Jina
Rich web search results for agents, but this free-tier run was incomplete and not comparable.
Strong content output on the easy subset, but the run hit the free-tier wall.
- You can run on paid credits and want very large extracted page text back from live web queries.
- Your workload is mostly straightforward current-fact or freshness lookups.
- You are evaluating search results, not answer-mode citation checks.
- You need a free-tier tool that can finish a 40–60 query benchmark.
Our take
Jina’s search mode can return very large, LLM-friendly page text on the queries it completes, and the easy completed subset posted solid retrieval numbers. But the free tier exhausted mid-run, leaving 36/52 calls at HTTP 402 and no answer-mode citation data, so this run is not comparable to the other tools.
In-Depth Review
Our detailed analysis of Jina — features, performance, and real-world testing.
Feature-by-Feature Breakdown
Ranked live web search with extracted page textWorks on the easy completed queries, but the benchmark stops short of a full comparison because quota runs out mid-run.▾
Feature tested: Ranked live web search with extracted page text
Result: Partial
Verdict: Works on the easy completed queries, but the benchmark stops short of a full comparison because quota runs out mid-run.
Expected behavior: Searches the live web from a plain query string and returns ranked results with extracted page text. In this run it completed the ten current-fact queries and six freshness probes; the report says the 16 successful calls reached top-1/top-3/top-10 of 31% / 56% / 75%, with a median of 197,642 characters per result and 0% published dates.
Test case: Text prompt → Text prompt
Input type: Text prompt
Input used: Input artifact (Text prompt): INPUT
Observed output: Output artifact (Text prompt): OUTPUT
Input artifact: Input artifact (Text prompt): INPUT
Output artifact: Output artifact (Text prompt): OUTPUT
What changed: Text prompt transformed into Text prompt
Test case: Text prompt → Text prompt
Input type: Text prompt
Input used: Input artifact (Text prompt): INPUT
Observed output: Output artifact (Text prompt): OUTPUT
Input artifact: Input artifact (Text prompt): INPUT
Output artifact: Output artifact (Text prompt): OUTPUT
What changed: Text prompt transformed into Text prompt
Why it matters / Conclusion: Useful on the queries that completed, but the free-tier allowance stopped the benchmark after 16/52 calls, so the published accuracy only reflects the easiest completed subset.
Searches the live web from a plain query string and returns ranked results with extracted page text. In this run it completed the ten current-fact queries and six freshness probes; the report says the 16 successful calls reached top-1/top-3/top-10 of 31% / 56% / 75%, with a median of 197,642 characters per result and 0% published dates.
How it scored on the research's own criteria
The 11 evaluation dimensions from our hands-on research on Jina, each judged from recorded runs on 1 test input — the same verdicts the ranking page ranks on.
held up partial failed not exercised by this input
| Criterion | Verdict | What the runs showed | Per input | Proof |
|---|---|---|---|---|
| Ambiguity handling | Weak1/5 | It never got past the account block on the ambiguity set, so we still do not know whether it can separate lookalike entities or just return the wrong one. | open proof ↗ | |
| Answer quality (answer APIs) | Weak1/5 | Because the answer endpoint never returned a real answer, there is no basis to say whether it would be correct or whether it would abstain when it should. | open proof ↗ | |
| Citation accuracy (answer APIs) | Weak1/5 | Its answer API was blocked before any cited claim could be checked, so citation accuracy remains completely unverified. | open proof ↗ | |
| Extraction quality | Mixed3/5 | When it did return a page, the payloads were rich and text-heavy, but the content-depth block never completed, so clean extraction looks promising but not proven on the harder pages. | open proof ↗ | |
| Freshness | Mixed3/5 | It could surface some fresh results, but only about half the freshness queries reached the top three and it never exposed dates, so recency support is partial rather than dependable. | open proof ↗ | |
| Long-tail coverage | Weak1/5 | It never finished any of the niche technical questions, so there is no evidence that it can handle sparse long-tail searches on this run. | open proof ↗ | |
| No-answer behaviour | Weak1/5 | It never reached the no-answer questions, so there is no evidence that it would politely refuse instead of guessing. | open proof ↗ | |
| Relevance @ top-k | Strong4/5 | It found supporting pages in the early results often enough to be useful, but the headline numbers come from the easiest third of the set, so this is strong retrieval rather than standout retrieval. | open proof ↗ | |
| Cost per 1k queries | Weak2/5 | It gives you token counts, but not a clean comparable price per thousand queries, so cost is observable yet not easily rankable against flat-rate tools. | open proof ↗ | |
| p50 / p95 latency | Weak2/5 | The latency numbers are real and complete, but they are very slow in absolute terms, so this is measured well but feels heavy for interactive use. | open proof ↗ | |
| Stability | Weak1/5 | There was no overlap between the two runs, so ranking repeatability could not be checked at all and the tool is effectively unscorable for stability this round. | open proof ↗ |
Verdicts come verbatim from the study's recorded observations, never re-derived at render; a criterion with no recorded run shows Not exercised — this section cannot invent a score.
Featured in Rankings
Independent rankings where Jina was tested and rated.
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