Tavily API Pricing, 2026
Tavily basic costs $8.00 per 1,000 queries, $9.13 per 1,000 correct answers at 87.7% accuracy, independently benchmarked Sep 26, 2026. It ranks 18 of 19 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.
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 | TinyFishfree · 30 req/min cap | 92.0% | 90.7% | 2.3 s | $0 | $0 | 441 | 208 | $0 / 1k queries |
| 2 | Parallel fastmode=fast | 86.0% | 79.0% | 861 ms | $1.00 | $1.16 | 1,839 | 46.8 | $1.00 / 1k queries |
| 3 | Parallel turbomode=turbo | 71.3% | 66.0% | 315 ms | $1.00 | $1.40 | 1,853 | 38.5 | $1.00 / 1k queries |
| 4 | Nimble litesearch_depth=lite · full_content=false · focus=general | 75.3% | 75.3% | 1.4 s | $1.10 | $1.46 | 413 | 183 | $1.10 / 1k queries |
| 5 | SERPlimit=10 | 96.0% | 95.0% | 578 ms | $3.00 | $3.13 | 497 | 193 | $3.00 / 1k queries |
| 6 | Perplexity lowsearch_context_size=low | 97.3% | 98.3% | 1.6 s | $5.00 | $5.14 | 476 | 205 | $5.00 / 1k queries |
| 7 | Linkup fastdepth=fast · outputType=searchResults | 96.7% | 94.7% | 1.2 s | $5.00 | $5.17 | 3,022 | 32.0 | $5.00 / 1k queries |
| 8 | Firecrawlfirecrawl-search | 95.3% | 96.7% | 471 ms | $5.00 | $5.24 | 678 | 141 | $5.00 / 1k queries |
| 9 | Brave Search llm-contextcount=10 | 94.0% | 94.7% | 590 ms | $5.00 | $5.32 | 2,064 | 45.6 | $5.00 / 1k queries |
| 10 | Parallel basicmode=basic | 93.3% | 92.0% | 1.8 s | $5.00 | $5.36 | 2,330 | 40.1 | $5.00 / 1k queries |
| 11 | Brave Search webcount=10 · result_filter=web | 93.3% | 91.7% | 613 ms | $5.00 | $5.36 | 817 | 114 | $5.00 / 1k queries |
| 12 | Nimble standardsearch_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 |
| 13 | Linkup standarddepth=standard · outputType=searchResults | 92.0% | 90.3% | 2.1 s | $5.00 | $5.43 | 2,983 | 30.8 | $5.00 / 1k queries |
| 14 | You highlights coreextraction_mode=highlights · knowledge=core | 92.0% | 89.7% | 815 ms | $5.00 | $5.43 | 2,862 | 32.1 | $5.00 / 1k queries |
| 15 | You highlightsextraction_mode=highlights | 90.7% | 89.7% | 614 ms | $5.00 | $5.51 | 2,837 | 32.0 | $5.00 / 1k queries |
| 16 | Exa fasttype=fast | 99.3% | 99.3% | 569 ms | $7.00 | $7.05 | 1,987 | 50.0 | $7.00 / 1k queries |
| 17 | Exa instanttype=instant | 97.7% | 97.3% | 386 ms | $7.00 | $7.17 | 2,128 | 45.9 | $7.00 / 1k queries |
| 18 | Tavily basicsearch_depth=basic | 87.7% | 87.7% | 1.7 s | $8.00 | $9.13 | 1,639 | 53.5 | $8.00 / 1k queries |
| 19 | Tavily advancedsearch_depth=advanced | 93.0% | 92.7% | 4.2 s | $16.00 | $17.20 | 2,210 | 42.1 | $16.00 / 1k queries |
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 | Tavily advancedsearch_depth=advanced | 60.0% | 3.4 s | 46.4 s | $0.15 | 26,269 | 2.28 | $16.00 / 1k queries |
| 2 | Tavily basicsearch_depth=basic | 59.0% | 1.5 s | 32.4 s | $0.11 | 27,405 | 2.15 | $8.00 / 1k queries |
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 | Tavily advancedtavily-advanced | 41.1% | 83.7% | 29.8% | 92.2 s | $1.03 | 237,706 | $16.00 / 1k queries |
| 2 | Tavily basictavily-basic | 36.5% | 82.5% | 25.7% | 63.0 s | $0.61 | 142,692 | $8.00 / 1k queries |
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 ↗ and openbenchmarks/OB-News-Websearch ↗. The full methodology is on the Web Search Benchmark →
Questions answered by this comparison
What does Tavily cost per 1,000 queries?
Tavily basic: $8.00 list per 1,000 queries, $9.13 per 1,000 correct answers at 87.7% accuracy. Tavily advanced: $16.00 list per 1,000 queries, $17.20 per 1,000 correct answers at 93.0% 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).