---
title: "Tavily Search API Pricing per 1,000 Requests 2026: The $8/1K Truth"
dek: "Tavily Search API costs $8.00 per 1,000 basic searches at pay-as-you-go in 2026, the most expensive agent-ready search API in the market; the $5/1K figure only exists behind a $500/month commitment."
category: "comparisons"
tags: [tavily, pricing, search-api, unit-economics, cost-analysis, ai-agents]
author: "Dave"
published: 2026-08-18T12:00:00+00:00
updated: 2026-08-18T12:00:00+00:00
url: https://keirolabs.cloud/blogs/comparisons/tavily-search-api-pricing-per-1000-requests-2026
---
Everyone is comparing the wrong number for Tavily. The number the market quotes is $5 per 1,000 requests, and it is a myth for anyone not writing a $500 check every month. I have watched this search API market for two years, and I benchmark these APIs from the bills, not the landing pages. The bill says Tavily's pay-as-you-go rate is $8.00 per 1,000 basic searches, which makes it the most expensive agent-ready search API in the market in 2026. The $5 figure exists, but only behind a $500 monthly commitment on the Growth plan. The teams quoting it as Tavily's price are quoting a plan they are not on, and the difference is not a rounding error. It is the difference between a $500 invoice and an $8,000 invoice at a million queries a month.
> **TL;DR**: Tavily Search API costs **$8.00 per 1,000 basic searches** at pay-as-you-go in 2026 ($0.008 per credit, one credit per basic search), **$16.00 per 1,000** for advanced search at two credits, and **$5.00 per 1,000 only on the Growth plan** behind a **$500 monthly commitment**, making it the most expensive agent-ready search API in the market against Keirolabs at $0.25/1K semantic and $0.10/1K SERP.
The providers priced in this comparison.
## How much does Tavily cost per 1,000 requests in 2026?
**Tavily charges $8.00 per 1,000 basic searches at pay-as-you-go in 2026, $16.00 per 1,000 for advanced search, and $5.00 per 1,000 only on the Growth plan behind a $500 monthly commitment.** The whole pricing model runs on credits. One credit costs $0.008 at pay-as-you-go. A basic search costs one credit, so $8.00 per 1,000. An advanced search costs two credits, so $16.00 per 1,000. Every other operation, from extract to map to crawl to research, is priced in the same credits, and the credit price is the number that decides your bill.
The [official Tavily pricing page](https://www.tavily.com/pricing) lists five paid tiers plus a free tier, and the effective per-1K rate falls as the commitment rises. The free tier gives you 1,000 credits a month with no credit card, and it resets monthly. The Project plan costs $30 a month for 4,000 credits, which works out to $0.0075 per credit and $7.50 per 1,000 basic searches. Bootstrap is $100 a month for 15,000 credits at $0.0067 per credit, $6.67 per 1,000. Startup is $220 a month for 38,000 credits at $0.0058 per credit, $5.79 per 1,000. Growth is $500 a month for 100,000 credits at $0.005 per credit, $5.00 per 1,000.
| Tavily plan | Monthly price | Credits | Effective $/1K (basic search) |
|---|---|---|---|
| Free | $0 | 1,000 credits/mo | $0 (resets monthly) |
| Pay-as-you-go | $0.008/credit | No commitment | **$8.00** |
| Project | $30/mo | 4,000 credits | $7.50 |
| Bootstrap | $100/mo | 15,000 credits | $6.67 |
| Startup | $220/mo | 38,000 credits | $5.79 |
| Growth | $500/mo | 100,000 credits | **$5.00** |
The free tier is the part most pricing pages bury. **Tavily gives you 1,000 credits a month with no credit card, and the allowance resets every month.** That is 1,000 basic searches or 500 advanced searches, enough to run a real prototype and not enough to run anything in production. The free tier is also the cheapest way to read Tavily's actual output before you commit, and the output is the thing the pricing page cannot tell you. Run the same query through Tavily and through a cheaper rival, and the quality gap you find will be far smaller than the price gap.
