Tavily vs Jina
Tavily versus Jina for AI agents — hit@k accuracy, freshness lag, cost per verified-correct answer, and agent-readiness, scored against golden truth.
Tavily and Jina are compared on the verified web_extraction-2026-q2 snapshot below; they are not both scored on web_search this snapshot.
Head to Head — Web Extraction
| Metric | Tavily | Jina | Winner |
|---|---|---|---|
| fidelity 0-1 | 0.62 | 0.54 | Tavily |
| phrase recall | 0.54 | 0.59 | Jina |
| boilerplate excl. | 0.68 | 0.26 | Tavily |
| cost/correct $ | — | — | — |
| coverage % | 98.7 | 99.3 | Jina |
Which Should an Agent Pick?
For accuracy-first agent workloads, compare hit@5 (the only web-search metric measured this snapshot — cost, freshness and latency are pending). Both Tavily and Jina should be evaluated on your own query mix; web_search figures are over a 299-query public split (n=299).
Illustrative prototype. No verified vendor run has been published yet; every figure here is a placeholder and must not be cited as a measured result. Numbers are replaced when a snapshot’s first full run lands.