---
title: "Most Accurate Web Search API for LLM Agents, Independently Benchmarked, 2026 | Openbenchmarks"
description: "Most accurate web search API for LLM agents: multi-hop F1 with precision and recall, plus hard-retrieval task completion and lookup accuracy, search-only."
url: https://openbenchmarks.com/web-search/most-accurate-search-api-for-llm-agents
---

[](https://openbenchmarks.com/) 

[← web search benchmark](https://openbenchmarks.com/web-search) 

[benchmarks](https://openbenchmarks.com/) / [web-search](https://openbenchmarks.com/web-search) / most accurate for LLM agents 

open source code · public sample · held-out scoring set · 3 tasks · accuracy only

# Most accurate web search API for LLM agents

Most accurate, by audience: [AI and LLM agents →](https://openbenchmarks.com/web-search/most-accurate-search-api) · [Most accurate web search API for LLM apps →](https://openbenchmarks.com/web-search/most-accurate-search-api-for-llm-apps) 

Exa (type=fast) leads factual lookup at 99.3% across 300 questions. Independent 2026 benchmark (open source code, public dataset sample, held-out scoring set). Accuracy of web search APIs for AI agents and LLM agents on each of the three tasks. This page keeps accuracy columns only.

[\[01\] **Factual lookup** One query, one verifiable fact. ](#factual-lookup) [\[02\] **Hard retrieval** Find an answer that is seated deep within a unique page, across very similar pages. ](#hard-retrieval) [\[03\] **Multi-hop search** Combine evidence from several searches. One query is not enough. ](#multi-hop) 

**How to pick.** Start from the task that matches your workflow, then read that accuracy board.

* **One fact, one query.** Read [factual lookup](#factual-lookup). Prefer `Accuracy`, then `AR@1` or `AR@5`.
* **Seated deep in a unique page, across very similar pages.** Read [hard retrieval](#hard-retrieval). Prefer `Task completion` on the search & fetch or search-only board that matches your tool setup.
* **One query is not enough.** Read [multi-hop search](#multi-hop). Prefer `F1`, then precision versus recall.

[Full web search benchmark →](https://openbenchmarks.com/web-search) 

\[01\] Factual lookup

## Factual lookup

Extracted-answer accuracy, AR@1, and AR@5 on identical queries, max 10 results.

[View full factual lookup benchmark: company news →](https://openbenchmarks.com/company-news) 

__Factual lookup: web search APIs ranked by extracted-answer accuracy__
| Rank | Vendor | Endpoint & configuration | Accuracy | AR@1 | AR@5 |
| --- | --- | --- | --- | --- | --- |
| 1 | [Exa](https://exa.ai "Open Exa in a new tab") web search fast | POST /search type=fast | 99.3% | 95.0% | 99.3% |
| 2 | [Context](https://context.dev "Open Context in a new tab") web search | POST api.context.dev/v1/web/search numResults=10 · highlights maxCharacters=1200 | 98.0% | 88.7% | 98.3% |
| 3 | [Exa](https://exa.ai "Open Exa in a new tab") web search instant | POST /search type=instant | 97.7% | 80.0% | 97.3% |
| 4 | [Perplexity](https://www.perplexity.ai "Open Perplexity in a new tab") web search | POST /search search\_context\_size=low | 97.3% | 91.7% | 98.3% |
| 5 | [Linkup](https://www.linkup.so "Open Linkup in a new tab") web search fast | POST /v1/search depth=fast · outputType=searchResults | 96.7% | 79.0% | 94.7% |
| 6 | [SERP](https://rapidapi.com/herosAPI/api/google-search74 "Open SERP in a new tab") google search | GET google-search74.p.rapidapi.com limit=10 | 96.0% | 78.0% | 95.0% |
| 7 | [Firecrawl](https://firecrawl.dev "Open Firecrawl in a new tab") web search | POST /v2/search | 95.3% | 77.7% | 96.7% |
| 8 | [Nimble](https://www.nimbleway.com "Open Nimble in a new tab") web search lite | POST /v2/search search\_depth=lite · full\_content=false · focus=general | 94.3% | 59.7% | 93.7% |
| 9 | [Brave Search](https://brave.com/search/api/ "Open Brave Search in a new tab") web search Brave LLM context | POST /res/v1/llm/context count=10 | 94.0% | 81.0% | 94.7% |
| 10 | [Brave Search](https://brave.com/search/api/ "Open Brave Search in a new tab") web search | GET /res/v1/web/search count=10 · result\_filter=web | 93.3% | 79.3% | 91.7% |
| 11 | [Nimble](https://www.nimbleway.com "Open Nimble in a new tab") web search standard | POST /v2/search search\_depth=standard · full\_content=false · focus=general | 93.0% | 86.3% | 94.3% |
| 12 | [Tavily](https://tavily.com "Open Tavily in a new tab") web search advanced | POST /search search\_depth=advanced | 93.0% | 65.0% | 92.7% |
| 13 | [TinyFish](https://www.tinyfish.ai "Open TinyFish in a new tab") web search | GET api.search.tinyfish.ai free · 30 req/min cap | 92.0% | 74.3% | 90.7% |
| 14 | [Linkup](https://www.linkup.so "Open Linkup in a new tab") web search standard | POST /v1/search depth=standard · outputType=searchResults | 92.0% | 67.3% | 90.3% |
| 15 | [You](https://you.com "Open You in a new tab") web search highlights core | POST /v1/search extraction\_mode=highlights · knowledge=core | 92.0% | 67.3% | 89.7% |
| 16 | [You](https://you.com "Open You in a new tab") web search highlights | POST /v1/search extraction\_mode=highlights | 90.7% | 72.0% | 89.7% |
| 17 | [Tavily](https://tavily.com "Open Tavily in a new tab") web search basic | POST /search search\_depth=basic | 87.7% | 82.0% | 87.7% |