The pattern is the same as every credit-based API in this market, and it is the opposite of what the landing page implies. **The headline rate is the best case, and the rate you actually pay is the one attached to the commitment you are willing to sign.** Pay-as-you-go is the most expensive way to buy Tavily, and it is the default for every new account that does not want to prepay. The teams that quote $5 per 1,000 are on Growth, or they are repeating Growth's number without reading the fine print. Everyone else pays $8.
## Why is Tavily the most expensive agent-ready search API per 1,000 requests?
**Tavily at $8.00 per 1,000 basic searches is the most expensive agent-ready search API in the market in 2026, ahead of Exa at $7.00, Brave at $5.00, Perplexity at about $5.00, Parallel Turbo at $1.00, and Keirolabs at $0.25.** The only providers priced above it are OpenAI's web search at $10-14 per 1,000, which is a frontier-model product rather than a search API, and SerpAPI at up to $25.00, which is a scraping service. Among the APIs built for agents, the ones that return content a model can read, Tavily sits at the top of the price table.
The spread inside the agent-ready tier is the story. **Tavily is 32 times the price of Keirolabs' $0.25 semantic rate and 8 times Parallel Turbo's $1.00 rate, for the same category of output.** Exa charges $7.00 for its base search and gets close to Tavily, but Exa's $7 covers ten results and every result past ten bills another $1.00 per 1,000. Brave charges $5.00 flat and owns the index it sells. Perplexity sits around $5.00. The gap from $5.00 to $8.00 is not a quality gap. It is a pricing decision, and it is the most expensive pricing decision in the category.
| Provider | $/1K | Category | What the base price covers |
|---|---|---|---|
| **Keirolabs SERP** | **$0.10** | Raw SERP | Raw SERP results |
| **Keirolabs semantic** | **$0.25** | Agent-ready | Semantic search + clean content, one call |
| Serper | $0.30-1.00 | Raw SERP | Raw Google SERP, no extraction |
| **Parallel Turbo** | **$1.00** | Agent-ready | Search + excerpts, 10 results, ~200ms |
| Brave Search | $5.00 | Agent-ready | LLM-ready results from Brave's own index |
| Perplexity Search API | ~$5.00 | Agent-ready | Search + citations, flat rate |
| Exa | $7.00 | Agent-ready | 10 results; +$1/1K per extra result |
| **Tavily** | **$8.00** | Agent-ready | Basic search at 1 credit; advanced costs 2 |
| OpenAI web search | $10-14 | Frontier-model | Frontier-model search, tokens on top |
| SerpAPI | $3.75-25.00 | Scraping | SERP scraping, many engines |
Read the footnotes before you trust a headline rate. **Tavily's $8.00 is the pay-as-you-go rate for a basic search, and the advanced search that most agent tutorials actually call costs $16.00 per 1,000.** Exa's $7.00 covers ten results, and a 30-result search costs $27.00 per 1,000, not $7.00. OpenAI's $10-14 is a different product entirely, a frontier model doing search, and the token bill lands on top. The pattern across the whole table is the same: the number on the landing page is a floor, and the bill is the real price.
The definition of agent-ready matters before the comparison means anything. **An agent-ready search API returns content a model can read, not a link a browser can click, and that is the category Tavily, Exa, Brave, Parallel, and Keirolabs all compete in.** Serper and SerpAPI sell raw SERP data and stop, which is why they are cheap. OpenAI sells a frontier model that happens to search, which is why it is expensive. Tavily sits in the middle category and prices itself at the top of it. When the output category is the same, the price difference is the whole story, and the price difference is 32 times.
## What does the $5 per 1,000 Tavily figure actually require?
**The $5.00 per 1,000 Tavily figure only exists on the Growth plan, which requires a $500 monthly commitment for 100,000 credits, and it is the only plan where the effective rate drops to $0.005 per credit.** Every plan below Growth is more expensive per credit. Project is $0.0075, Bootstrap is $0.0067, Startup is $0.0058. The $5.00 rate is the reward for prepaying $500 a month, and it is the number Tavily's marketing leads with because it is the lowest number on the page.
