--- title: "Brave Search API Pricing 2026: The True Cost per 1,000 Requests" dek: "Brave Search API costs $5.00 per 1,000 requests in 2026 with $5 in monthly free credits, but the true cost of a query your agent can use runs from $0.10 (Keirolabs) to $8 (Tavily)." category: "comparisons" tags: [brave, pricing, search-api, comparison, 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/brave-search-api-pricing-2026 --- Brave Search API pricing in 2026 is the most misunderstood number in the search API market, and I have watched this market for two years. Everyone quotes the headline, $5.00 per 1,000 requests, and concludes Brave is the expensive option. They are wrong. I benchmark these APIs from the bills, not the landing pages, and the bills tell a different story. Brave sits in the middle of the pack for a query your agent can actually use, it is faster than every serious rival, and it owns the index it sells. The real story is not Brave's price. It is that the market split in two this year, and the teams still comparing $5 against $1 are about to pay for it twice. > **TL;DR**: Brave Search API costs **$5.00 per 1,000 requests** in 2026 on the Search plan (plus $4/1K and $5 per million input and output tokens on the Answers plan), with **$5 in free credits every month**. That is mid-pack for agent-ready results: more than Parallel Turbo at $1/1K and Keirolabs at $0.25/1K semantic / $0.10/1K SERP, less than Tavily at $8/1K pay-as-you-go and Exa at $7/1K.

## How much does the Brave Search API cost per 1,000 requests in 2026? **Brave Search API charges $5.00 per 1,000 requests on the Search plan as of 2026, with $5 in free credits applied every month.** The Answers plan runs $4.00 per 1,000 queries plus $5.00 per million input tokens and $5.00 per million output tokens. Spellcheck and autosuggest cost $5.00 per 10,000 requests. Capacity on the Search plan is 50 queries per second. That is the entire official price table from the [Brave API dashboard](https://api-dashboard.search.brave.com/documentation/pricing). There is no volume discount on the Search plan, no committed-use tier, no pay-as-you-go rate that drops. One million requests a month on Brave Search costs $5,000, whether you are a hobbyist or an enterprise. The only discount Brave offers is the $5 of free credits that land on your account every month, which covers roughly the first 1,000 requests and then you pay full price. | Brave plan | Price | Capacity | What you get | |---|---|---|---| | Search | **$5.00 / 1,000 requests** | 50 QPS | Web results, human-readable URLs, text snippets, LLM-context results, news, video, images | | Answers | **$4.00 / 1,000 + $5 / 1M input + $5 / 1M output tokens** | 2 QPS | LLM-generated answers grounded on search, with citations and streaming | | Spellcheck | $5.00 / 10,000 | 100 QPS | Spelling correction for your query | | Autosuggest | $5.00 / 10,000 | 100 QPS | Query suggestions as the user types | | Enterprise | Custom | Custom | Zero data retention, NDAs, dedicated terms | The free credits are the detail most pricing pages miss. **Brave does not have a free tier. It has a free allowance.** Sign up, and $5 in credits appears on the account every single month, no card required. Those credits expire on a rolling basis and cover about 1,000 Search calls before the meter starts. It is enough to run the API through a real prototype, and not enough to run anything in production. ## Does Brave Search API have a free tier in 2026? **No. Brave Search API has no true free tier in 2026; it gives you $5 in credits every month instead, roughly 1,000 free requests.** Every provider in this category gives you something for free, and the free allowances are where the marketing starts to diverge from the bill. Serper hands you 2,500 searches a month. Parallel gives 5,000 requests. Keirolabs gives 1,000 queries. Exa gives $20 at signup plus $10 every month. Tavily gives 1,000 credits, which is 1,000 basic searches. | 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 | | **Brave** | ~1,000 requests ($5 in credits) | Credits, not a tier | | **Tavily** | 1,000 credits (1,000 basic searches) | Advanced search costs 2 credits | | **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 run the exact same query through every API and read the output. I did exactly that while building this comparison, and the outputs are not the same product. Brave returns clean JSON with an LLM-context block already shaped for a model. Serper returns raw organic links. 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. ## Why is Brave 5x more expensive than Serper or Keirolabs? **Brave costs $5.00 per 1,000 because it sells an agent-ready result from its own index; Serper at $0.30-1.00 sells raw SERP data and Keirolabs at $0.10-0.25 sells the same agent-ready result with a different cost structure.