benchmarks/web-search/best web search API for developers
independent · open source code · public sample · held-out scoring set · updated 2 Oct 2026

Best Web Search APIs for Developers: 2026 Comparison & Benchmark

In the October 2026 independent benchmark, Perplexity leads by accuracy at 77.3%. Compare 10 Web Search APIs, including Exa, Firecrawl, Parallel, Tavily and Brave, by accuracy, speed and cost. Independent benchmark results.

Compared on the same 100 developer questions.

  • Highest accuracy: Perplexity: 77.3%.
  • Fastest search: Parallel turbo: 333ms average search time.
  • Cheapest task: TinyFish: $0.035 median task cost, including LLM and search API spend.

Compare the developer search results →

Web Search for Developers: API Comparison Benchmarked

Ranked by accuracy on 100 developer questions, using search results. Compare quality, search latency, end-to-end task time and cost alongside the tested API configuration.

View full developer search benchmark →

Web search APIs for developers: ranked by task completion
RankVendorEndpoint & configurationOfficial docsTask completionMedian task timeMedian task costAvg search timeMedian task tokensAPI list price
1PerplexityPOST /search search_context_size=lowPerplexity official docs 77.3 ± 2.118s$0.059$0.025 search$0.034 token cost957ms8,765$0.005 / search
2FirecrawlPOST /v2/searchFirecrawl official docs 70.3 ± 1.528s$0.059$0.025 search$0.034 token cost2.87s7,456$0.005 / search
3Parallel fastPOST /v1/search mode=fastParallel fast official docs 66.7 ± 1.522s$0.054$0.005 search$0.049 token cost953ms12,460$0.001 / search
4Exa fastPOST /search type=fastExa fast official docs 66.3 ± 1.520s$0.103$0.035 search$0.068 token cost626ms22,344$0.007 / search
5Parallel turboPOST /v1/search mode=turboParallel turbo official docs 64.7 ± 2.119s$0.059$0.005 search$0.054 token cost333ms14,130$0.001 / search
6Exa instantPOST /search type=instantExa instant official docs 61.3 ± 2.921s$0.105$0.035 search$0.070 token cost447ms22,423$0.007 / search
7TinyFishGET api.search.tinyfish.aiTinyFish official docs 59.3 ± 1.528s$0.035$0.000 search$0.035 token cost2.15s7,469$0 / search
8Tavily basicPOST /search search_depth=basicTavily basic official docs 51.0 ± 5.326s$0.097$0.040 search$0.057 token cost1.72s16,299$0.008 / search
9NimblePOST /v2/search search_depth=lite · full_content=false · focus=generalNimble official docs 46.7 ± 3.833s$0.043$0.005 search$0.037 token cost3.15s8,713$0.0011 / search
10Linkup fastPOST /v1/search depth=fastLinkup fast official docs 43.3 ± 1.127s$0.100$0.025 search$0.075 token cost1.39s24,057$0.005 / search
11NimblePOST /v2/search search_depth=standard · full_content=false · focus=generalNimble official docs 42.3 ± 2.525s$0.079$0.025 search$0.054 token cost878ms14,859$0.005 / search
12YouPOST /v1/search extraction_mode=highlightsYou official docs 41.3 ± 3.124s$0.097$0.025 search$0.072 token cost596ms20,333$0.005 / search
13YouPOST /v1/search extraction_mode=highlights · knowledge=coreYou official docs 38.3 ± 3.221s$0.096$0.025 search$0.071 token cost677ms20,786$0.005 / search
14BravePOST /res/v1/llm/contextBrave official docs 38.0 ± 2.620s$0.082$0.025 search$0.057 token cost523ms14,103$0.005 / search

Task completion is mean ± SD of three runs; n = 100 tasks. Time and cost metrics use those same runs. Median task cost includes LLM and search API spend.

How to choose a web search API for developers

Additional comparisons for grounding and multiple searches

The developer table above is the main ranking for this page. The following tables provide supporting results for factual grounding and agents gathering evidence across multiple searches.

AI search comparison · LLM-app comparison · LLM-agent comparison · Full benchmark, including search and scrape

Supporting results: search for grounding

Extracted-answer accuracy on 300 questions. Same query, up to 10 results, answer model and judge held constant.