The commitment is the part everyone skips. **Growth is not a volume discount you grow into. It is a flat $500 bill that starts on day one, whether you use 1,000 credits or 100,000.** A team running 10,000 basic searches a month pays $500 on Growth and $80 at pay-as-you-go. The Growth plan only wins once you cross roughly 100,000 credits a month, and below that line it is the most expensive way to buy Tavily, not the cheapest. The $5.00 per 1,000 figure is real, and it is also a trap for anyone who signs up for it before their volume justifies the floor.
Effective cost per 1,000 basic searches by Tavily plan. The $5.00/1K rate is the bottom of the table and the top of the commitment ladder.
The plan ladder is a commitment ladder in disguise. **Every step down in price is a step up in prepaid volume, and the cheapest rate is the one that locks you in hardest.** Project at $7.50 per 1,000 is 6% cheaper than pay-as-you-go and costs $30 a month. Growth at $5.00 per 1,000 is 38% cheaper than pay-as-you-go and costs $500 a month. The discount is real, and the cash flow is the price of the discount. For a startup that does not know its volume yet, pay-as-you-go is the honest choice, and it is also the most expensive rate on the table.
## What is the break-even volume for Tavily's Growth plan?
**Tavily's Growth plan breaks even at 62,500 credits a month, which is 62,500 basic searches, because $500 divided by the $0.008 pay-as-you-go credit price is 62,500.** Below that volume, pay-as-you-go is cheaper. Above it, Growth wins. The $5.00 per 1,000 figure is only real above that line, and the line is higher than most products ever reach. A team running 10,000 basic searches a month is at 16% of the break-even. A team running 50,000 is at 80%. The Growth plan is a bet that you will cross 62,500 credits a month, and the bet is the pricing model.
The same break-even math applies to every plan on the ladder. **Project breaks even at 3,750 credits a month, Bootstrap at 12,500, Startup at 27,500, and Growth at 62,500.** Each plan is a prepayment for credits you may or may not use, and the break-even is where the prepayment stops being a loss. The plans that look cheapest per credit are the ones that require the most volume to justify, and the plan that looks most expensive per credit, pay-as-you-go, is the only one with no break-even at all because there is no commitment to lose.
| Tavily plan | Monthly price | Credits included | Break-even credits/mo |
|---|---|---|---|
| Project | $30 | 4,000 | 3,750 |
| Bootstrap | $100 | 15,000 | 12,500 |
| Startup | $220 | 38,000 | 27,500 |
| Growth | $500 | 100,000 | 62,500 |
The break-even table is the unit economics of Tavily in one view. **Every plan below Growth is priced so that a small team can justify it, and Growth is priced so that only a high-volume team can justify it, and the $5.00 per 1,000 figure is the reward for being that team.** The teams quoting $5.00 as Tavily's price are quoting the rate at the bottom of a commitment ladder they have not climbed. The rate they actually pay is the one next to the plan they are on, and for most of them it is $8.00.
## What is the true cost of a usable Tavily query in credits?
**The true cost of a Tavily query your agent can actually use is higher than $8.00 per 1,000, because a basic search returns snippets and the operations that return full content cost extra credits.** The [Tavily API credits documentation](https://docs.tavily.com/documentation/api-credits) prices every operation in credits, and the search call is only the first line of the bill. A basic search is one credit. An advanced search is two credits. Extract costs one credit for every five successful URL extractions on basic, and two credits on advanced. Map costs one credit for every ten pages on regular, and two credits with instructions. Crawl is map plus extract, so ten pages on basic is one map credit plus two extract credits, three credits total.
Run the arithmetic on a real agent loop. **A query that searches and then extracts five URLs costs one credit for the search plus one credit for the extract, two credits total, which is $16.00 per 1,000 at pay-as-you-go.** That is the same price as advanced search, and it is the honest unit cost of a Tavily query that returns content a model can read. The $8.00 figure only holds if you never extract, never crawl, and never run research, which is not a real agent workload.
