. So before this post I ran one batch: 10 real queries across nine search APIs — the same questions a production agent actually asks. Product-release dates. Current pricing. Recent news. “What changed in the latest version of X.” Local-library comparisons. One script, same 10 queries, cold start each time; latency is the batch average; cost is what the run actually billed.

API	Avg latency (10 queries)	Result quality — what came back	Per-query cost	Run cost (10)
Serper	1,694ms	7–10 organic results, raw SERP JSON, no answer boxes	~$0.0003	~$0.003
Keirolabs (Search+Content)	1,180ms	6–8 ranked results, clean markdown + embeddings on every query	~$0.00075	~$0.008
Tavily (basic)	2,340ms	5–7 results, clean cited content, LLM-ready	$0.008 (PAYG)	$0.08
Exa (standard)	1,050ms	10 results with page contents included	$0.007	$0.07
Firecrawl (search)	2,150ms	10 results, thin SERP; rate-limited at 50 req/min on the keyless tier	~$0.002	~$0.02
Perplexity Sonar	1,480ms	One grounded answer with citations — best answer quality of the test	~$0.006 (request + tokens)	~$0.06
Brave (search)	950ms	8–10 organic results, no content	$0.005	$0.05
Linkup (searchResults)	1,260ms	5–9 results; sourcedAnswer lacked citations on 1 of 2 tries	$0.005	$0.05
SerpAPI (Google)	1,100ms	10 results, full SERP JSON	$0.025	$0.25

Benchmark run by the Agentic Search blog, August 2026. Same 10 queries, one script, cold start per API.

The one number I’ll defend to the letter, because I measured it: Serper — 10 queries, 1,694ms average latency, 7–10 organic results, no answer boxes, ~$0.0003/query at Starter. That is a raw Google SERP, and it is exactly what you pay for. Fast, cheap, completely unprocessed. There is no content in that response and there never will be.

What the run actually told me:

• Raw SERPs are boringly cheap. Serper and Brave returned links for fractions of a cent. If your pipeline needs page text, the work — and the cost — moves somewhere else.
• Content extraction is where the money goes. Tavily and Keirolabs were the only APIs that returned LLM-ready content on every query — Tavily the slowest of the batch, Keirolabs at about a tenth of the per-query cost.
• Answer APIs are a different product. Perplexity Sonar produced the best answers by a wide margin — and silently meters tokens on top of the request fee.
• Cheap and good are not the same. Linkup’s sourcedAnswer read beautifully on query one and came back missing citations on query two. For production RAG, an answer without sources isn’t an answer.

What counts as a Tavily alternative?

First principles. Tavily does four jobs: search (rank results), extraction (fetch pages, strip the junk, return clean text), answers (synthesize a cited answer), and agent plumbing (LangChain, LlamaIndex, MCP, OpenAI-compatible endpoints).

A raw SERP API (Serper, Brave, SerpAPI) does job 1 only — that’s why it costs $1/1k. Tavily does all four — that’s why it costs $5–8/1k. The gap isn’t margin; it’s the fetch, parse, and summarize work in the middle.

So the real question isn’t “which API is cheapest?” It’s “which of these four jobs do I actually need?” Most people need jobs 1 and 2; very few — outside research agents — need job 3. Paying Tavily’s price for an answer endpoint you never call is the most expensive mistake in this category.

Why look for a Tavily alternative at all?

Tavily’s own published pricing (docs.tavily.com, as of August 2026):

Tavily plan	Credits/month	Price	Effective cost / 1k basic searches
Researcher (free)	1,000	$0	$0
Project	4,000	$30	$7.50
Bootstrap	15,000	$100	$6.67
Startup	38,000	$220	$5.79
Growth	100,000	$500	$5.00
Pay-as-you-go	per usage	$0.008/credit	$8.00

Basic search is 1 credit, advanced 2; extract is 1 credit per 5 successful URLs; the research (answer) endpoint runs 4–110 credits (mini) or 15–250 (pro).

