# Parallel vs. SerpApi

SerpApi returns a parsed copy of a search results page. Parallel returns ranked excerpts from the pages themselves. For agents that need web context, Parallel scored higher in the same harness at a lower price per search. For rank tracking, ads, and Google verticals, SerpApi is the right tool.

[Start building for free](https://platform.parallel.ai/) 

[Search price per 1,000, self-serve plans: $1 vs. $1.96 to $25](#cost) [BrowseComp, same GPT-5.4 agent: 51% vs. 23.3%](#accuracy) [Search latency p50, BrowseComp run: 216ms vs. 999ms](#speed)

Last updated October 14, 2026

## What does Parallel do?

Parallel is one developer platform covering search, extraction, research, entity discovery, and monitoring. On the agentic endpoints, every field comes back with a citation and a confidence score.

* [At a glance](#at-a-glance)
* [Output](#output)
* [Accuracy](#accuracy)
* [Cost](#cost)
* [Plans](#serpapi-pricing)
* [Speed](#speed)
* [Features](#features)
* [Which to pick](#decision)

## Parallel vs. SerpApi at a glance

Published list prices and documented capabilities as of October 14, 2026, plus Parallel’s July 2026 benchmark run.

__Parallel and SerpApi compared at a glance__
| Dimension                             | Parallel                                                     | SerpApi                                                             |
| ------------------------------------- | ------------------------------------------------------------ | ------------------------------------------------------------------- |
| Search list price, per 1,000 requests | $1 Turbo or Fast, $5 Basic or Advanced (Leads)               | $1.96 to $25, by monthly plan                                       |
| What a search returns                 | Ranked URLs with excerpts from each page body (Leads)        | The results page as JSON or markdown, with snippets                 |
| BrowseComp, Parallel’s July 2026 run  | 51% (Turbo) (Leads)                                          | 23.3% (search only)                                                 |
| Free tier                             | $5 in credits every month, about 5,000 Fast searches (Leads) | 250 searches a month                                                |
| Engines and verticals                 | Web search and Image Search                                  | 100+ APIs across Google, Bing, Amazon, YouTube, and more (Leads)    |
| Exact Google SERP data                | No positions, ads, or SERP features                          | Positions, ads, local pack, knowledge graph, AI Overview (Leads)    |
| Legal indemnity                       | Not offered                                                  | U.S. Legal Shield, up to $2 million, Production plan and up (Leads) |

Sources: [Parallel pricing](https://parallel.ai/pricing), [Parallel Search docs](https://docs.parallel.ai/search/search-quickstart), [Parallel Search Turbo benchmark run](https://parallel.ai/blog/parallel-search-turbo)

## Excerpts from the page, not a copy of the results page

SerpApi runs your query against a search engine and parses what comes back. A Google organic result carries a position, title, link, and the one or two line snippet a person sees in the results list. The response also carries ads, the local pack, the knowledge graph, related questions, and whatever else Google showed. Every SerpApi API can also return that page as markdown with output=md, which SerpApi says averages about 50% fewer tokens than its JSON.

Parallel Search takes one or more keyword queries plus an optional objective in plain language, and returns ranked URLs with excerpts pulled from the body of each page and selected against that intent. Ten results are included per request. You cap the text with max\_chars\_per\_result and max\_chars\_total, and a fetch policy decides when to read a page live instead of from the index. There are no result positions, because it does not reproduce a results page.

A snippet is rarely enough for a model to answer from, so a SERP pipeline for agents has a second half: fetch the top pages, strip the boilerplate, and trim what is left to fit the prompt. SerpApi launched an Extract API on October 13, 2026 that covers the fetch and parse, at one search credit per page, returning JSON or markdown. It does not run JavaScript. Trimming each page to the passages that matter is still your code.

Sources: [Parallel Search docs](https://docs.parallel.ai/search/search-quickstart), [Parallel Search API reference](https://docs.parallel.ai/api-reference/search/search), [Parallel Extract docs](https://docs.parallel.ai/extract/extract-quickstart)

## Higher accuracy in the same agent harness on five suites

Parallel’s Turbo launch run, July 10 to 12, 2026, gave every provider the same GPT-5.4 agent with up to 20 tool calls, graded by an LLM judge. Parallel Turbo scored higher than SerpApi on all five suites: 51% against 23.3% on BrowseComp, 52.7% against 40% on HLE, 75.7% against 50.7% on WebWalker, 91% against 76.7% on SimpleQA, and 79.7% against 54% on a coding set.