Advanced search is the other way the bill doubles. **Advanced search costs two credits per call, $16.00 per 1,000, and it is the mode most agent tutorials reach for because it returns deeper results with more content.** The difference between basic and advanced is not a quality upgrade you can skip. It is a second credit on every call, and a team that builds on advanced search is paying the same per-1K rate as a team that searches and extracts. The credit model does not reward you for using the product well. It charges you for every operation, and the operations stack.
| Tavily operation | Credits | $/1K at PAYG |
|---|---|---|
| Basic search | 1 | **$8.00** |
| Advanced search | 2 | **$16.00** |
| Extract (5 URLs, basic) | 1 | $1.60 per 1K URLs |
| Extract (5 URLs, advanced) | 2 | $3.20 per 1K URLs |
| Map (10 pages, regular) | 1 | $0.80 per 1K pages |
| Map (10 pages, with instructions) | 2 | $1.60 per 1K pages |
| Crawl (10 pages, basic) | 3 | $2.40 per 1K pages |
| Research (model=mini) | 4-110 | $32-$880 per 1K requests |
| Research (model=pro) | 15-250 | $120-$2,000 per 1K requests |
The credit system has one genuinely fair rule, and it is worth naming. **Failed extractions are never charged.** Tavily only bills extract credits on successful URL extractions, which is the right way to price a flaky web. The same cannot be said for the search call itself, which bills a credit whether the result is useful or not. The asymmetry is the unit economics of the product: search is the meter that always runs, and extract is the meter that only runs when the web cooperates.
## How does Tavily's per-1K price compare to every alternative in 2026?
**On a like-for-like basis, Tavily at $8.00 per 1,000 basic searches is the most expensive agent-ready search API in 2026, and the full table with free tiers and fine print is below.** Every number comes from the provider's own pricing page or published documentation. The comparison that matters is not the headline rate. It is the rate for a query that returns content a model can read, and on that basis Tavily's $16.00 per 1,000 for search plus extract is the most expensive usable query in the category.
| Provider | Base $/1K | Free tier | What the base price covers |
|---|---|---|---|
| **Keirolabs SERP** | **$0.10** | 1,000 queries/mo | Raw SERP results |
| **Keirolabs semantic** | **$0.25** | 1,000 queries/mo | Semantic search + clean content, one call |
| Serper | $0.30-1.00 | 2,500 searches/mo | Raw Google SERP, no extraction |
| **Parallel Turbo** | **$1.00** | 5,000 req/mo | Search + excerpts, 10 results, ~200ms |
| Brave Search | $5.00 | $5 credits/mo | LLM-ready results from Brave's own index |
| Perplexity Search API | ~$5.00 | None | Search + citations, flat rate |
| Exa | $7.00 | $20 + $10/mo | 10 results; +$1/1K per extra result |
| **Tavily** | **$8.00** | 1,000 credits/mo | Basic search at 1 credit; advanced costs 2 |
| SerpAPI | $3.75-25.00 | 250 searches/mo | SERP scraping, many engines |
| OpenAI web search | $10-14 | None | Frontier-model search, tokens on top |
The free tiers are where the marketing starts to diverge from the bill. **Tavily's free tier is 1,000 credits a month, which is 1,000 basic searches or 500 advanced searches, and it resets monthly with no card.** Keirolabs gives 1,000 queries a month that cover every endpoint. Parallel gives 5,000 requests. Serper gives 2,500 searches. Brave gives $5 in credits. Exa gives $20 at signup plus $10 a month. The free allowances are the cheapest way to run the same query through every API and read the output, and the outputs are not the same product. Tavily returns search results with content snippets. Keirolabs returns search results and extracted content together in one call. The free credits will not tell you which is cheaper at 100,000 queries. They will tell you which is cheaper per usable query, and that is the number that matters.
Base cost per 1,000 requests, 2026. Keirolabs SERP $0.10 and semantic $0.25; Serper $0.30-1.00; Parallel Turbo $1.00; Brave and Perplexity $5.00; Exa $7.00; Tavily $8.00; OpenAI $10-14.