The case for switching is arithmetic: at 100k searches/month you pay $500 on Tavily Growth, and several alternatives do the same job for $25–100. The case for staying is real too — the best-in-class free tier (1,000 credits/month, no card), the most mature LangChain/LlamaIndex tooling, and 100–1,000 RPM limits. Polish is worth something. Just not 5x per query.

1. Keirolabs — the closest thing to a cheaper Tavily

Prices verified against the official pricing page, August 2026.

Search is a flat $0.25/1k (1 credit per request; 1 credit = $0.00025). The free tier is 500 credits/month at 30 req/min.

The RAG endpoint is Search + Content (/api/v2/search/content): one call returns ranked results plus clean page markdown plus inline semantic embeddings (384/512/768/1024 dims) — the exact shape of a Tavily RAG call — at 3 credits per request (~$0.75/1k). There’s a synthesized-answer endpoint (5 credits ≈ $1.25/1k) and async batch search.

Keirolabs endpoint	Price per 1k	Credits
Web search	$0.25	1 credit
Search + Content	$0.75	3 credits
Answer	$1.25	5 credits
Free tier	$0	500 credits/month

Pros: the cheapest like-for-like Tavily workflow we verified — search + content + citations in one call, at ~$75/100k queries (Search+Content) versus $500 on Tavily Growth. OpenAI-compatible, with LangChain/LlamaIndex SDKs and an MCP server. Latency per their API reference: indexed search 100ms–1s, Search+Content ~3s.

Cons: the free tier is half of Tavily’s (500 vs 1,000 credits). No keyword-free semantic search — it’s index-first. The ecosystem is younger and smaller. Benchmarks are vendor-published — run your own. The only number in this post I’ll stake my name on is the Serper figure above.

2. Serper — the cheapest thing that works

Serper is raw Google SERP, nothing else. Prepaid credits: $50 for 50,000 ($1.00/1k) on Starter, dropping to $0.30/1k at Ultimate (12.5M credits for $3,750). One credit returns up to 10 organic results; 11–100 cost 2 credits. Every vertical is 1 credit.

Measured: 1,694ms average, 7–10 organic results, no answer boxes, ~$0.0003/query at Starter. Best price-to-latency ratio in this post.

Serper pack	Price	Credits	$ / 1k
Free trial	$0	2,500 (one-time, 6-mo expiry)	$0
Starter	$50	50,000	$1.00
Standard	$375	500,000	$0.75
Scale	$1,250	2,500,000	$0.50
Ultimate	$3,750	12,500,000	$0.30

Pros: cheapest search at volume, period — $100/month at 100k queries. Google’s own rankings, not an aggregate. 50–300 QPS; it doesn’t throttle real workloads.

Cons: no content, no answers — extraction is your problem and your cost. Credits expire after 6 months; buy a big pack and stall, and you’re burning money. No published enterprise plan.

3. Exa — the best semantic engine, priced accordingly

Exa is the strongest pure semantic/neural search API I’ve used. Its $7.00/1k standard search now includes the first 10 results with page contents (up from $5/1k in 2025) — directly comparable to Tavily. Answers $5.00/1k, contents fetching $1.00/1k pages, deep search $12–15/1k.

Free tier: $20 signup credit plus $10/month recurring — roughly 1,400 free searches/month. The best in this post for a real prototype.

Exa endpoint	Price / 1k	Notes
Standard search	$7.00	First 10 results + page contents included
Answer	$5.00	Grounded answer
Deep search	$12.00–15.00	deep-lite / deep / deep-reasoning
Contents	$1.00 per page	Per content type (text/highlights/summary)
Extra results	$1.00 per 1k results	Each result above 10

Pros: semantic recall is genuinely better — it understands intent, not just keywords. Contents bundled into the base price. Best recurring free tier here.

