---
title: "Linkup API Pricing, Independently Benchmarked, 2026 | Openbenchmarks"
description: "Linkup fast costs $5.00 per 1,000 queries, $5.17 per 1,000 correct answers at 96.7% accuracy, independently benchmarked Oct 21, 2026. It ranks 6 of 17 on cost per correct answer."
url: https://openbenchmarks.com/web-search/linkup-api-pricing
---

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[benchmarks](https://openbenchmarks.com/) / [web search](https://openbenchmarks.com/web-search) / linkup api pricing 

independently benchmarked · 300 questions · updated Oct 21, 2026

# Linkup API Pricing, 2026

Linkup fast costs $5.00 per 1,000 queries, $5.17 per 1,000 correct answers at 96.7% accuracy, independently benchmarked Oct 21, 2026\. It ranks 6 of 17 on cost per correct answer.

**What this page compares.** This page ranks measured results from 3 boards: company-news factual lookup (web search APIs), coding-agent documentation tickets (search and page fetch) and multi-turn company search (search only).

**How to read the result.** The first table ranks every web search API by cost per 1,000 correct answers, the list price divided by accuracy, with the named vendor's configurations marked. The later tables show the same vendor's measured cost per task on the coding and company search boards.

\[01\] measured ranking

## Company-news factual lookup, web search APIs, ranked by cost per 1,000 correct answers

Every row ran the same 300 questions. Provider names link to the official docs for the configuration measured.

| Rank | Provider | Accuracy | Answer recall @5 | Median search time | $ / 1k queries | $ / 1k correct | Result tokens | Accuracy / 1k tokens | List price |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | [TinyFish](https://docs.tinyfish.ai/search-api) free · 30 req/min cap | **92.0%** | 90.7% | 2.3 s | $0 | $0 | 441 | 208 | [$0 / 1k queries](https://www.tinyfish.ai/pricing) |
| 2 | [Nimble lite](https://docs.nimbleway.com/api-reference/search/search) search\_depth=lite · full\_content=false · focus=general | **94.3%** | 93.7% | 1.6 s | $1.10 | $1.17 | 860 | 110 | [$1.10 / 1k queries](https://www.nimbleway.com/pricing) |
| 3 | [SERP](https://rapidapi.com/herosAPI/api/google-search74) limit=10 | **96.0%** | 95.0% | 578 ms | $3.00 | $3.13 | 497 | 193 | [$3.00 / 1k queries](https://rapidapi.com/herosAPI/api/google-search74/pricing) |
| 4 | [Context](https://docs.context.dev/search/overview) numResults=10 · highlights maxCharacters=1200 | **98.0%** | 98.3% | 14.0 s | $4.40 | $4.49 | 1,972 | 49.7 | [$4.40 / 1k queries](https://www.context.dev/pricing) |
| 5 | [Perplexity low](https://docs.perplexity.ai/api-reference/search-post) search\_context\_size=low | **97.3%** | 98.3% | 1.6 s | $5.00 | $5.14 | 476 | 205 | [$5.00 / 1k queries](https://docs.perplexity.ai/docs/getting-started/pricing) |
| 6 | [Linkup fast](https://docs.linkup.so/pages/documentation/endpoints/search/overview) depth=fast · outputType=searchResults | **96.7%** | 94.7% | 1.2 s | $5.00 | $5.17 | 3,022 | 32.0 | [$5.00 / 1k queries](https://docs.linkup.so/pages/documentation/platform/pricing) |
| 7 | [Firecrawl](https://docs.firecrawl.dev/api-reference/endpoint/search) firecrawl-search | **95.3%** | 96.7% | 471 ms | $5.00 | $5.24 | 678 | 141 | [$5.00 / 1k queries](https://www.firecrawl.dev/pricing) |
| 8 | [Brave Search llm-context](https://api-dashboard.search.brave.com/documentation/services/llm-context) count=10 | **94.0%** | 94.7% | 590 ms | $5.00 | $5.32 | 2,064 | 45.6 | [$5.00 / 1k queries](https://api-dashboard.search.brave.com/documentation/pricing) |
| 9 | [Brave Search web](https://api-dashboard.search.brave.com/documentation/services/web-search) count=10 · result\_filter=web | **93.3%** | 91.7% | 613 ms | $5.00 | $5.36 | 817 | 114 | [$5.00 / 1k queries](https://api-dashboard.search.brave.com/documentation/pricing) |
| 10 | [Nimble standard](https://docs.nimbleway.com/api-reference/search/search) search\_depth=standard · full\_content=false · focus=general | **93.0%** | 94.3% | 822 ms | $5.00 | $5.38 | 2,730 | 34.1 | [$5.00 / 1k queries](https://www.nimbleway.com/pricing) |
| 11 | [Linkup standard](https://docs.linkup.so/pages/documentation/endpoints/search/overview) depth=standard · outputType=searchResults | **92.0%** | 90.3% | 2.1 s | $5.00 | $5.43 | 2,983 | 30.8 | [$5.00 / 1k queries](https://docs.linkup.so/pages/documentation/platform/pricing) |
| 12 | [You highlights core](https://docs.you.com/) extraction\_mode=highlights · knowledge=core | **92.0%** | 89.7% | 815 ms | $5.00 | $5.43 | 2,862 | 32.1 | [$5.00 / 1k queries](https://you.com/docs/administration/billing) |
| 13 | [You highlights](https://docs.you.com/) extraction\_mode=highlights | **90.7%** | 89.7% | 614 ms | $5.00 | $5.51 | 2,837 | 32.0 | [$5.00 / 1k queries](https://you.com/docs/administration/billing) |
| 14 | [Exa fast](https://docs.exa.ai/reference/search) type=fast | **99.3%** | 99.3% | 569 ms | $7.00 | $7.05 | 1,987 | 50.0 | [$7.00 / 1k queries](https://exa.ai/pricing?tab=api) |
| 15 | [Exa instant](https://docs.exa.ai/reference/search) type=instant | **97.7%** | 97.3% | 386 ms | $7.00 | $7.17 | 2,128 | 45.9 | [$7.00 / 1k queries](https://exa.ai/pricing?tab=api) |
| 16 | [Tavily basic](https://docs.tavily.com/documentation/api-reference/endpoint/search) search\_depth=basic | **87.7%** | 87.7% | 1.7 s | $8.00 | $9.13 | 1,639 | 53.5 | [$8.00 / 1k queries](https://docs.tavily.com/documentation/api-credits) |
| 17 | [Tavily advanced](https://docs.tavily.com/documentation/api-reference/endpoint/search) search\_depth=advanced | **93.0%** | 92.7% | 4.2 s | $16.00 | $17.20 | 2,210 | 42.1 | [$16.00 / 1k queries](https://docs.tavily.com/documentation/api-credits) |