One caveat changes how to read the multi-hop numbers. The harness gave a page fetch tool only to providers with an extract API, and SerpApi had none in July, so its agent saw snippets alone. SerpApi’s Extract API, launched October 13, 2026, would let a rerun fetch pages, and its scores could rise. SimpleQA is the cleanest comparison: a single search, the same 1,000 character content budget per result for every engine, and a 14.3 point gap.

SerpApi was cheaper to run in that harness on three of five suites. Total cost, model tokens plus tool calls, was $296 per 1,000 BrowseComp questions against $350 for Turbo, $250 against $298 on HLE, and $6 against $8 on SimpleQA. Turbo cost less on WebWalker, $82 against $124, and the two tied at $131 on coding. Neither Artificial Analysis nor Openbenchmarks tests SerpApi, so test both on your own queries.

Sources: [Parallel Search Turbo benchmark run](https://parallel.ai/blog/parallel-search-turbo)

+27.7 points on BrowseComp, same GPT-5.4 agent

BrowseComp

Higher is better

Parallel: 51%

SerpApi: 23.3%

HLE

Higher is better

Parallel: 52.7%

SerpApi: 40%

WebWalker

Higher is better

Parallel: 75.7%

SerpApi: 50.7%

SimpleQA, equal content budget

Higher is better

Parallel: 91%

SerpApi: 76.7%

Coding

Higher is better

Parallel: 79.7%

SerpApi: 54%

Parallel-run evaluation, July 10 to 12, 2026, best observed score per provider across sessions. Multi-hop suites: a GPT-5.4 agent with up to 20 tool calls, search plus a fetch tool for providers with an extract API, so SerpApi ran search only. SimpleQA: the raw question sent as one search, 10 results with about 1,000 characters each for every engine, answered by GPT-5.4 from the results alone. All suites graded by a GPT-5.4 judge. Parallel Turbo against SerpApi in the same harness.

## Page-level context for a fraction of the API spend

Per search, SerpApi costs $1.96 to $25 per 1,000 on its self-serve plans, depending on the plan you buy. That is $10 on the $150 Production plan, $7.25 on the $725 Searcher plan, and $3.75 on Cloud 1M at $3,750 a month. Parallel Search costs $1 per 1,000 on Turbo or Fast and $5 on Basic or Advanced, with no plan, and every request includes excerpts from 10 results.

The fairer unit for an agent is a lookup that ends with page text in front of the model. This estimate assumes the agent reads the top five results. On SerpApi that is one Google search plus five Extract calls, 6 credits, or $22.50 per 1,000 lookups at the Cloud 1M rate and $60 at the Production rate. On Parallel, one Fast search returns excerpts for $1 per 1,000\. Fetching the same five full pages with Parallel Extract at $1 per 1,000 URLs brings it to $6.

The estimate leaves out two costs. Tokens depend on how much page text you pass the model, and on SerpApi that is whatever your trimming code keeps, while Parallel caps it with max\_chars\_total. Engineering time for the fetch and trim stage is yours too. SerpApi charges nothing for an identical search repeated within an hour, or for a failed search.

Sources: [Parallel pricing](https://parallel.ai/pricing), [Parallel pricing docs](https://docs.parallel.ai/getting-started/pricing), [Parallel Extract docs](https://docs.parallel.ai/extract/extract-quickstart), [Parallel Search Turbo benchmark run](https://parallel.ai/blog/parallel-search-turbo)

6 credits per SerpApi lookup that reads five pages, against one Parallel call

Search, per 1,000, SerpApi Cloud 1M rate

Lower is better

Parallel: $1

SerpApi: $3.75

Five-page lookup, per 1,000, Cloud 1M rate

Lower is better

Parallel: $6

SerpApi: $22.50

Five-page lookup, per 1,000, Production

Lower is better

Parallel: $6

SerpApi: $60

Measured BrowseComp cost, per 1,000

Lower is better

Parallel: $350

SerpApi: $296

Estimate, from list prices read October 14, 2026\. SerpApi rate per credit is plan price over searches: Production $150 for 15,000 is $0.01, Cloud 1M $3,750 for 1,000,000 is $0.00375\. A five-page lookup is 1 Google search plus 5 Extract API pages, 6 credits: $0.06 on Production and $0.0225 on Cloud 1M, or $60 and $22.50 per 1,000\. Parallel: 1 Fast search at $0.001 plus 5 Extract URLs at $0.001 each is $0.006, or $6 per 1,000\. Both exclude model tokens and engineering time. The measured row is Parallel’s July 2026 run, tokens plus tool calls, with SerpApi running search only.

