Tavily sells web search to AI agents through a credit system. The free Researcher plan includes 1,000 API credits each month with no card required. Pay as you go costs $0.008 per credit, and the Project plan costs $30 per month for 4,000 credits with higher rate limits.
That pricing is simple, but it is not the cheapest way to run a high-volume agent. Several providers publish lower per-request rates, and each one returns a different shape of data. This page compares the five alternatives that developers ask about most.
One warning before the numbers. Tavily states that credits are consumed according to the request type, so deeper or higher-volume requests cost more than a basic search. The multipliers live in its documentation rather than on the pricing page. That means $0.008 is the price of a credit, not the price of a search.
What does each provider cost per 1,000 searches?
Tavily pay as you go works out at $8 per 1,000 credits, because each credit costs $0.008. The Project plan is slightly cheaper at $7.50 per 1,000 credits if you use the full 4,000. Both figures assume one credit per search, which Tavily does not guarantee for advanced requests.
Exa publishes three search prices. Lite costs $4 per 1,000 requests, Auto costs $7 and Deep costs $12. Brave charges $5 per 1,000 searches on its standard plan. Perplexity charges $5 per 1,000 standard requests, or $1 on its fast search mode.
Serper is the outlier. A $50 top-up buys 50,000 credits, which is $1 per 1,000 queries, and the rate falls to $0.30 at the largest pack. Firecrawl does not sell searches directly, but its Hobby plan equates 5,000 credits to 2,500 searches for $19, which is about $7.60 per 1,000.
Those numbers are not interchangeable. Serper returns Google results, Brave returns its own index, and Exa returns neural matches. A $1 query and a $12 query can both be correct purchases for different jobs.
Why do teams leave Tavily?
The first reason is billing predictability. Tavily charges per credit, and the credit cost changes with the request type. A team that budgets from the headline rate can be surprised when deeper searches consume more credits than expected.
The second is the ceiling on self-serve plans. Tavily lists a free tier, pay as you go, a $30 Project plan and Enterprise. Any volume above 4,000 monthly credits on a fixed plan runs through sales, which slows down teams that scale quickly.
The third is credit exhaustion. Tavily’s own FAQ says that requests stop when monthly credits run out, until the balance resets or the account is upgraded. That behaviour is fine for prototypes and awkward for production agents that cannot pause.
None of this makes Tavily a bad product. It means the right alternative depends on whether you are optimising for price, for an independent index, or for a data shape that your pipeline already understands.
Which alternative fits which job?
If raw cost is the only constraint and Google results are acceptable, Serper wins clearly. At $1 per 1,000 queries it is eight times cheaper than Tavily pay as you go, and the largest pack cuts that to $0.30.
If you are building retrieval for a RAG system, Exa is the closest match. Its Contents endpoint returns full page text at $1 per 1,000 pages, and its search endpoints are priced separately so you can choose depth per call.
If independence from Google matters, Brave is the strongest option. The company states that no query falls back to another engine, and the $5 monthly credit covers small projects without a card.
If you only need ranked snippets and will run your own model, Perplexity’s Search API is the cleanest fit. It bills per successful request, ignores extracted text length, and lets five queries share one billing unit.
If your agent must open pages and follow links, Firecrawl replaces search and scraping in one bill. That is usually cheaper than pairing a search API with a separate crawler.
What changes when you switch?
Every provider returns a different JSON schema. Tavily returns results with relevance scores and an optional answer field. Exa returns neural matches with highlights. Brave returns web, news and image blocks. Serper mirrors Google’s organic results. None of these are drop-in replacements.
Billing units also differ. Tavily sells credits, Exa sells requests, Serper sells prepaid credits that never expire on a subscription clock, and Firecrawl sells credits shared by search and crawl. Model the monthly bill from your real query mix before you migrate.
The safe method is a fixed test set. Take fifty real queries from your logs, run them against two providers, and compare result quality, latency and total cost. Published price tables tell you the invoice, not whether the results are good enough.