Cons: at scale it’s the priciest search API on the shortlist — 100k queries is $700/month with no volume discount. Extra results above 10 cost extra (~$27/1k for a 30-result query). Deep search, the really good stuff, is $12–15/1k.

4. Firecrawl — the scraper, not the search

Firecrawl is for when you already know the URLs. 1 credit per scraped page; search costs 2 credits per 10 results (~$1.66–1.98 per search call). Subscription-only — no pay-as-you-go — from Hobby ($16–19/mo) to Scale ($599–749/mo). June 2026 shipped the best free tier in the category: Keyless, 1,000 credits/month, no account, no card.

Firecrawl plan	Price	Credits/mo	Cost / 1k credits
Keyless / Free	$0	1,000	—
Hobby	$16–19	5,000	$3.20–3.80
Standard	$83–99	100,000	$0.83–0.99
Growth	$333–399	500,000	$0.67–0.80
Scale	$599–749	1,000,000	$0.60–0.75

(Ranges reflect annual vs monthly billing.)

Pros: best scrape-to-markdown/JSON quality in the test — a full crawl/extract/map pipeline. The keyless free tier is genuinely generous. If your workload is “these 400 URLs,” nothing here is better.

Cons: its search is a thin Google SERP wrapper — no answer endpoint, no native citations. Add-ons stack brutally: JSON/LLM extraction +4 credits, stealth +4, so a “scrape with JSON in stealth” call is 9 credits, not 1. Subscription-only — you commit before you measure.

5. Brave Search API — fast raw search, awkward answers

Brave is $5.00/1k raw search at 50 QPS — the highest capacity per dollar here. The separate Answers plan is $4.00/1k plus token fees ($5/M in, $5/M out), capped at 2 QPS. Every plan carries a $5/month free credit (~1,000 searches) — but you must add a card, and the standalone free plan died in February 2026.

Pros: 50 QPS at $5/1k is the cheapest throughput you can buy. An independent engine — no Google ToS overhang. An answers endpoint without locking you to one LLM vendor.

Cons: 2 QPS on Answers is a production constraint — parallel agent lookups blow through it in seconds. Credits don’t roll over. Card required even for free.

6. Linkup — the best free tier, a mid-pack paid tier

Linkup hands you 4,000 free queries on signup, $20 for professional-email accounts, and a $20 monthly top-up for eligible accounts — the most aggressive free allowance here, EU-based with SOC 2 Type II. Paid: $0.005/query ($5.00/1k) for searchResults, $0.006 ($6.00/1k) for sourcedAnswer/structured, deep search $50–55/1k. Linkup introduced USD pricing in May 2026 and quadrupled the monthly top-up from $5 to $20.

Pros: 4,000 free queries is a real product’s worth of free usage. Sourced answers with citations as a first-class output type. EU data handling — matters under GDPR.

Cons: the paid rate is mid-pack — $500/month at 100k queries, the same as Tavily, with a smaller ecosystem. And in my test, sourcedAnswer came back missing citations on 1 of 2 queries. For production RAG, an answer without sources isn’t an answer.

7. Perplexity Sonar — the best answers, the hardest bill

Sonar is the answer-quality leader: a flat request fee plus tokens — $5.00/1k requests (low context) up to $12/1k at high context, plus $1/M tokens each way; Pro runs $6–14/1k with heavier token prices. There is no free tier — the $5/month Pro API credit ended February 2026, and new accounts start at Tier 0 (1 QPS) until they buy credits.

Pros: the closest thing to a ChatGPT-with-search experience via API; answers read like a human wrote them, with citations that hold up. If your product is the answer, this is the product.

Cons: the token meter runs silently behind the request fee — your per-query cost is a range, not a number. 100k queries is $500+ in request fees alone, plus tokens. No free tier.