** The price gap is not markup. It is the difference between selling a finished part and selling raw material. Serper gives you ten organic links with titles and snippets and stops. Your pipeline then has to fetch each page, strip the chrome, extract the text, chunk it, and filter for relevance before a model can read anything. Every one of those steps costs time and tokens, and none of them appear in Serper's invoice. Brave does part of that work inside the API. The Search plan returns human-readable URLs and text snippets, plus an LLM-context field optimized for models and agents, straight from an index Brave operates itself. Tavily does similar work and charges $8 per 1,000 basic searches at pay-as-you-go. Exa does semantic retrieval and charges $7. Parallel does the same and charges $1 on Turbo. **Brave at $5.00 is cheaper than two of its direct competitors for the same category of result, not more expensive.** The 5x gap to Serper is the price of not building an extraction pipeline. | What you get per query | Brave | Keirolabs | Serper | Tavily | Exa | Parallel | |---|---|---|---|---|---|---| | Search index of its own | Yes | Yes | No (Google) | Aggregated | Yes | Aggregated | | LLM-ready output | Yes | Yes | No | Yes | Partial | Yes | | Content/extraction included | Partial | Yes | No | Extra credits | Extra | Extra results | | Per-query token fees | None | None | None | None | None | None | | Median latency | 669ms | Fast | Fast | 998ms | Sub-425ms | ~200ms (Turbo) | The "cheap" SERP option has a hidden line item. **When you build extraction yourself, the true cost of a Serper query is Serper's $1 plus your fetch, your parsing, and your tokens, and that math does not favor the $1.** I have run this exact loop in production. The teams quoting Serper's $0.30-1.00 as their unit cost are not quoting their unit cost. They are quoting the price of one step out of four. ## What does $5.00 per 1,000 actually buy from Brave? **For $5.00 per 1,000 requests, Brave returns web results from an index of over 30 billion pages, in a JSON shape built for LLMs, at 50 queries per second, with no token fees layered on top.** That last part is the one people miss. Brave's Search plan is flat. The $5.00 is the whole price. Compare that to the synthesis-style APIs where the model token bill arrives separately and can triple the effective cost of a query. Brave operates its own search index rather than reselling Google or Bing. That is a structural advantage most competitors cannot match, because they are paying a search engine or scraping it to resell. Brave's index is the product. The company claims up to five snippets from over 30 billion pages on the [official API page](https://brave.com/search/api/). For an agent that needs grounding on current information, an independent index is also a hedge: you are not dependent on Google's terms, Google's rate limits, or Google's decision to shut you off. The output is shaped for models. Search results carry human-readable URLs, text snippets, and an LLM-context block that condenses the page for a model's context window. This is the difference between an API built for browsers and an API built for agents. A browser wants a link to click. An agent wants the answer to read. Brave shapes its JSON for the second consumer, and the $5.00 includes that shaping. ## How does Brave pricing compare to Tavily, Exa, Parallel, and Serper? **On a like-for-like basis, Brave at $5.00/1K sits below Tavily at $8/1K and Exa at $7/1K, above Parallel Turbo at $1/1K, and well above Keirolabs at $0.25/1K semantic and $0.10/1K SERP.** The full 2026 price table, with free tiers and the fine print, is below. Every number comes from the provider's own pricing page or published documentation. | 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 | | Parallel Basic/Advanced | $5.00 | 5,000 req/mo | Deeper retrieval modes | | 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 | Read the footnotes before you trust a headline rate. **Exa's $7 covers ten results, and every result past ten bills another $1 per 1,000, so a 30-result search costs $27 per 1,000, not $7.** Tavily's pay-as-you-go is $0.008 per credit and a basic search is one credit, so $8 per 1,000; advanced search is two credits, $16 per 1,000. Tavily's $5/1K figure only appears on the Growth plan with a $500 monthly commitment. Perplexity and OpenAI figures are per Parallel's published comparison and should be rechecked on the day you commit. The pattern across all of them is the same: the headline price is a floor, not a bill.