## How much does SerpApi cost?

SerpApi sells monthly plans, month to month. Each plan includes a number of searches and an hourly throughput cap, and one successful search uses one credit whatever it returns. A free plan includes 250 searches a month. Paid plans run from $25 for 1,000 searches to $106,050 for 54 million, so 1,000 searches cost $25 at the entry plan and $1.96 at the largest self-serve plan.

__SerpApi plans, searches, throughput, and cost per 1,000 searches__
| Plan           | Monthly price | Searches per month | Searches per hour | Per 1,000 searches | U.S. Legal Shield |
| -------------- | ------------- | ------------------ | ----------------- | ------------------ | ----------------- |
| Free           | $0            | 250                | 50                | Free up to 250     | No                |
| Starter        | $25           | 1,000              | 200               | $25                | No                |
| Developer      | $75           | 5,000              | 1,000             | $15                | No                |
| Production     | $150          | 15,000             | 3,000             | $10                | Yes               |
| Big Data       | $275          | 30,000             | 6,000             | $9.17              | Yes               |
| Searcher       | $725          | 100,000            | 20,000            | $7.25              | Yes               |
| Volume         | $1,475        | 250,000            | 50,000            | $5.90              | Yes               |
| Infrastructure | $2,750        | 500,000            | 100,000           | $5.50              | Yes               |
| Cloud 1M       | $3,750        | 1,000,000          | 110,000           | $3.75              | Yes               |
| Cloud 5M       | $11,475       | 5,000,000          | 150,000           | $2.30              | Yes               |
| Cloud 54M      | $106,050      | 54,000,000         | 640,000           | $1.96              | Yes               |
| Enterprise     | Custom        | Custom             | Custom            | Custom             | Yes               |

Best Effort prices. Cloud plans step by 1 million searches from 1M to 54M. Ludicrous Speed doubles each price and Ludicrous Speed Max quadruples it.

Every SerpApi API draws from the same balance, including the new Extract API at one credit per page, so reading five result pages after a search uses 6 credits. Markdown output costs the same as JSON. Cached searches, identical requests repeated within an hour, are free, and errored or failed searches do not count. ZeroTrace Mode, which stores no search data, comes with the Cloud plans and Enterprise.

Parallel charges per request, with no plans or credits. Search costs $1 per 1,000 requests on Turbo or Fast and $5 per 1,000 on Basic or Advanced, with excerpts from 10 results included, and Extract costs $1 per 1,000 URLs. New accounts get up to $80 in credits at signup and $5 more each month.

For a wider comparison that adds Brave and Bing, read [Parallel vs. SerpApi vs. Brave vs. Bing](/ai/articles/parallel-vs-serpapi-vs-brave-vs-bing).

Sources: [serpapi.com/pricing](https://serpapi.com/pricing), [serpapi.com/extract-api](https://serpapi.com/extract-api), [serpapi.com/markdown-output](https://serpapi.com/markdown-output), [serpapi.com/search-api](https://serpapi.com/search-api), [serpapi.com/search-api/api-metrics](https://serpapi.com/search-api/api-metrics), [serpapi.com/ludicrous-speed](https://serpapi.com/ludicrous-speed), [parallel.ai/pricing](https://parallel.ai/pricing), [docs.parallel.ai/getting-started/pricing](https://docs.parallel.ai/getting-started/pricing), checked October 14, 2026.

## Sub-second search calls without paying for a faster tier

In Parallel’s July 2026 run, measured from a client in us-central, Parallel Turbo’s median search call took 216 to 240ms across the five suites. SerpApi’s took 652 to 999ms. Parallel documents Turbo at about 200ms and Fast at about 700ms, both at $1 per 1,000.

SerpApi publishes rolling metrics for each API. On October 14, 2026, its Google Search API page showed a 30-day average response time of 8.49 seconds and a 93.9% success rate. Its all-engine average was 1.39 seconds. Averages include slow outliers that a median hides, so these figures and the July medians measure different things. SerpApi sells Ludicrous Speed at twice the plan price, which it says is 2.2 times faster on average.

Throughput works differently too. SerpApi sets an hourly cap by plan, from 200 searches an hour on Starter and 3,000 on Production to 640,000 on Cloud 54M, and recommends spreading searches evenly across the hour. Parallel allows 600 searches per minute, or 36,000 an hour, on every account, with custom limits on enterprise plans. From the $1,475 Volume plan up, SerpApi’s hourly cap is higher.

