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Exa vs Tavily

A side-by-side comparison to help you choose between Exa and Tavily.

 ExaTavily
DescriptionAI-native search API for agents combining semantic web search, content extraction, deep research, and structured data.Secure real-time web access API for AI agents, combining search, extraction, crawling, mapping, and cited research.
Category搜索研究与知识管理搜索研究与知识管理
Pricingfreemium · Exa is priced mainly as usage-based API infrastructure. The public pricing page lists a Free Tier, Search at $7 per 1,000 requests, Contents at $1 per 1,000 pages per content type, Deep Search at $12-15 per 1,000 requests, Monitors at $15 per 1,000 requests, Answer at $5 per 1,000 requests, and Agent runs from $0.012 to $1.00 per fixed-effort request. Enterprise is custom and adds higher limits, custom indexes, custom QPS, moderation, SLAs, MSAs, onboarding, Zero Data Retention, and volume discounts. Official pages currently use two free-tier descriptions: the pricing page says "up to 20,000 requests per month for free," while the Billing documentation says new accounts receive $10 onboarding credits and accounts with a payment method receive $7 monthly credits that expire at month end. Treat dashboard billing as the final source before committing production volume. freemium · Tavily uses a credit-based API pricing model. The free Researcher tier includes 1,000 API credits per month with no credit card required. Pay As You Go costs $0.008 per credit. Monthly plans lower the effective credit price from $0.0075 to $0.005 per credit: Project is $30/month for 4,000 credits, Bootstrap is $100/month for 15,000 credits, Startup is $220/month for 38,000 credits, and Growth is $500/month for 100,000 credits. Enterprise is custom. Credit burn depends on endpoint and depth: Search basic/fast/ultra-fast costs 1 credit, Search advanced costs 2 credits, Extract basic costs 1 credit per 5 successful URL extractions, Extract advanced costs 2 credits per 5 successful URL extractions, Map costs 1 credit per 10 successful pages or 2 credits per 10 pages when natural-language instructions are used, Crawl combines Map and Extract costs, and Research has dynamic request boundaries.
Rating4.44.3
Features
Semantic web searchContent extraction with highlightsDeep research agentsConfigurable latencyToken efficient excerpts
Real time web searchStructured chunked outputPII and security filters99.99% uptime SLALLM provider integrationsMultiple endpoints (search, extract, crawl, research)
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