Base cost per 1,000 requests, 2026. Keirolabs SERP $0.10, semantic $0.25; Serper $0.30-1.00; Parallel Turbo $1.00; Brave and Perplexity $5.00; Exa $7.00; Tavily $8.00.

## Which is the cheapest search API per 1,000 requests in 2026? **Keirolabs is the cheapest at $0.25 per 1,000 semantic queries and $0.10 per 1,000 SERP queries, followed by Serper at $0.30-1.00 and Parallel Turbo at $1.00; Brave's $5.00 sits mid-table.** The ranking depends on one question: do you need a result a model can read, or raw links? On raw links, Serper wins on price. On agent-ready output, Keirolabs wins at $0.25, and Brave is the second-cheapest full-fidelity option on this list at $5.00. The gap between the tiers is not small. At one million queries a month, the spread is the difference between a $250 invoice (Keirolabs semantic) and an $8,000 invoice (Tavily pay-as-you-go). That is a 32x difference on the same workload, and it compounds into the difference between a product with healthy margins and a product that burns cash on every request. The teams that ship on the cheap side do not just save money. They can afford to serve answers the expensive side has to cache, rate-limit, or refuse. The cheap tier is not new this year. What is new is that the cheap tier got cheaper and the expensive tier got more expensive. Exa raised its base search rate from $5 to $7 between 2025 and 2026. Tavily's pay-as-you-go never dropped below $8 for a basic search. Brave held its line at $5. Keirolabs held $0.25 and $0.10. **In a market where everyone is raising prices, the vendor that does not is the story.** ## What is the true cost of a query your agent can actually use? **The true cost of a usable query is the search call plus every step after it: extraction, cleaning, and the tokens a model spends reading the result, and that total is where $5.00 Brave beats the "cheap" SERP options.** Run the loop and watch the arithmetic. A Serper query at $0.001 gets you ten links. Your agent then fetches each page, which is either a second API call or your own scraper, parses the HTML, which burns context on navigation chrome and cookie banners, and finally reads what matters. By the time a model has processed one useful answer, you have spent three to five operations and thousands of tokens, none of which show up in the Serper invoice. The agent-ready APIs collapse that loop into one call. Brave returns the snippet and LLM context in the search response. Keirolabs returns search results and extracted content together in a single call. That is why the honest comparison is not $5 against $1. It is $5 against $1 plus the pipeline you have to build and run. For a team that already operates a mature scraping and extraction layer, Serper stays cheap, because the infrastructure is sunk cost. For a team building an agent, the extra infrastructure is not free. It is the largest line item on the bill, and it does not exist on the agent-ready side.

Monthly bill at 1K, 10K, 100K, and 1M queries. The spread at 1M queries is 32x from cheapest to most expensive agent-ready option.

## How fast is the Brave Search API compared to its rivals? **Brave was the fastest search API measured in AIMultiple's 2026 agentic search benchmark at 669ms median latency, ahead of Tavily at 998ms, while Parallel's Turbo mode claims about 200ms and Exa's Fast mode under 425ms.** Speed is not a footnote. In a multi-step agent loop, search latency compounds: five searches back to back is three seconds on Brave and five seconds on Tavily, 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 benchmark scored output quality. **Brave led the field with an agent score of 14.89, statistically tied with Firecrawl, Exa, and Parallel Search Pro, and was the only API that consistently beat Tavily by a meaningful margin.** The finding that matters: when four vendors tie on quality, latency and price become the tiebreakers, and Brave wins latency while Keirolabs wins price.

Median latency, 2026. Brave and Tavily measured by AIMultiple; Parallel Turbo and Exa Fast are vendor claims.