View full search benchmark →

Supporting search for grounding: ranked by accuracy
RankVendorEndpoint & configurationOfficial docsAccuracyAR@1AR@5$ / 1k correctLatencySnippet tokensTotal $Cost per 1,000 queries
1Exaweb searchPOST /searchtype=fastExa fast official docs 99.3%95.0%99.3%$7.05652ms1,987$2.10$7 / 1ktype=fast · up to 10 results
2Exaweb searchPOST /searchtype=instantExa instant official docs 97.7%80.0%97.3%$7.17398ms2,128$2.10$7 / 1ktype=instant · up to 10 results
3Perplexityweb searchPOST /searchsearch_context_size=lowPerplexity low official docs 97.3%91.7%98.3%$5.141.38s476$1.50$5 / 1kSearch API · POST /search
4Linkupweb searchPOST /v1/searchdepth=fast · outputType=searchResultsLinkup fast official docs 96.7%79.0%94.7%$5.171.57s3,022$1.50$5 / 1kdepth=fast · searchResults
5SERPgoogle searchGET google-search74.p.rapidapi.comlimit=10SERP (RapidAPI) official docs 96.0%78.0%95.0%$3.13751ms497$0.90$3 / 1kPro overage $0.003/request
6Firecrawlweb searchPOST /v2/searchFirecrawl official docs 95.3%77.7%96.7%$5.24510ms678$1.50$5 / 1k2 credits / 10 results
7Nimbleweb searchPOST /v2/searchsearch_depth=lite · full_content=false · focus=generalNimble official docs 94.3%59.7%93.7%$1.172.46s860$0.33$1.1 / 1ksearch_depth=lite · full_content=false
8Brave Searchweb searchPOST /res/v1/llm/contextcount=10Brave LLM context official docs 94.0%81.0%94.7%$5.32601ms2,064$1.50$5 / 1kSearch plan · LLM Context
9Parallelweb searchPOST /v1/searchmode=basicParallel basic official docs 93.3%55.0%92.0%$5.361.68s2,330$1.50$5 / 1kmode=basic · 10 results
10Brave Searchweb searchGET /res/v1/web/searchcount=10 · result_filter=webBrave Search official docs 93.3%79.3%91.7%$5.36630ms817$1.50$5 / 1k
11Nimbleweb searchPOST /v2/searchsearch_depth=standard · full_content=false · focus=generalNimble official docs 93.0%86.3%94.3%$5.38861ms2,730$1.50$5 / 1ksearch_depth=standard · full_content=false
12Tavilyweb searchPOST /searchsearch_depth=advancedTavily advanced official docs 93.0%65.0%92.7%$17.204.29s2,210$4.80$16 / 1k2 credits · $0.008 PAYG
13TinyFishweb searchGET api.search.tinyfish.aifree · 30 req/min capTinyFish official docs 92.0%74.3%90.7%Free30 req/min cap2.62s441Free$0free · 30 req/min, 500/hour
14Linkupweb searchPOST /v1/searchdepth=standard · outputType=searchResultsLinkup standard official docs 92.0%67.3%90.3%$5.432.55s2,983$1.50$5 / 1kdepth=standard · searchResults
15Youweb searchPOST /v1/searchextraction_mode=highlights · knowledge=coreYou official docs 92.0%67.3%89.7%$5.43889ms2,862$1.50$5 / 1khighlights · knowledge=core · same Web Search price assumption
16Youweb searchPOST /v1/searchextraction_mode=highlightsYou official docs 90.7%72.0%89.7%$5.51628ms2,837$1.50$5 / 1khighlights included in Web Search
17Tavilyweb searchPOST /searchsearch_depth=basicTavily basic official docs 87.7%82.0%87.7%$9.131.88s1,639$2.40$8 / 1k1 credit · $0.008 PAYG
18Parallelweb searchPOST /v1/searchmode=fastParallel fast official docs 86.0%44.3%79.0%$1.16942ms1,839$0.30$1 / 1kmode=fast · 10 results
19Parallelweb searchPOST /v1/searchmode=turboParallel turbo official docs 71.3%45.3%66.0%$1.40348ms1,853$0.30$1 / 1kmode=turbo · 10 results

$ / 1k correct is $ / 1k queries divided by extracted-answer accuracy. Ranked by accuracy, highest first. Cost per 1,000 queries is the published PAYG list price, linked to the vendor pricing page. Not promotional packs or volume discounts. TinyFish Search is free with a 30 requests/min cap — $0 is not unlimited throughput.