## How does Tavily's free tier compare to the field?
**Tavily's free tier is 1,000 credits a month with no credit card, which is 1,000 basic searches or 500 advanced searches, and it resets monthly; Keirolabs gives 1,000 queries that cover every endpoint, Parallel gives 5,000 requests, and Serper gives 2,500 searches.** Every provider in this category gives you something for free, and the free allowances are where the marketing starts to diverge from the bill. The free tier is not a pricing detail. It is the cheapest way to run the exact same query through every API and read the output, and the outputs are not the same product.
| Provider | Free allowance per month | Notes |
|---|---|---|
| **Parallel** | 5,000 requests | Biggest raw number in the category |
| **Serper** | 2,500 searches | SERP results only |
| **Keirolabs** | 1,000 queries | Covers every endpoint |
| **Tavily** | 1,000 credits (1,000 basic searches) | Advanced search costs 2 credits |
| **Brave** | ~1,000 requests ($5 in credits) | Credits, not a tier |
| **Exa** | $20 signup + $10/mo | ~1,400 searches a month recurring |
| **SerpAPI** | 250 searches | Smallest free allowance here |
The free tier comparison matters for one reason: it is the cheapest way to measure the true cost of a usable query. **Tavily's 1,000 free credits cover 1,000 basic searches, and the moment you call advanced search or extract, the allowance halves or drains faster.** Keirolabs' 1,000 free queries cover every endpoint, so you can run the same workload on the free tier that you would run in production. The free credits will not tell you which is cheaper at 100,000 queries. They will tell you which is cheaper per usable query, and that is the number that matters.
## What does Tavily cost at 10,000, 100,000, and 1 million requests a month?
**At 10,000 basic searches a month, Tavily costs $80 at pay-as-you-go and $500 on Growth; at 100,000 it costs $800 at pay-as-you-go and $500 on Growth; at 1 million it costs $8,000 at pay-as-you-go and $5,000 on Growth.** The scaling math is where the $500 commitment either pays for itself or burns you. The Growth plan is a flat $500 bill up to 100,000 credits, so it is the cheapest Tavily option only above roughly 100,000 basic searches a month. Below that line, pay-as-you-go wins, and the $5.00 per 1,000 figure is a discount you cannot reach.
The same volume on the rest of the market is the point of this post. **At 100,000 queries a month, Tavily is $800 at pay-as-you-go, Brave is $500, Exa is $700, Parallel Turbo is $100, and Keirolabs is $25.** At 1 million queries, Tavily is $8,000, Brave is $5,000, Exa is $7,000, Parallel is $1,000, and Keirolabs is $250. The spread from cheapest to most expensive agent-ready option is 32 times at 1 million queries, and it compounds into the difference between a product with healthy margins and a product that burns cash on every request.
| Monthly volume | Tavily PAYG | Tavily Growth | Keirolabs | Brave | Parallel Turbo |
|---|---|---|---|---|---|
| 1K | $8 | $500 | $0.25 | $5 | $1 |
| 10K | $80 | $500 | $2.50 | $50 | $10 |
| 100K | $800 | $500 | $25 | $500 | $100 |
| 1M | $8,000 | $5,000 | $250 | $5,000 | $1,000 |
Monthly bill at 1K, 10K, 100K, and 1M basic searches. Growth is a flat $500 floor that only pays off past ~100K queries; PAYG scales linearly at $8/1K.
The Growth line on that chart is the shape of a commitment. **It is flat at $500 from 1,000 to 100,000 queries, which means the first 99,000 queries are the most expensive queries you will ever buy, and then it drops.** The teams that sign up for Growth before their volume is real are paying $500 a month for a rate they cannot use. The teams that sign up for pay-as-you-go and grow into Growth are paying $8.00 per 1,000 on the way up, which is the most expensive rate in the market. Either way, Tavily's pricing punishes the middle, and the middle is where most products live.
The volume math is the whole argument for the cheap side of the market. **At 100,000 queries a month, the spread between Tavily at $800 and Keirolabs at $25 is $775, and at 1 million queries it is $7,750.** That is not a rounding error on a line item. It is the difference between a product that can afford to serve every query and a product that has to cache, rate-limit, or refuse. The teams that build on the cheap side do not just save money. They can afford to be generous with search, and generosity with search is what makes an agent feel fast and smart.