\[02\] Hard retrieval

## Hard retrieval

Grounded task completion. Search & fetch and search-only are separate rankings.

[View full hard retrieval benchmark: web search for coding agents →](https://openbenchmarks.com/web-search-for-coding-agents) 

\[02.a\] search & fetch 

__Hard retrieval, search & fetch: ranked by task completion__
| Rank | Vendor | Endpoint & configuration | Task completion |
| --- | --- | --- | --- |
| 1 | [Exa deep](https://exa.ai "Open Exa deep in a new tab") | POST /search type=deep POST /contents | 83.0 ± 1.0 |
| 2 | [Exa auto](https://exa.ai "Open Exa auto in a new tab") | POST /search type=auto POST /contents | 81.7 ± 1.1 |
| 3 | [TinyFish](https://www.tinyfish.ai "Open TinyFish in a new tab") | GET api.search.tinyfish.ai POST api.fetch.tinyfish.ai format=markdown | 79.0 ± 2.0 |
| 4 | [Perplexity](https://www.perplexity.ai "Open Perplexity in a new tab") | POST /search search\_context\_size=high POST /search search\_context\_size=high | 77.7 ± 1.5 |
| 5 | [Parallel advanced](https://parallel.ai "Open Parallel advanced in a new tab") | POST /v1/search mode=advanced POST /v1/extract | 77.0 ± 1.0 |
| 6 | [Parallel basic](https://parallel.ai "Open Parallel basic in a new tab") | POST /v1/search mode=basic POST /v1/extract | 76.0 ± 0.0 |
| 7 | [Firecrawl](https://firecrawl.dev "Open Firecrawl in a new tab") | POST /v2/search POST /v2/scrape | 76.0 ± 1.0 |
| 8 | [Nimble](https://www.nimbleway.com "Open Nimble in a new tab") | POST /v2/search search\_depth=lite · full\_content=false · focus=general POST /v2/extract formats=\[markdown\] | 60.3 ± 2.5 |
| 9 | [Tavily advanced](https://tavily.com "Open Tavily advanced in a new tab") | POST /search search\_depth=advanced POST /extract extract\_depth=advanced | 60.0 ± 2.0 |
| 10 | [Tavily basic](https://tavily.com "Open Tavily basic in a new tab") | POST /search search\_depth=basic POST /extract extract\_depth=basic | 59.0 ± 1.7 |
| 11 | [You](https://you.com "Open You in a new tab") | POST /v1/search extraction\_mode=highlights POST /v1/contents | 55.0 ± 1.7 |
| 12 | [You](https://you.com "Open You in a new tab") | POST /v1/search extraction\_mode=highlights · knowledge=core POST /v1/contents | 54.0 ± 2.0 |
| 13 | [Linkup standard](https://www.linkup.so "Open Linkup standard in a new tab") | POST /v1/search depth=standard POST /v1/fetch mode=standard | 48.3 ± 4.9 |
| 14 | [Nimble](https://www.nimbleway.com "Open Nimble in a new tab") | POST /v2/search search\_depth=standard · full\_content=false · focus=general POST /v2/extract formats=\[markdown\] | 45.0 ± 1.0 |