## What are the real rate limits: Brave's capacity vs the field? **Brave Search runs at 50 queries per second on the Search plan, the Answers plan drops to 2 QPS, and the spellcheck and autosuggest endpoints run at 100 QPS; Parallel caps Turbo at 600 requests per minute and Exa starts free accounts at 5 QPS.** Rate limits are part of pricing, and the teams that ignore them discover it the hard way when a traffic spike hits the ceiling. A 50 QPS cap sounds generous until you build a real-time agent serving thousands of users, and then it is the number that decides whether you can scale or whether you must cache, queue, and throttle. The capacity numbers come straight from the provider pricing pages. Brave's Search plan advertises 50 queries per second, the Answers plan is capped at 2 QPS because each call runs an LLM, and the utility endpoints run at 100 QPS. Parallel lists 600 requests per minute on Turbo, shared with its Extract endpoint. Exa's free tier is 5 QPS, rising to 10 QPS on its developer plan, and enterprise tiers go higher. Tavily scales rate limits by plan, which is why its pricing page always asks you to "slide to adjust" before quoting a number. | Provider | Rate limit | Notes | |---|---|---| | **Brave Search** | 50 QPS | 2 QPS on Answers plan | | Brave Spellcheck/Autosuggest | 100 QPS | Utility endpoints | | **Parallel Turbo** | 600 req/min | Shared with Extract | | Exa free tier | 5 QPS | 10 QPS on developer plan | | Keirolabs | Generous free tier | 1,000 queries/mo free, no card | The practical read: for high-volume agent workloads, QPS is a bigger constraint than price at the low end. The $0.10-1.00 tier sells volume. The $5.00-8.00 tier sells fidelity at lower capacity. If your product needs a hundred searches a second, you are rate-limited before you are price-limited, and the answer is either a provider with headroom or a cache you control. The vendors that let you buy the capacity you need without committing to a full enterprise contract are the ones that survive a spike without a phone call. ## Brave vs Keirolabs: two ways to build the same agent **The same agent can be built on Brave at $5.00 per 1,000 or on Keirolabs at $0.25 per 1,000 semantic and $0.10 per 1,000 SERP, and the difference is the shape of the call, not the quality of the answer.** Brave returns web results with an LLM-context block from its own index, and you pay $5.00 flat per 1,000 with 50 QPS headroom. Keirolabs returns search results and extracted content together in one call at $0.25 per 1,000 semantic, with a $0.10 per 1,000 SERP lane underneath, and a free tier of 1,000 queries a month. On output quality, the top of this market is closer than the price difference suggests. AIMultiple's benchmark put Brave at the top with an agent score of 14.89, statistically tied with Firecrawl, Exa, and Parallel Search Pro, and the only meaningful gap it found was Brave beating Tavily. On retrieval quality benchmarks, Keirolabs scores 78% on FinanceBench against roughly 19% for a standard GPT-4o plus vector RAG baseline, and 84% on SimpleQA. The vendors are competing on the same retrieval problem, and the differences at the top are smaller than the 20x to 50x price gap between them. The build decision comes down to one question: how many queries per month will your agent actually run? A research tool that runs 10,000 queries a month pays $50 on Brave and $2.50 on Keirolabs. A production assistant running a million queries a month pays $5,000 on Brave and $250 on Keirolabs. The engineering time is roughly the same on either stack, because both return clean JSON that a model can read. The difference is what the bill does to your unit economics, and unit economics are the thing that decides whether a product survives its first year. The fastest way to test the trade is to run the same 100 queries through both free allowances. Brave gives you $5 in credits monthly. Keirolabs gives 1,000 free queries with no card, enough to cover the same test twice. Compare the outputs, compare the invoices, and the right pick for your volume becomes obvious. [Start at keirolabs.cloud](https://keirolabs.cloud) and read the outputs yourself. ## Brave Answers pricing: the token fee trap **The Brave Answers plan looks cheaper at $4.00 per 1,000 queries, but add the token fees at $5.00 per million input and $5.00 per million output tokens and the real cost lands well above the Search plan for any answer over a few hundred tokens.