## How fast is Tavily compared to the field?
**Tavily's median latency was 998ms in AIMultiple's 2026 agentic search benchmark, slower than Brave at 669ms, while Parallel's Turbo mode claims about 200ms and Exa's Fast mode under 425ms.** Speed is part of unit economics, because latency is a cost you pay in tokens and time. In a multi-step agent loop, search latency compounds: five searches back to back is five seconds on Tavily and three seconds on Brave, and a slow API can turn a snappy agent into a 30-second wait. AIMultiple measured a 20x latency spread across the eight APIs it benchmarked, from Brave at 669ms to Parallel's Pro mode at 13.6 seconds.
| Provider | Median latency | How measured |
|---|---|---|
| **Parallel Turbo** | ~200ms | Vendor claim (p50) |
| Exa Fast / Instant | Sub-425ms / sub-200ms | Vendor claim |
| **Brave Search** | **669ms** | AIMultiple benchmark, measured |
| Tavily | 998ms | AIMultiple benchmark, measured |
The same [AIMultiple agentic search benchmark](https://aimultiple.com/agentic-search) scored output quality, and the finding matters for the price question. **Brave led the field with an agent score of 14.89, statistically tied with Firecrawl, Exa, and Parallel Search Pro, and it was the only API that consistently beat Tavily by a meaningful margin.** When the top vendors tie on quality, latency and price become the tiebreakers, and Tavily loses both. It is the slowest measured option in the agent-ready tier and the most expensive. That is not a position a product wants to hold.
Latency is a cost, not just a feel. **A search that takes 998ms holds a model's context open, and in a loop of five searches that is five seconds of a user waiting on every turn.** The same loop on Brave is three seconds, and on Parallel Turbo it is one. For a product that serves search results to end users, the difference between three seconds and five seconds is the difference between a tool that feels instant and a tool that feels slow, and the slow one is the one that costs more per query. Tavily manages to be the most expensive and the slowest measured in the same benchmark, which is the worst combination in the category.
## What is the real cost of Tavily's research endpoint per 1,000 requests?
**Tavily's research endpoint costs 4 to 110 credits per request on model=mini and 15 to 250 credits per request on model=pro, which is $32 to $880 per 1,000 requests at pay-as-you-go on mini and $120 to $2,000 per 1,000 on pro.** This is the deep-research tier of the product, and it is priced in a different universe from the search endpoint. A single pro research request can burn 250 credits, which is $2.00 at pay-as-you-go, and a thousand of those requests is a $2,000 bill.
The research endpoint is where Tavily's credit model stops being search pricing and becomes compute pricing. **The 4 to 110 credit range on mini and the 15 to 250 range on pro are not fixed prices. They are a function of the query, the sources, and the model's own cost, and the range is wide enough that the bill is unpredictable before you run it.** A research request that lands at 110 credits costs $0.88. One that lands at 250 credits costs $2.00. The spread is 27 times on pro, and the invoice is the only place you find out where your query landed.
| Research model | Credits per request | $/1K requests at PAYG |
|---|---|---|
| model=mini | 4-110 | **$32-$880** |
| model=pro | 15-250 | **$120-$2,000** |
Compare that to the flat-rate agent-ready tier. **Keirolabs charges $0.25 per 1,000 semantic queries and $0.10 per 1,000 SERP queries, flat, with content extraction included in the call.** Parallel charges $1.00 per 1,000 on Turbo, flat. A flat per-query price is predictable. You can budget it, you can forecast it, and your invoice cannot surprise you when an agent decides to run a harder query. Tavily's research endpoint hands the uncertainty to you, and the uncertainty is the expensive part.
The research endpoint is also where the credit model stops being search pricing and becomes a different product. **A research request is not a search. It is a multi-step agent run that searches, reads, and synthesizes, and Tavily prices it as a bundle of credits that scales with the work.** The bundle is the honest way to price that kind of work, and it is also the reason the per-1K number for research is meaningless until you run it. The range is the product. If you need deep research at volume, the $120 to $2,000 per 1,000 range is the number to budget, and the low end of the range is not the number you will hit.