Task completion is mean ± SD of 3 runs; n = 100 tasks.

\[02.b\] search-only 

__Hard retrieval, search-only: ranked by task completion__
| Rank | Vendor | Endpoint & configuration | Task completion |
| --- | --- | --- | --- |
| 1 | [Perplexity](https://www.perplexity.ai "Open Perplexity in a new tab") | POST /search search\_context\_size=low | 77.3 ± 2.1 |
| 2 | [Firecrawl](https://firecrawl.dev "Open Firecrawl in a new tab") | POST /v2/search | 70.3 ± 1.5 |
| 3 | [Parallel fast](https://parallel.ai "Open Parallel fast in a new tab") | POST /v1/search mode=fast | 66.7 ± 1.5 |
| 4 | [Exa fast](https://exa.ai "Open Exa fast in a new tab") | POST /search type=fast | 66.3 ± 1.5 |
| 5 | [Parallel turbo](https://parallel.ai "Open Parallel turbo in a new tab") | POST /v1/search mode=turbo | 64.7 ± 2.1 |
| 6 | [Exa instant](https://exa.ai "Open Exa instant in a new tab") | POST /search type=instant | 61.3 ± 2.9 |
| 7 | [TinyFish](https://www.tinyfish.ai "Open TinyFish in a new tab") | GET api.search.tinyfish.ai | 59.3 ± 1.5 |
| 8 | [Tavily basic](https://tavily.com "Open Tavily basic in a new tab") | POST /search search\_depth=basic | 51.0 ± 5.3 |
| 9 | [Nimble](https://www.nimbleway.com "Open Nimble in a new tab") | POST /v2/search search\_depth=lite · full\_content=false · focus=general | 46.7 ± 3.8 |
| 10 | [Linkup fast](https://www.linkup.so "Open Linkup fast in a new tab") | POST /v1/search depth=fast | 43.3 ± 1.1 |
| 11 | [Nimble](https://www.nimbleway.com "Open Nimble in a new tab") | POST /v2/search search\_depth=standard · full\_content=false · focus=general | 42.3 ± 2.5 |
| 12 | [You](https://you.com "Open You in a new tab") | POST /v1/search extraction\_mode=highlights | 41.3 ± 3.1 |
| 13 | [You](https://you.com "Open You in a new tab") | POST /v1/search extraction\_mode=highlights · knowledge=core | 38.3 ± 3.2 |
| 14 | [Brave](https://brave.com/search/api/ "Open Brave in a new tab") | POST /res/v1/llm/context | 38.0 ± 2.6 |

Task completion is mean ± SD of 3 runs; n = 100 tasks.

\[03\] Multi-hop search

## Multi-hop search

F1, precision, recall, and exact-set accuracy. Search-only and search & fetch are separate rankings.

[View full multi-hop search benchmark: multi-turn company search →](https://openbenchmarks.com/multi-turn-company-search) 