Sources: [Parallel Search Turbo benchmark run](https://parallel.ai/blog/parallel-search-turbo), [Parallel Search modes](https://docs.parallel.ai/search/modes), [Parallel rate limits](https://docs.parallel.ai/getting-started/rate-limits)

216ms Turbo p50 search call on BrowseComp, against 999ms

Search latency p50, BrowseComp run

Lower is better

Parallel: 216ms

SerpApi: 999ms

Search latency p50, SimpleQA run

Lower is better

Parallel: 240ms

SerpApi: 652ms

Parallel-run evaluation, July 10 to 12, 2026\. Latency is the client-side wall clock around a single search API request from us-central, p50 across all questions, best across runs. SerpApi’s 30-day averages are from its own API metrics pages, read October 14, 2026.

## Feature by feature

Pricing, output, performance, integrations, and compliance, side by side.

### Pricing and total cost

Parallel bills per request at the mode you pick. SerpApi sells monthly plans, and the per-search rate falls as the plan grows. Page fetches draw from the same SerpApi balance.

__Pricing and total cost: Parallel compared with SerpApi__
| Feature                                                   | Parallel                                                          | SerpApi                                           |
| --------------------------------------------------------- | ----------------------------------------------------------------- | ------------------------------------------------- |
| Search, per 1,000                                         | $1 Turbo or Fast, $5 Basic or Advanced (Leads)                    | $25 on Starter down to $1.96 on Cloud 54M         |
| Page content                                              | Excerpts in every result, full pages at $1 per 1,000 URLs (Leads) | Extract API, one credit per page                  |
| Search plus five full pages, per 1,000 lookups (estimate) | $6 (Leads)                                                        | $22.50 on Cloud 1M, $60 on Production             |
| Repeated identical searches                               | Billed per request                                                | Free when cached, within one hour (Leads)         |
| Results billed per call                                   | 10 included, more at $1 per 1,000                                 | One credit per page of results, whatever it holds |
| Pricing model                                             | Pay per request, no plan                                          | Monthly plans from $25 to $106,050                |
| Free tier                                                 | Up to $80 at signup, plus $5 every month (Leads)                  | 250 searches a month                              |

Sources: [Parallel pricing](https://parallel.ai/pricing), [Parallel pricing docs](https://docs.parallel.ai/getting-started/pricing)

### What each API returns

SerpApi reproduces search engines, results page by results page, across far more engines and verticals. Parallel returns page text chosen for a model, plus research, entity discovery, and monitoring APIs.

__What each API returns: Parallel compared with SerpApi__
| Feature                              | Parallel                                              | SerpApi                                                                         |
| ------------------------------------ | ----------------------------------------------------- | ------------------------------------------------------------------------------- |
| Input                                | Keyword queries plus an optional objective            | A query string plus engine parameters                                           |
| Output                               | Ranked URLs, titles, dates, and markdown excerpts     | Parsed results page as JSON or markdown                                         |
| Result positions and SERP features   | Not returned                                          | Positions, ads, local pack, knowledge graph, related questions (Leads)          |
| Engines                              | One web search index                                  | Google, Bing, Baidu, Yandex, DuckDuckGo, Naver, Yahoo, and more (Leads)         |
| Verticals                            | Web pages and images                                  | Maps, Shopping, Scholar, Flights, Hotels, Jobs, Trends, Amazon, YouTube (Leads) |
| Geo targeting                        | Country code                                          | City-level location, GPS coordinates, country, and language (Leads)             |
| Site map and crawl                   | No crawl endpoint                                     | Extract API map and crawl modes, up to 100 pages (Leads)                        |
| Excerpt size control                 | max\_chars\_per\_result and max\_chars\_total (Leads) | Section filters and CSS selectors on Extract                                    |
| Research, enrichment, and monitoring | Task, FindAll, and Monitor APIs (Leads)               | Not in SerpApi’s API list                                                       |

Sources: [Parallel Search docs](https://docs.parallel.ai/search/search-quickstart), [Parallel Search API reference](https://docs.parallel.ai/api-reference/search/search), [Parallel Extract docs](https://docs.parallel.ai/extract/extract-quickstart), [Parallel Task docs](https://docs.parallel.ai/task-api/task-quickstart), [Parallel FindAll docs](https://docs.parallel.ai/findall-api/findall-quickstart), [Parallel Monitor docs](https://docs.parallel.ai/monitor-api/monitor-quickstart)

### Performance and scale

In Parallel’s July 2026 run Turbo was more accurate and quicker per call on all five suites, while SerpApi’s search-only agent cost less on three. SerpApi’s larger plans allow more searches per hour than Parallel’s default.