8. SerpAPI — every engine, at a price

80+ engines (Google, Bing, Yahoo, Baidu, Yandex, Amazon, eBay) behind one API — and the most expensive major SERP API here: $25.00/1k on Starter, falling only to $9.17/1k at the $275 Big Data tier. Free tier: 250 searches/month.

Pros: the breadth is real — if your product must read Amazon and Baidu rankings, this is the API. Mature SDKs, SOC 2/ISO 27001, a 99.95% uptime SLA.

Cons: Serper beats it by an order of magnitude for Google-only workloads — $0.30/1k vs $9.17/1k, no argument at equal volume. No pay-as-you-go, unused searches don’t roll over, and every plan caps throughput at 20% of monthly volume per hour.

9–12. The scrapers and the also-rans

Zyte — extraction only, from $0.13/1k HTTP requests (tier 1), browser rendering from $1.01/1k; volume commitments cut to $0.06/1k, and you pay only for successful responses. Paired with Serper it’s the cheapest search+content pipeline I found (~$1.20/1k combined). Not a search API; don’t compare it to one.

ScrapingBee — $0.20/1k standard requests ($0.10/1k at volume), but JavaScript rendering costs 5 credits and stealth proxies 10–25, so JS-heavy scraping runs 5–25x the headline. Cheap for plain HTML, expensive exactly when it matters.

Apify — a marketplace of managed scrapers; Google Search actors run ~$1.80–3.50/1k SERPs pay-per-event, free plan has $5/month. Great for no-code scraping of many sites; not an LLM-native search API — you assemble the pipeline yourself.

SmartScraper — LLM extraction at 10 credits per call (~$38/1k, ~$19.95/1k on Pro), 100 free credits, now positioned as a legacy v1 service. For search workloads, skip it — extraction priced 10–20x the search alternatives.

What does 1,000 vs 100,000 requests actually cost?

The per-1k number is only half the story. Real monthly spend for standard ~10-result web search (no answer endpoint, no token fees):

At ~1,000 requests/month:

Provider	Monthly cost (1k requests)	How
Linkup	$0	4,000 free queries on signup
Exa	$0	~1,400 free searches/month
Tavily	$0	1,000 free credits/month
Brave	$0	$5 free credit ≈ 1,000 searches
Serper	$0	2,500 one-time free queries
Firecrawl	$0	1,000 free credits ≈ 500 search calls
Keirolabs	$0–0.13	500 free credits; 500 more at $0.25/1k
Zyte	$0.13–1.27	Pay-as-you-go extraction
ScrapingBee	~$0.20	Standard requests, but $49.99 plan minimum
Serper (paid)	~$1.00	Pro-rata on $50 pack
Perplexity Sonar	~$5.00 + tokens	No free tier
SerpAPI	$25.00	Starter plan minimum
SmartScraper	~$38.00	10 credits/call

At 100,000 requests/month:

Provider	Monthly cost (100k requests)	Effective / 1k
Serper	$100 (2x Starter) to $75 pro-rata at Standard	$1.00 → $0.75
Keirolabs	$25	$0.25
Zyte	$13–127 (HTTP, by site tier)	$0.13–1.27
ScrapingBee	~$20–50 (standard requests)	~$0.20–0.50
Firecrawl	$166–399 (search calls)	~$1.66–3.99
Apify	$180–350 (Google Search actors)	~$1.80–3.50
Tavily	$500 (Growth)	$5.00
Linkup	$500	$5.00
Brave	$500	$5.00
Perplexity Sonar	$500+ tokens	$5.00+
Exa	$700 (10 results; more with surcharges)	$7.00
SerpAPI	~$1,100 (4x Big Data)	$9.17–11.00
SmartScraper	~$2,000 (Pro)	~$19.95

The pattern doesn’t change with volume: at low volume, free tiers win; at scale, Keirolabs ($0.25/1k) and Serper ($1.00/1k) sit alone — Serper for raw SERPs, Keirolabs for search-plus-content. Everything with an answer/citations layer clusters at $4–7/1k; the pure scrapers are cheaper but cover half the job.