Supporting results: multiple searches

F1 on 45 questions answered using multiple searches, with the same agent and questions for every API.

View full multi search benchmark →

Supporting multiple searches: ranked by F1
ProviderEndpoint & configurationOfficial docsF1PrecisionRecallExact setMedian timeMean turnsMedian task costAPI list price
Parallel basicPOST /v1/search mode=basicparallel-basicParallel basic official docs 46.5 ± 1.988.7 ± 0.934.4 ± 2.03.7 ± 2.667.6 s7.4$1.120$0.070 search$1.050 token cost$0.005 / search
Exa deepPOST /search type=deepexa-deepExa deep official docs 45.4 ± 2.083.2 ± 3.033.7 ± 1.41.5 ± 1.389.5 s7.4$0.717$0.156 search$0.556 token cost$0.012 / search
Parallel advancedPOST /v1/search mode=advancedparallel-advancedParallel advanced official docs 44.2 ± 1.487.6 ± 3.432.0 ± 1.62.2 ± 0.083.4 s7.3$0.625$0.070 search$0.565 token cost$0.005 / search
Exa instantPOST /search type=instantexa-instantExa instant official docs 43.3 ± 1.082.6 ± 3.832.2 ± 0.53.0 ± 1.349.8 s7.3$0.652$0.091 search$0.559 token cost$0.007 / search
Linkup fastPOST /v1/search depth=fastlinkup-fastLinkup fast official docs 41.1 ± 1.782.8 ± 1.030.3 ± 1.50.7 ± 1.364.2 s7.4$0.923$0.070 search$0.853 token cost$0.005 / search
Tavily advancedPOST /search search_depth=advancedtavily-advancedTavily advanced official docs 41.1 ± 2.383.7 ± 4.229.8 ± 1.72.2 ± 0.092.2 s7.4$1.029$0.224 search$0.808 token cost$0.016 / search
Linkup standardPOST /v1/search depth=standardlinkup-standardLinkup standard official docs 40.6 ± 0.984.0 ± 7.929.7 ± 1.41.5 ± 2.672.3 s7.3$0.937$0.070 search$0.867 token cost$0.005 / search
YouPOST /v1/searchextraction_mode=highlightsYou official docs 38.6 ± 0.879.3 ± 4.928.3 ± 0.94.4 ± 0.048.2 s7.5$0.971$0.070 search$0.901 token cost$0.005 / search
YouPOST /v1/searchextraction_mode=highlights · knowledge=coreYou official docs 38.1 ± 0.680.9 ± 1.627.4 ± 0.93.0 ± 1.347.6 s7.5$0.895$0.070 search$0.827 token cost$0.005 / search
Parallel fastPOST /v1/search mode=fastparallel-fastParallel fast official docs 38.0 ± 2.079.9 ± 4.627.5 ± 1.41.5 ± 1.353.9 s7.6$0.460$0.014 search$0.447 token cost$0.001 / search
PerplexityPOST /searchsearch_context_size=lowPerplexity official docs 37.8 ± 2.179.3 ± 5.726.8 ± 1.42.2 ± 2.248.9 s7.7$0.334$0.070 search$0.264 token cost$0.005 / search
Tavily basicPOST /search search_depth=basictavily-basicTavily basic official docs 36.5 ± 3.282.5 ± 1.925.7 ± 2.71.5 ± 1.363.0 s7.7$0.615$0.112 search$0.504 token cost$0.008 / search
Parallel turboPOST /v1/search mode=turboparallel-turboParallel turbo official docs 34.7 ± 2.480.0 ± 5.224.8 ± 2.41.5 ± 1.346.4 s7.6$0.419$0.014 search$0.405 token cost$0.001 / search
NimblePOST /v2/searchsearch_depth=standard · full_content=false · focus=generalNimble official docs 30.7 ± 1.470.3 ± 3.321.3 ± 1.10.7 ± 1.353.0 s7.7$0.467$0.070 search$0.398 token cost$0.005 / search
FirecrawlPOST /v2/searchfirecrawlFirecrawl official docs 30.4 ± 1.177.3 ± 4.420.7 ± 0.72.2 ± 0.075.0 s7.9$0.282$0.070 search$0.212 token cost$0.005 / search
Brave SearchGET /res/v1/web/searchbraveBrave Search official docs 28.0 ± 1.766.9 ± 8.519.3 ± 0.50.7 ± 1.343.5 s8.0$0.268$0.070 search$0.200 token cost$0.005 / search
TinyFishGET api.search.tinyfish.aitinyfishTinyFish official docs 26.6 ± 1.364.7 ± 1.517.9 ± 0.81.5 ± 1.364.2 s7.9$0.212$0.000 search$0.212 token cost$0 / search
NimblePOST /v2/searchsearch_depth=lite · full_content=false · focus=generalNimble official docs 25.3 ± 1.162.8 ± 1.917.6 ± 1.21.5 ± 1.367.9 s7.9$0.234$0.015 search$0.220 token cost$0.0011 / search
SeltzPOST /v1/search scope=companiesseltz-companiesSeltz official docs 14.5 ± 0.940.0 ± 3.19.4 ± 0.70.0 ± 0.055.2 s7.3$1.751$0.070 search$1.681 token cost$0.005 / search
SERP (RapidAPI)GET google-search74.p.rapidapi.comserpSERP (RapidAPI) official docs 0.4 ± 0.60.7 ± 1.30.3 ± 0.40.0 ± 0.031.4 s7.8$0.103$0.036 search$0.065 token cost$0.003 / search