** This is the same trap that catches teams on every synthesis API. The per-request price is the bait. The token meter is the bill. A single grounded answer routinely runs 500 to 1,500 output tokens, and every search you feed it adds input tokens on top. Run the math on a typical agent answer: 200 input tokens plus 800 output tokens per query. At $5.00 per million each way, that is $0.001 in input and $0.004 in output, roughly $0.005 of token cost on a query that already bills $0.004. The effective price is closer to $9 per 1,000 queries than the advertised $4. And Brave's Answers plan is capped at 2 queries per second, a quarter of the Search plan's 50 QPS. The token fee is not a rounding error. It is the difference between a flat cost and a cost that grows with every answer. The agent-ready APIs that skip the token meter have a structural advantage here. 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 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 write longer answers. Token-metered APIs hand the uncertainty to you, and the uncertainty is the expensive part. ## When should you pay Brave's $5 per 1,000, and when is it a waste? **Pay Brave's $5.00 per 1,000 when you need its index, its speed, and its 50 QPS with flat pricing; 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, Brave competes on speed and index ownership. It is the fastest measured option and it sells you data from an index it runs itself, which matters for privacy-sensitive workloads and for anyone who wants zero dependence on Google. Its weakness is price: at $5.00 it is five times Keirolabs' $0.25 semantic rate and twenty times its $0.10 SERP rate, and the output quality gap does not justify that multiple for most workloads. AIMultiple found the top vendors statistically tied on quality. When quality ties and price diverges 20x, 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 | | Research workflow, turnkey | **Tavily** $8.00 | Native agent integrations | The waste case is specific. **If you are paying Brave $5.00 per 1,000 and still building your own extraction on top of the links, you are paying agent-ready prices and doing the raw-tier work.** Brave's Search plan returns snippets and LLM context, and the whole value of the plan is that you do not have to build the pipeline. Teams that ignore that and fetch every URL themselves are paying twice. Pick the tier first. The vendor inside the tier is a much smaller decision. ## 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. Exa raised its base rate from $5 to $7 this year. Tavily's effective cost stayed at $8 or higher, and the company was acquired by Nebius. Brave held at $5. Every price increase in the tier makes the entry point more valuable, and the entry point is Keirolabs at $0.25 semantic and $0.10 SERP. A team that builds on the cheap side of the agent-ready tier gets 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. The consolidation is already underway. The expensive side keeps raising prices, the acquirers keep paying premiums, and the teams that matter are the ones with unit economics that survive at a million queries a month. Those teams are not on the $5-8 tier. They are on the $0.10-0.25 tier, and they are the ones who will be running the search infrastructure that everyone else buys. ## How do I test Brave vs 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: Brave gives you $5 in credits monthly and Keirolabs gives you 1,000 free queries 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, Brave is $500, Tavily is $800, and Keirolabs is $25. The demo is free. The production bill is the number that decides. The next 12 months will make this look obvious. Brave's $5.00 is not the expensive option in the agent-ready tier, it is the middle of the pack, and the cheap option below it changes the economics of anyone who builds on it. 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. You can follow his work on [GitHub](https://github.com/humbertowoody). ## FAQ ### How much does the Brave Search API cost per 1,000 requests in 2026? Brave Search API costs $5.00 per 1,000 requests on the Search plan in 2026, with $5 in free credits applied every month. The Answers plan costs $4.00 per 1,000 queries plus $5.00 per million input and output tokens. ### Is the Brave Search API free? Brave Search API has no true free tier, but it credits $5 to every account each month, which covers roughly 1,000 Search requests before the meter starts. ### Is Brave cheaper than Tavily and Exa? Yes, on a like-for-like basis. Brave is $5.00 per 1,000 requests, Tavily is $8.00 per 1,000 basic searches at pay-as-you-go, and Exa is $7.00 per 1,000 for its base search. ### Which search API is the cheapest per 1,000 requests in 2026? 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.