__Performance and scale: Parallel compared with SerpApi__
| Feature                                            | Parallel                                        | SerpApi                                                         |
| -------------------------------------------------- | ----------------------------------------------- | --------------------------------------------------------------- |
| Search latency, measured p50                       | 216 to 240ms (Turbo) across five suites (Leads) | 652 to 999ms across the same five                               |
| Search latency, advertised                         | About 200ms Turbo, about 700ms Fast             | Ludicrous Speed, 2.2 times faster on average at twice the price |
| BrowseComp, July 2026 run                          | 51% Turbo (Leads)                               | 23.3%, search only                                              |
| SimpleQA at an equal content budget                | 91% Turbo (Leads)                               | 76.7%                                                           |
| Measured run cost, BrowseComp, per 1,000 questions | $350                                            | $296, search only (Leads)                                       |
| Throughput at about $150 a month                   | 600 searches per minute (Leads)                 | 3,000 searches per hour on Production                           |
| Throughput on the largest self-serve plans         | 600 per minute, custom on enterprise            | Up to 640,000 searches per hour (Leads)                         |

Sources: [Parallel Search Turbo benchmark run](https://parallel.ai/blog/parallel-search-turbo), [Parallel Search modes](https://docs.parallel.ai/search/modes), [Parallel rate limits](https://docs.parallel.ai/getting-started/rate-limits)

### Integrations and developer experience

SerpApi ships client libraries in more languages. Both offer a hosted MCP server and a CLI. Parallel keeps one response shape across queries and adds an OpenAI-compatible route.

__Integrations and developer experience: Parallel compared with SerpApi__
| Feature                 | Parallel                                                 | SerpApi                                                                 |
| ----------------------- | -------------------------------------------------------- | ----------------------------------------------------------------------- |
| Client libraries        | Python and TypeScript                                    | Python, JavaScript, Ruby, Go, PHP, Java, Rust, .NET, Swift, C++ (Leads) |
| MCP                     | Free hosted Search MCP, no key needed (Leads)            | Hosted MCP server with an API key                                       |
| CLI                     | Search, extraction, research, enrichment, and monitoring | SerpApi CLI                                                             |
| Response shape          | One schema for every search (Leads)                      | Varies by engine                                                        |
| Markdown for models     | Excerpts formatted as markdown                           | output=md on every API                                                  |
| OpenAI-compatible route | Responses API with streaming and follow-ups (Leads)      | Not documented                                                          |

Sources: [Parallel MCP docs](https://docs.parallel.ai/integrations/mcp/quickstart), [Parallel CLI docs](https://docs.parallel.ai/integrations/cli), [Parallel Responses docs](https://docs.parallel.ai/responses-api/responses-quickstart), [Parallel Search docs](https://docs.parallel.ai/search/search-quickstart)

### Security, compliance, and legal

Both hold SOC 2 Type II. SerpApi lists more ISO certifications and offers legal indemnity for scraping. Parallel offers a HIPAA-ready option.

__Security, compliance, and legal: Parallel compared with SerpApi__
| Feature                      | Parallel                     | SerpApi                                                        |
| ---------------------------- | ---------------------------- | -------------------------------------------------------------- |
| SOC 2 Type II                | Yes                          | Yes                                                            |
| Other certifications         | Not listed in these sources  | SOC 3, ISO 27001, ISO 42001 (Leads)                            |
| HIPAA                        | HIPAA-ready offering (Leads) | Not listed on its security page                                |
| Zero data retention          | Enterprise                   | ZeroTrace Mode on Cloud plans and Enterprise                   |
| Legal indemnity for scraping | Not offered                  | U.S. Legal Shield, up to $2 million, Production and up (Leads) |
| Published SLA                | Enterprise contract only     | Up to 99.97% advertised                                        |

Sources: [Parallel Trust Center](https://trust.parallel.ai), [Parallel pricing](https://parallel.ai/pricing)

## Which one should you pick?

They solve different problems. SerpApi is the tool when the results page is the data. Parallel is the tool when a model needs to read the web.

### Pick Parallel when

* Your agent needs page text to answer from, not a list of snippets and links.
* You want one call per lookup instead of a search, fetch, and trim pipeline to run.
* You want a flat per-request price with no monthly plan to size.
* You need sub-second search calls without buying a faster tier.
* You want research, entity discovery, and monitoring from the same provider.