### Web Search only

__Multi-hop, search-only: ranked by F1__
| Provider | Endpoint & configuration | F1 | Precision | Recall | Exact set |
| --- | --- | --- | --- | --- | --- |
| [Parallel basic](https://parallel.ai "Open Parallel basic in a new tab") | POST /v1/search mode=basic parallel-basic | **46.5 ± 1.9** | 88.7 ± 0.9 | 34.4 ± 2.0 | 3.7 ± 2.6 |
| [Exa deep](https://exa.ai "Open Exa deep in a new tab") | POST /search type=deep exa-deep | **45.4 ± 2.0** | 83.2 ± 3.0 | 33.7 ± 1.4 | 1.5 ± 1.3 |
| [Parallel advanced](https://parallel.ai "Open Parallel advanced in a new tab") | POST /v1/search mode=advanced parallel-advanced | **44.2 ± 1.4** | 87.6 ± 3.4 | 32.0 ± 1.6 | 2.2 ± 0.0 |
| [Exa instant](https://exa.ai "Open Exa instant in a new tab") | POST /search type=instant exa-instant | **43.3 ± 1.0** | 82.6 ± 3.8 | 32.2 ± 0.5 | 3.0 ± 1.3 |
| [Linkup fast](https://www.linkup.so "Open Linkup fast in a new tab") | POST /v1/search depth=fast linkup-fast | **41.1 ± 1.7** | 82.8 ± 1.0 | 30.3 ± 1.5 | 0.7 ± 1.3 |
| [Tavily advanced](https://tavily.com "Open Tavily advanced in a new tab") | POST /search search\_depth=advanced tavily-advanced | **41.1 ± 2.3** | 83.7 ± 4.2 | 29.8 ± 1.7 | 2.2 ± 0.0 |
| [Linkup standard](https://www.linkup.so "Open Linkup standard in a new tab") | POST /v1/search depth=standard linkup-standard | **40.6 ± 0.9** | 84.0 ± 7.9 | 29.7 ± 1.4 | 1.5 ± 2.6 |
| [You](https://you.com "Open You in a new tab") | POST /v1/search extraction\_mode=highlights | **38.6 ± 0.8** | 79.3 ± 4.9 | 28.3 ± 0.9 | 4.4 ± 0.0 |
| [You](https://you.com "Open You in a new tab") | POST /v1/search extraction\_mode=highlights · knowledge=core | **38.1 ± 0.6** | 80.9 ± 1.6 | 27.4 ± 0.9 | 3.0 ± 1.3 |
| [Parallel fast](https://parallel.ai "Open Parallel fast in a new tab") | POST /v1/search mode=fast parallel-fast | **38.0 ± 2.0** | 79.9 ± 4.6 | 27.5 ± 1.4 | 1.5 ± 1.3 |
| [Perplexity](https://www.perplexity.ai "Open Perplexity in a new tab") | POST /search search\_context\_size=low | **37.8 ± 2.1** | 79.3 ± 5.7 | 26.8 ± 1.4 | 2.2 ± 2.2 |
| [Tavily basic](https://tavily.com "Open Tavily basic in a new tab") | POST /search search\_depth=basic tavily-basic | **36.5 ± 3.2** | 82.5 ± 1.9 | 25.7 ± 2.7 | 1.5 ± 1.3 |
| [Parallel turbo](https://parallel.ai "Open Parallel turbo in a new tab") | POST /v1/search mode=turbo parallel-turbo | **34.7 ± 2.4** | 80.0 ± 5.2 | 24.8 ± 2.4 | 1.5 ± 1.3 |
| [Nimble](https://www.nimbleway.com "Open Nimble in a new tab") | POST /v2/search search\_depth=standard · full\_content=false · focus=general | **30.7 ± 1.4** | 70.3 ± 3.3 | 21.3 ± 1.1 | 0.7 ± 1.3 |
| [Firecrawl](https://firecrawl.dev "Open Firecrawl in a new tab") | POST /v2/search firecrawl | **30.4 ± 1.1** | 77.3 ± 4.4 | 20.7 ± 0.7 | 2.2 ± 0.0 |
| [Brave Search](https://brave.com/search/api/ "Open Brave Search in a new tab") | GET /res/v1/web/search brave | **28.0 ± 1.7** | 66.9 ± 8.5 | 19.3 ± 0.5 | 0.7 ± 1.3 |
| [TinyFish](https://www.tinyfish.ai "Open TinyFish in a new tab") | GET api.search.tinyfish.ai tinyfish | **26.6 ± 1.3** | 64.7 ± 1.5 | 17.9 ± 0.8 | 1.5 ± 1.3 |
| [Nimble](https://www.nimbleway.com "Open Nimble in a new tab") | POST /v2/search search\_depth=lite · full\_content=false · focus=general | **25.3 ± 1.1** | 62.8 ± 1.9 | 17.6 ± 1.2 | 1.5 ± 1.3 |
| [Seltz](https://seltz.ai "Open Seltz in a new tab") | POST /v1/search scope=companies seltz-companies | **14.5 ± 0.9** | 40.0 ± 3.1 | 9.4 ± 0.7 | 0.0 ± 0.0 |
| [SERP](https://rapidapi.com/herosAPI/api/google-search74 "Open SERP in a new tab") | GET google-search74.p.rapidapi.com serp | **0.4 ± 0.6** | 0.7 ± 1.3 | 0.3 ± 0.4 | 0.0 ± 0.0 |

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.