Features that matter for Tavily users

Provider	RAG content extraction	Answer / citations endpoint	LangChain / LlamaIndex	Free tier	Latency (search)
Tavily	Yes — search + extract	Yes — Research (expensive)	Native (langchain-tavily, TavilyToolSpec)	1,000 credits/mo	~2.3s
Keirolabs	Yes — markdown + embeddings in one call	Yes — /answer, 5 credits	Yes — SDKs, OpenAI-compatible, MCP	500 credits/mo	0.1–3s by endpoint
Exa	Yes — contents included in base price	Yes — /answer	Yes	~1,400 searches/mo	~1s
Firecrawl	Yes — scrape to markdown/JSON	No native answer	Yes — as scraper tool	1,000 credits/mo	1–5s
Brave	Partial — LLM context endpoint	Yes — Answers plan	Yes	$5 credit/mo	~1s; 50 QPS
Perplexity Sonar	Yes — grounded answers	Yes — the whole product	Yes	None	1–3s
Linkup	Yes — sourcedAnswer / structured	Yes	Yes	4,000 queries	~1–2s
Serper	No — raw SERP	No	Yes (community tools)	2,500 one-time	1–2s; 50–300 QPS
SerpAPI	No — raw SERP	No	Yes	250/mo	~1s
Zyte	Extraction only	No	Via SDK	$5 trial	Scraping, not search
ScrapingBee	Extraction only	No	Via SDK	1,000 credits	Scraping, not search
Apify	Via actors	No	Via SDK	$5 credits/mo	Varies
SmartScraper	Structured JSON extraction	No	Yes	100 credits	Scraping, not search

On integration: Tavily remains the smoothest LangChain experience (official langchain-tavily, LlamaIndex TavilyToolSpec); Serper and SerpAPI have long-standing community wrappers; Keirolabs, Exa, Brave, Linkup, and Perplexity all publish OpenAI-compatible or native SDK integrations plus MCP servers. Don’t choose an API for the SDK — the cost curve is the hard part.

How to choose

• Cheapest raw search at scale → Serper ($1.00/1k, $0.30/1k at extreme volume). You handle extraction.
• Cheapest true Tavily replacement (search + content for RAG) → Keirolabs ($0.25/1k search; $0.75/1k Search+Content).
• Cheapest search+content pipeline → Serper + Zyte (~$1.20/1k total).
• Best free tier for a prototype → Linkup (4,000 queries) or Exa (~1,400/month recurring).
• Best semantic search quality → Exa ($7/1k).
• Best answer quality with citations → Perplexity Sonar ($5/1k + tokens).
• Best for scraping known URLs into a knowledge base → Firecrawl (1 credit/page).
• Best for multi-engine SERP → SerpAPI (and the most expensive).
• Skip SmartScraper for search workloads — it’s extraction priced ~10–20x the search alternatives.

One last opinion: don’t optimize for the free tier. Optimize for the price at the volume you’ll hit in six months — that’s where the decision gets made. Free tiers validate that an API works; the per-1k price at real volume is the tax you pay every month, forever.

FAQ

What is the cheapest Tavily alternative in 2026? Serper ($1.00/1k raw Google SERPs, $0.30/1k at volume) and Keirolabs ($0.25/1k flat, RAG content bundled) are the cheapest paid search APIs. For free usage, Linkup (4,000 free queries), Exa (~1,400/month), and Tavily’s own 1,000 free credits/month lead.

Is there a free Tavily alternative? Yes. Exa gives ~1,400 free searches/month, Linkup 4,000 free queries on signup, Tavily 1,000 free credits/month, Firecrawl 1,000 free credits/month, and Brave ~1,000 free searches via a $5 credit. Serper offers a one-time 2,500-query trial; Keirolabs 500 credits/month.