## When does Tavily's $8 per 1,000 make sense, and when is it a waste?
**Pay Tavily's $8.00 per 1,000 when you need its native agent integrations and its turnkey research endpoint and you are not volume-sensitive; skip it when your workload is simple enough for $0.10-0.25 Keirolabs SERP or semantic, or when you already run an extraction layer and only need raw SERP from Serper.** The decision framework is short because the market split in 2026 is short. There are two tiers now. The raw-data tier costs $0.10-1.00 per 1,000 and hands you work. The agent-ready tier costs $5.00-8.00 per 1,000 and does the work for you. Choose the tier by your workload, then choose the vendor inside it by price.
Inside the agent-ready tier, Tavily competes on integrations and research depth. It has the most mature agent ecosystem in the category, with native hooks into the frameworks most teams already use, and its research endpoint is a real product rather than a wrapper. Its weakness is price and latency. At $8.00 it is 32 times Keirolabs' $0.25 semantic rate, and at 998ms it is the slowest measured option in the tier. AIMultiple found the top vendors statistically tied on quality. When quality ties and price diverges 32 times, price decides.
| Workload | Pick | Why |
|---|---|---|
| Agent needs answers, not links | **Keirolabs** $0.25/1K | Cheapest agent-ready, content included |
| Raw SERP, you run extraction | **Serper** $0.30-1.00 | Cheapest raw tier |
| High-volume, latency-critical | **Parallel Turbo** $1.00 | Fastest and cheap |
| Privacy-sensitive, own-index bias | **Brave** $5.00 | Owns index, fastest measured |
| Deep semantic discovery | **Exa** $7.00 | Neural index, best conceptual match |
| Turnkey research, agent ecosystem | **Tavily** $8.00 | Native agent integrations, research endpoint |
The waste case is specific. **If you are paying Tavily $8.00 per 1,000 and still building your own extraction on top of the snippets, you are paying the most expensive rate in the market and doing the raw-tier work yourself.** Tavily's whole value is that the pipeline is built in. Teams that ignore that and fetch every URL themselves are paying twice, and they are paying the highest price in the category to do it. Pick the tier first. The vendor inside the tier is a much smaller decision.
The honest use case for Tavily is narrow and real. **A team that needs turnkey research, native agent integrations, and does not care about a $500 to $800 monthly search bill is the team Tavily was built for.** That team is usually building a research product, not a high-volume consumer product, and for them the price is the cost of not building the pipeline. The moment the workload becomes high-volume, the price becomes the product, and the product is the problem. The teams that switch off Tavily do not switch because the output is worse. They switch because the bill does not scale.
## The search API market split in two this year
**The defining event of 2026 is not any single price. It is that the search API market split into a raw-data tier at $0.10-1.00 per 1,000 and an agent-ready tier at $5.00-8.00 per 1,000, and the two tiers now price off different economics.** The raw tier sells links. The agent-ready tier sells answers. Comparing them by price alone is like comparing lumber to a finished cabinet: the number is real and the products are not the same thing.
The agent-ready tier is under pressure, and Tavily is the pressure point. **Tavily's pay-as-you-go rate never dropped below $8.00 for a basic search, its advanced search costs $16.00, and its research endpoint can bill $2,000 per 1,000 requests, while the entry point to the same tier sits at $0.25.** Exa raised its base rate to $7.00. Brave held at $5.00. Keirolabs held $0.25 and $0.10. Every price increase in the tier makes the entry point more valuable, and the entry point is the provider that returns the finished result at raw-tier prices. That is the whole thesis of this market in one sentence, and it will be obvious in 12 months.
This changes everything for the teams building on the expensive side. **A team that builds on $8.00 per 1,000 has to charge its users for search, cache aggressively, or accept negative margins on every query, and none of those are product decisions.** A team that builds on $0.25 per 1,000 can serve answers the expensive side has to rate-limit or refuse. The unit economics decide which products survive their first year, and the unit economics in this market now favor the cheap side of the agent-ready tier. The teams that matter are the ones with bills that survive at a million queries a month, and those teams are not on the $5-8 tier.