### Coding-agent documentation tickets, search and page fetch, ranked by task completion

| Rank | Provider | Task completion | Mean search time | Median task time | Median cost / task | Median task tokens | Completion / 1k tokens | List price |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | [Linkup standard](https://docs.linkup.so/api/search) depth=standard | **48.3%** | 2.0 s | 48.2 s | $0.15 | 57,791 | 0.84 | [$5.00 / 1k queries](https://docs.linkup.so/pages/documentation/platform/pricing) |

### Multi-turn company search, search only, ranked by F1

| Rank | Provider | F1 | Precision | Recall | Median task time | Median cost / task | Median task tokens | List price |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | [Linkup fast](https://docs.linkup.so/pages/documentation/endpoints/search/overview) linkup-fast | **41.1%** | 82.8% | 30.3% | 64.2 s | $0.92 | 259,642 | [$5.00 / 1k queries](https://docs.linkup.so/pages/documentation/platform/pricing) |
| 2 | [Linkup standard](https://docs.linkup.so/pages/documentation/endpoints/search/overview) linkup-standard | **40.6%** | 84.0% | 29.7% | 72.3 s | $0.94 | 249,382 | [$5.00 / 1k queries](https://docs.linkup.so/pages/documentation/platform/pricing) |

\[02\] how it was measured

## How the ranking was measured

* Every API received the same natural-language question about a recent company event, one search per question, up to 10 results.
* Each answer is a single verifiable value pinned to an official wire or newsroom URL, fixed before any vendor ran.
* Accuracy is whether the returned results let the same answering model extract the correct value.
* Latency is the search request time. Cost is the recorded list price for the calls made, per 1,000 queries and per 1,000 correct answers.
* The runner and published data are open in [openbenchmarks-labs/factual-lookup-company-news-search ↗](https://github.com/openbenchmarks-labs/factual-lookup-company-news-search) and [openbenchmarks/OB-News-Websearch ↗](https://huggingface.co/datasets/openbenchmarks/OB-News-Websearch). The full methodology is on the [Web Search Benchmark →](https://openbenchmarks.com/web-search#methodology-factual-lookup)

\[03\] faq

## Questions answered by this comparison

### What does Linkup cost per 1,000 queries?

Linkup fast: $5.00 list per 1,000 queries, $5.17 per 1,000 correct answers at 96.7% accuracy. Linkup standard: $5.00 list per 1,000 queries, $5.43 per 1,000 correct answers at 92.0% accuracy.

### How was this measured?

Every API received the same natural-language question about a recent company event, one search per question, up to 10 results. Each answer is a single verifiable value pinned to an official wire or newsroom URL, fixed before any vendor ran. Accuracy is whether the returned results let the same answering model extract the correct value. Latency is the search request time. Cost is the recorded list price for the calls made, per 1,000 queries and per 1,000 correct answers.

### How should speed and cost be read beside the score?

TinyFish recorded 2.3 s median search time and $0 per 1,000 queries. The most accurate configuration is rarely the fastest or the cheapest, so each is reported in its own column.

### Do vendors pay to be ranked?

No. Inclusion and rank do not depend on vendor payments. Every API used the same questions, answering model and scoring.

### What does this page not test?

This page ranks measured results from 3 boards: company-news factual lookup (web search APIs), coding-agent documentation tickets (search and page fetch) and multi-turn company search (search only).

\[04\] related comparisons

## Related pages

* [Web Search Benchmark: full leaderboard and methodology →](https://openbenchmarks.com/web-search)
* [Tavily API Pricing](https://openbenchmarks.com/web-search/tavily-api-pricing)
* [Exa API Pricing](https://openbenchmarks.com/web-search/exa-api-pricing)
* [Parallel Search API Pricing](https://openbenchmarks.com/web-search/parallel-search-api-pricing)
* [Brave Search API Pricing](https://openbenchmarks.com/web-search/brave-search-api-pricing)
* [Best Web Search API](https://openbenchmarks.com/web-search/best-web-search-api)
* [Best Search API](https://openbenchmarks.com/web-search/best-search-api)
* [Every web search comparison →](https://openbenchmarks.com/web-search/comparisons)

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