F1, precision, recall, and exact-set accuracy are percentages reported as mean ± sample SD across three independent runs; each run aggregates all 45 questions. SD is measured in percentage points. Median time is the median end-to-end time across all runs for each vendor. Median task cost is the median of LLM $ plus search API $ per agent run. API list price is the PAYG unit rate of the search endpoint the harness calls.

Best web search API for developers: FAQ

What is the best web search API for developers in 2026?

Perplexity leads this developer search benchmark at 77.3% accuracy across 100 questions. The main table ranks tested configurations by accuracy. Compare average search time, median task time and cost alongside quality to choose an API for your developer agent.

What is the fastest web search API for developers?

Parallel turbo has the lowest measured average search time at 333ms in this developer benchmark. Average search time measures search-call latency. Median task time covers the agent's end-to-end work; both appear in the main table.

What is the cheapest web search API for developer agents?

TinyFish has the lowest recorded median task cost at $0.035 in this benchmark. Median task cost includes LLM and search API spend. The API list-price column shows the search endpoint's unit price. Check official provider pricing for current free tiers, credits and volume plans.

How should developers compare web search APIs?

Start with accuracy on the same developer questions, then compare search latency and task cost. Match each row's endpoint and configuration to the official docs. Check authentication, query options, returned content, rate limits and how the results fit your agent's context budget.

How do I choose a web search API for RAG over developer documentation?

Use the developer search results to compare retrieval that supports grounded technical answers. Check the returned content and source URLs, then evaluate retrieval and answer generation on your own documentation questions. The supporting grounding table provides additional context for factual answers, and the multiple-search table covers agents gathering evidence across searches.

Should a developer agent use search-only or search and scrape?

The developer ranking on this page measures agents using the content returned by search. Use search and scrape when your agent needs additional page content. The full web search benchmark provides a separate search-and-scrape comparison for that setup.

Where are the official web search API docs?

Every table has an Official docs column linking to the provider's search documentation. The Endpoint & configuration column records the tested call and settings. Use these together to check the integration and current provider pricing.

What does this independent developer search benchmark measure?

Developer accuracy is measured as grounded task completion on 100 held-out documentation tickets. Questions, agent model and judge are held constant within the comparison, and the search API varies. Task completion is reported as mean and sample standard deviation across three runs. Supporting tables measure answer accuracy on 300 company-news questions and F1 on 45 company-discovery questions. Rankings come from measured results. Code is open source and dataset samples are public.

[06] changelog+

Benchmarked Nimble lite and standard plus You highlights with and without knowledge=core on search-only and search + scrape; 100 tasks across three repeats per configuration and mode.