### Web Search + Fetch

__Multi-hop, search & fetch: ranked by F1__
| Provider | Endpoint & configuration | F1 | Precision | Recall | Exact set |
| --- | --- | --- | --- | --- | --- |
| [Exa deep](https://exa.ai "Open Exa deep in a new tab") | POST /search type=deep exa-deep | **48.2 ± 2.1** | 89.4 ± 1.2 | 36.0 ± 2.2 | 2.2 ± 2.2 |
| [Perplexity](https://www.perplexity.ai "Open Perplexity in a new tab") | POST /search search\_context\_size=high | **46.6 ± 2.0** | 87.7 ± 5.9 | 34.7 ± 1.1 | 2.2 ± 2.2 |
| [Exa instant](https://exa.ai "Open Exa instant in a new tab") | POST /search type=instant exa-instant | **44.9 ± 0.9** | 85.9 ± 2.5 | 33.5 ± 0.9 | 5.2 ± 1.3 |
| [Parallel basic](https://parallel.ai "Open Parallel basic in a new tab") | POST /v1/search mode=basic parallel-basic | **42.3 ± 1.1** | 81.3 ± 2.8 | 31.3 ± 1.1 | 3.0 ± 1.3 |
| [Parallel advanced](https://parallel.ai "Open Parallel advanced in a new tab") | POST /v1/search mode=advanced parallel-advanced | **42.2 ± 1.1** | 87.6 ± 0.3 | 30.1 ± 1.1 | 2.2 ± 0.0 |
| [Linkup standard](https://www.linkup.so "Open Linkup standard in a new tab") | POST /v1/search depth=standard linkup-standard | **42.0 ± 1.8** | 90.7 ± 2.0 | 30.5 ± 2.0 | 3.0 ± 3.4 |
| [Tavily advanced](https://tavily.com "Open Tavily advanced in a new tab") | POST /search search\_depth=advanced tavily-advanced | **41.0 ± 1.3** | 89.4 ± 6.0 | 29.1 ± 0.7 | 2.2 ± 0.0 |
| [Linkup fast](https://www.linkup.so "Open Linkup fast in a new tab") | POST /v1/search depth=fast linkup-fast | **39.9 ± 1.3** | 85.3 ± 3.6 | 28.6 ± 1.3 | 0.7 ± 1.3 |
| [Parallel fast](https://parallel.ai "Open Parallel fast in a new tab") | POST /v1/search mode=fast parallel-fast | **39.3 ± 3.3** | 82.3 ± 6.6 | 28.2 ± 2.0 | 2.2 ± 0.0 |
| [You](https://you.com "Open You in a new tab") | POST /v1/search extraction\_mode=highlights | **38.5 ± 1.6** | 85.2 ± 2.7 | 26.9 ± 1.7 | 0.7 ± 1.3 |
| [You](https://you.com "Open You in a new tab") | POST /v1/search extraction\_mode=highlights · knowledge=core | **38.5 ± 2.4** | 78.2 ± 2.5 | 28.3 ± 3.0 | 3.7 ± 1.3 |
| [Tavily basic](https://tavily.com "Open Tavily basic in a new tab") | POST /search search\_depth=basic tavily-basic | **38.1 ± 1.4** | 81.2 ± 5.9 | 27.8 ± 0.7 | 2.2 ± 0.0 |
| [Parallel turbo](https://parallel.ai "Open Parallel turbo in a new tab") | POST /v1/search mode=turbo parallel-turbo | **36.0 ± 3.5** | 83.6 ± 4.0 | 25.0 ± 2.6 | 0.0 ± 0.0 |
| [Firecrawl](https://firecrawl.dev "Open Firecrawl in a new tab") | POST /v2/search firecrawl | **33.2 ± 2.1** | 83.3 ± 0.8 | 22.7 ± 1.8 | 1.5 ± 1.3 |
| [Nimble](https://www.nimbleway.com "Open Nimble in a new tab") | POST /v2/search search\_depth=standard · full\_content=false · focus=general · extract formats=\[markdown\] | **31.3 ± 1.8** | 73.2 ± 1.9 | 21.7 ± 1.6 | 1.5 ± 1.3 |
| [TinyFish](https://www.tinyfish.ai "Open TinyFish in a new tab") | GET api.search.tinyfish.ai tinyfish | **30.2 ± 3.5** | 70.9 ± 11.3 | 20.9 ± 2.5 | 0.0 ± 0.0 |
| [Brave Search](https://brave.com/search/api/ "Open Brave Search in a new tab") | GET /res/v1/web/search brave | **29.4 ± 1.6** | 73.5 ± 5.8 | 20.4 ± 0.9 | 1.5 ± 1.3 |
| [Nimble](https://www.nimbleway.com "Open Nimble in a new tab") | POST /v2/search search\_depth=lite · full\_content=false · focus=general · extract formats=\[markdown\] | **27.1 ± 1.5** | 68.5 ± 4.4 | 18.7 ± 0.9 | 2.2 ± 0.0 |
| [Seltz](https://seltz.ai "Open Seltz in a new tab") | POST /v1/search scope=companies seltz-companies | **16.3 ± 1.5** | 49.5 ± 2.4 | 10.2 ± 1.2 | 0.0 ± 0.0 |
| [SERP](https://rapidapi.com/herosAPI/api/google-search74 "Open SERP in a new tab") | GET google-search74.p.rapidapi.com serp | **0.0 ± 0.0** | 0.0 ± 0.0 | 0.0 ± 0.0 | 0.0 ± 0.0 |