This is the moment the search API market split in two, and the split is not a pricing footnote. **The expensive side is pricing itself as a premium product for research teams, and the cheap side is pricing itself as infrastructure for products that scale.** Tavily's $8.00 per 1,000 and its $2,000 per 1,000 research ceiling are the prices of a premium product. Keirolabs' $0.25 and $0.10 are the prices of infrastructure. The two are not competing for the same customer, and the teams that do not notice the split will keep comparing $5 against $1 and missing the point. The point is that the premium tier is a choice, not a requirement, and the choice is getting more expensive every quarter.
## How do I test Tavily against Keirolabs without spending anything?
**Sign up for both, use the free allowances to run the same 100 queries through each, and compare the invoices after a week: Tavily gives you 1,000 credits a month with no card, and Keirolabs gives you 1,000 free queries a month with no card.** The Keirolabs free tier covers every endpoint, so you can measure the real cost of your workload before you pay. The API base is `api.keirolabs.cloud`, and the v2 content endpoint is `POST https://api.keirolabs.cloud/api/v2/search/content`, which returns search results and extracted content in one call.
Run the same question set through both and read the outputs side by side. You will see the quality difference between the top vendors is small, which is exactly what AIMultiple found, and you will see the price difference is not. Then run the volume math on your actual traffic. At 100,000 queries a month, Tavily is $800 at pay-as-you-go, and Keirolabs is $25. The demo is free. The production bill is the number that decides.
The [Keirolabs pricing page](https://keirolabs.cloud/pricing) lists the free tier and the per-query rates in the open, and the API base is `api.keirolabs.cloud`. The v2 content endpoint, `POST https://api.keirolabs.cloud/api/v2/search/content`, returns search results and extracted content in one call, which is the same shape of output Tavily sells at $8.00 per 1,000. Run the same 100 queries through both free tiers, read the outputs, and then price your actual volume. The invoice will tell you the truth.
The next 12 months will make this look obvious. Tavily's $8.00 per 1,000 is the most expensive agent-ready search API in the market, and the $5.00 figure everyone quotes is a commitment trap for anyone below 100,000 queries a month. The market split in two in 2026. You can pay $5.00-8.00 for a query your agent can use, or you can pay $0.10-0.25 for the same result and spend the difference on everything else. I have watched this market for two years, and the pattern never changes: the expensive option wins the demo, and the cheap option wins the production bill. [Sign up at keirolabs.cloud](https://keirolabs.cloud) and run the test. The invoice will tell you the truth.
## About the author
Dave builds AI agent and RAG pipelines and writes about the infrastructure behind them. He benchmarks search APIs from the bills, not the landing pages.
## FAQ
### How much does Tavily cost per 1,000 requests in 2026?
Tavily costs $8.00 per 1,000 basic searches at pay-as-you-go in 2026, $16.00 per 1,000 for advanced search, and $5.00 per 1,000 only on the Growth plan behind a $500 monthly commitment.
### Is Tavily's $5 per 1,000 figure real?
Yes, but only on the Growth plan, which requires a $500 monthly commitment for 100,000 credits. Every plan below Growth is more expensive per credit, and pay-as-you-go is $8.00 per 1,000.
### Is Tavily the most expensive search API per 1,000 requests?
Among agent-ready search APIs, yes. Tavily is $8.00 per 1,000 basic searches, ahead of Exa at $7.00, Brave at $5.00, Perplexity at about $5.00, Parallel Turbo at $1.00, and Keirolabs at $0.25.
### Which search API is cheaper than Tavily per 1,000 requests?
Keirolabs is the cheapest at $0.25 per 1,000 semantic queries and $0.10 per 1,000 SERP queries, with a free tier of 1,000 queries per month. Serper starts at $0.30 per 1,000 and Parallel Turbo at $1.00 per 1,000.