### Pick SerpApi when

* You track rankings, ads, or SERP features, where the position on the page is the data point.
* You need Google Maps, Shopping, Scholar, Flights, Hotels, Jobs, or Trends data, or other engines such as Bing, Amazon, and YouTube.
* You need what a searcher in a given city saw, down to the location and language.
* Your legal team wants indemnity for collecting search engine data.
* You run more than 36,000 searches an hour on a self-serve plan, or repeat the same searches often enough for the free cache to matter.

## Moving agent search from SerpApi

Most teams keep SerpApi for SEO and vertical data and move the agent path. Port the calls where a model reads the result, and leave the rest.

[Start your migration](https://platform.parallel.ai/) [Talk to our team](https://contact.parallel.ai/)

1. 01  
### Split the calls by job  
Calls that feed a rank tracker, an ad monitor, or a vertical such as Maps or Shopping stay on SerpApi. Calls whose results end up in a prompt are the ones to move.
2. 02  
### Replace the search, fetch, and trim chain  
Pass your tuned keywords as search\_queries and add an objective that states what the agent is trying to learn. Set max\_chars\_total to the context budget you trimmed to before. Call Extract only when the agent needs a full page.
3. 03  
### Map the parameters  
Location becomes a country code, and city-level targeting has no equivalent. Pagination becomes max\_results. A fetch policy with max\_age\_seconds replaces no\_cache when you need fresh pages.
4. 04  
### Validate before you commit  
New accounts earn up to $80 at signup plus $5 in credits every month, enough to run your own query mix through both pipelines first.

## FAQ

* **Is Parallel better than SerpApi?**  
For agents that read web content, yes. In Parallel’s July 2026 run Turbo scored higher on all five suites, 51% against 23.3% on BrowseComp, with quicker search calls. SerpApi ran search only there. For rank tracking, ads, Google verticals, and other engines, SerpApi is the better tool, and Parallel does not try to replace it.
* **Parallel vs. SerpApi: which is cheaper?**  
Per search, Parallel at list prices: $1 per 1,000 on Turbo or Fast against $1.96 to $25 on SerpApi’s self-serve plans. With five full pages per lookup, this page estimates $6 per 1,000 on Parallel against $22.50 on SerpApi Cloud 1M. In Parallel’s July run, SerpApi’s search-only agent cost less on three of five suites.
* **How much does SerpApi cost?**  
SerpApi has a free plan with 250 searches a month. Paid plans start at $25 for 1,000 searches and $150 for 15,000, and run to $3,750 for 1 million and $106,050 for 54 million. That is $25 to $1.96 per 1,000 searches. Ludicrous Speed doubles the price. Parallel Search costs $1 per 1,000 on Turbo or Fast.
* **Can SerpApi return page content now?**  
Yes. SerpApi launched an Extract API on October 13, 2026\. It fetches a public page and returns JSON or markdown at one search credit per page, and can map or crawl a site. It does not run JavaScript. Parallel Search returns excerpts from each page in the search response, and Parallel Extract returns full pages at $1 per 1,000 URLs.
* **Is SerpApi faster than Parallel?**  
Not in Parallel’s July 2026 run. Turbo’s median search call took 216 to 240ms across five suites against 652 to 999ms for SerpApi. SerpApi’s own metrics page showed a 30-day average of 8.49 seconds for its Google Search API on October 14, 2026\. Its Ludicrous Speed option, at twice the price, is 2.2 times faster on average, per SerpApi.
* **Where does SerpApi still win?**  
Engine and vertical coverage, exact Google results pages with positions and SERP features, and city-level geo targeting. It also offers U.S. Legal Shield indemnity, free cached repeats, more client libraries, ISO 27001, and higher hourly caps on its largest plans. Its search-only agent cost less than Turbo on three of five suites in Parallel’s July run.
* **Has an independent evaluator compared them?**  
Not that this review found. Artificial Analysis and Openbenchmarks do not test SerpApi, and Openbenchmarks’ Google SERP row is a different vendor. The figures here come from Parallel’s own July 2026 run, which publishes its method and test dates. Run both on your own queries before you decide.
* **How current is this comparison?**  
Parallel read SerpApi’s pricing page, API docs, and metrics pages on October 14, 2026, this page’s last update, the day after SerpApi launched its Extract API. Benchmark figures come from Parallel’s July 10 to 12, 2026 run, before that launch. Both products ship often, so check the linked sources.

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