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Benchmarked comparison

Exa vs Tavily

vs
The verdictExa leads on cited answers and research (7.9 vs 7.13).

Choosing between Exa and Tavily? Both are search providers you can call through a single Auxiliar key, so the honest answer is usually “use whichever wins the job in front of you” — and with one key and one bill, you don’t have to commit to either.

We ran both on the identical curator-fleet corpus. Exa leads on cited answers and research (7.9 vs 7.13). On the headline test (cited answers and research), Exa scored 7.9/10 (correctness 1.00) versus 7.13/10 for Tavily. The full measured breakdown is below.

Measured, side by side

Composite score /10 on each shared capability, from the Auxiliar curator fleet — same corpus for both.

CapabilityExaTavilyWinner
AnswerCorrectness7.91.00 · #1/77.131.00 · #4/7Exa
SearchRecall@106.70.61 · #6/116.660.58 · #7/11Exa

Beyond the overlap

Capabilities each provider scored on that the other doesn't cover.

Exa also does

Nothing extra in the tested set.

Tavily also does

  • Crawl

Exa — choose if

You want semantic discovery, 'find similar', research, or a built-in /answer endpoint.

Tavily — choose if

You want the agent/RAG default that returns a relevance score and optional answer in one call.

Exa — avoid if

You need full keyword/SERP parity — content and summary bill per page per type and stack.

Tavily — avoid if

You need per-result dates or a documented compliance/SLA posture.

One key. Every provider on this page.

Stop juggling signups and invoices. One Auxiliar API key calls all of them — upstream keys injected server-side, usage billed to a single balance. Swap the base URL and go.

curl https://api.auxiliar.ai/serper/search \
  -H "Authorization: Bearer $AUXILIAR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"q": "latest ai agent news"}'

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