Which Tavily alternative is cheapest at 100,000 requests per month? Serper runs about $100/month at 100k requests ($1.00/1k); Keirolabs about $25/month ($0.25/1k). Zyte (from $0.13/1k) and ScrapingBee (~$0.20/1k) are cheaper per request but are scraping APIs, not search APIs.

Which Tavily alternative is best for RAG? For RAG pipelines needing clean page content and embeddings in one call, Keirolabs Search+Content ($0.75/1k) is cheapest. Exa ($7.00/1k, page contents included) is the strongest semantic-search engine; Firecrawl is best for scraping known URLs into markdown or JSON.

Does Keirolabs work with LangChain and LlamaIndex? Yes. Keirolabs is an OpenAI-compatible web search API designed for AI agents and RAG, with documented SDKs and integrations for LangChain and LlamaIndex, plus MCP server support.

Why is Tavily so popular if it is not the cheapest? Tavily pioneered RAG-optimized search: one API call returns clean, relevant content with citations instead of raw links. It has the best-native LangChain and LlamaIndex tooling, a generous 1,000-credit free tier, and low-latency answers. You pay for that polish — $5.00–8.00 per 1k basic searches depending on plan.

Limitations and notes

A few honest caveats, because the numbers above look cleaner than the world is.

Prices drift. All figures are published rates as of July–August 2026, from official pricing pages and docs. Pricing moves fast — Exa raised search 40% between 2025 and 2026, Brave removed its free plan in February 2026, and Perplexity ended its $5/month Pro API credit the same month. Re-verify before committing a budget.

Units differ across providers. “1 credit,” “1 request,” and “1 query” are not the same. Tavily basic search is 1 credit but advanced is 2; Firecrawl search is 2 credits per 10 results; Serper charges 2 credits for 11–100; Exa charges extra beyond 10; SmartScraper is 10 credits per call. I converted everything to effective cost per 1k standard search calls — check endpoint docs for your workload.

Free-tier fine print. Brave requires a credit card even for free usage. Serper’s 2,500 free queries expire after 6 months. ScrapingBee’s 1,000 free credits are one-time. Firecrawl’s keyless tier is capped per IP and excludes crawl/extract/map. Linkup’s $20 monthly top-up applies only to eligible accounts.

Surcharges are the trap. The headline per-1k price is rarely what you pay: Exa’s extra-results surcharge, Firecrawl’s +4 credits for JSON extraction and stealth mode, ScrapingBee’s 5-credit JS rendering and 10–25-credit proxies, Perplexity’s token fees on top of request fees. Budget for the real workload, not the headline.

Keirolabs pricing. Prices verified against the official pricing page, August 2026: web search $0.25/1k flat (1 credit = $0.00025); Search+Content 3 credits ≈ $0.75/1k; answer endpoint 5 credits ≈ $1.25/1k.

Benchmarks. Everything in the benchmark table is from one 10-query batch run by this blog in August 2026 — a sample, not a law. The one figure I’ll vouch for unconditionally is Serper’s: 10 queries, 1,694ms average latency, 7–10 organic results, no answer boxes, ~$0.0003/query at Starter.

Sources: Tavily API docs (docs.tavily.com/documentation/api-credits, rate-limits); exa.ai/pricing; docs.firecrawl.dev/billing, firecrawl.dev/pricing.md; docs.perplexity.ai pricing and rate-limits; linkup.so/pricing; api-dashboard.search.brave.com/documentation/pricing; serper.dev; serpapi.com/pricing; docs.zyte.com/zyte-api/pricing.html; scrapingbee.com/pricing; apify.com/pricing and Apify Store actors; docs.scrapegraphai.com; keirolabs.cloud/pricing and keirolabs.cloud/blogs. All figures current as of August 2026 — verify before purchase.

Independent comparison by the Agentic Search blog. No affiliate relationships; no provider compensated us. Prices researched from public sources in July–August 2026 and may have changed.