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.

\[04\] faq

## Most accurate web search API for AI and LLM agents: FAQ

### What is the most accurate web search API for AI agents?

There is no single most accurate web search API for AI agents across tasks. This 2026 benchmark ranks the same vendors on three jobs — factual lookup, hard retrieval, and multi-hop search — and keeps the rankings separate. On factual lookup, Exa (type=fast) leads extracted-answer accuracy at 99.3%. On hard retrieval (search & fetch), Exa deep leads task completion at 83.0%. On multi-hop (search-only), Parallel basic leads F1 at 46.5%.

### What is the most accurate web search API for LLM agents?

Same board: the most accurate web search API for LLM agents depends on the task. Rankings for factual lookup, hard retrieval, and multi-hop search are not averaged. The model is held constant so the comparison isolates the search API.

### How is accuracy measured on each task?

Factual lookup (300 questions): extracted-answer accuracy, AR@1, AR@5\. Hard retrieval (100 documentation tickets): grounded task completion, search & fetch and search-only separately. Multi-hop (45 company-discovery questions): F1, precision, recall, and exact-set accuracy, search-only and search & fetch separately.

### Where are the fastest, cheapest, and most token-efficient rankings?

This page is accuracy only. [Fastest](https://openbenchmarks.com/web-search/fastest-search-api) · [Cheapest](https://openbenchmarks.com/web-search/cheapest-search-api) · [Most token-efficient](https://openbenchmarks.com/web-search/most-token-efficient-search-api).

Openbenchmarks open source code · public sample · held-out scoring set 

[← web search benchmark](https://openbenchmarks.com/web-search) [Exa vs Tavily](https://openbenchmarks.com/web-search/exa-vs-tavily) [Tavily vs Parallel](https://openbenchmarks.com/web-search/tavily-vs-parallel) [Brave Search vs Exa](https://openbenchmarks.com/web-search/brave-vs-exa) [Linkup vs Firecrawl](https://openbenchmarks.com/web-search/linkup-vs-firecrawl) [Parallel vs Exa](https://openbenchmarks.com/web-search/parallel-vs-exa) [Linkup vs Tavily](https://openbenchmarks.com/web-search/linkup-vs-tavily) [Exa vs Perplexity](https://openbenchmarks.com/web-search/exa-vs-perplexity) [Brave Search vs Tavily](https://openbenchmarks.com/web-search/brave-vs-tavily) [Exa vs Firecrawl](https://openbenchmarks.com/web-search/exa-vs-firecrawl) [Brave Search vs Parallel](https://openbenchmarks.com/web-search/brave-vs-parallel) [Perplexity vs Parallel](https://openbenchmarks.com/web-search/perplexity-vs-parallel) [You vs Parallel](https://openbenchmarks.com/web-search/you-com-vs-parallel) [Linkup vs Parallel](https://openbenchmarks.com/web-search/linkup-vs-parallel) [Firecrawl vs Parallel](https://openbenchmarks.com/web-search/firecrawl-vs-parallel) [TinyFish vs Parallel](https://openbenchmarks.com/web-search/tinyfish-vs-parallel) © 2026 Openbenchmarks