unlob vs the OpenAI web search tool
OpenAI’s built-in search tool needs no integration if you are already on the Responses API — and gives you no control over retrieval.
Verified 5 August 2026·Figures from vendors' own pages
Price
| Provider | Own index? | $ / 1,000 queries | Source |
|---|---|---|---|
$29 per month for 50,000 requests. | Yes Our own crawl and index | $0.58 | This page |
$199 per month for 500,000 requests. | Yes Our own crawl and index | $0.40 | This page |
When OpenAI web search tool is the better choice
A comparison page that cannot name a scenario where the competitor wins is an advertisement. Here are the real ones.
Choose OpenAI web search tool
- Zero integration effort inside an existing OpenAI application.
- One vendor, one bill, one support relationship.
- Good enough for straightforward question answering.
Choose unlob
- Control over retrieval — around 30 filters, three modes, explicit sorting and deduplication.
- Model independence.
- Graph traversal and coverage auditing.
- Predictable per-query pricing rather than a tool call billed inside a larger request.
The substantive differences
| OpenAI web search tool | unlob | |
|---|---|---|
| Control | The model decides what to search and what to use. | You issue the query and the filters. |
| Portability | Tied to the OpenAI Responses API. | Any model, any framework, or none. |
Sources
Every figure on this page was read from the vendor's own pricing page or funding announcement on the date shown.
- OpenAI web search tool: OpenAI pricingread 5 August 2026
Frequently asked questions
Why use a separate search API when OpenAI has one built in?
Control and portability. A built-in tool gives you no filters, no visibility into what was excluded, and no way to keep your retrieval layer if you switch models. For a prototype that is fine; for a product whose quality depends on retrieval, it is a lot to hand over.
Check the claims yourself
The free tier is 10,000 requests a month with no card. That is enough to test coverage, latency and result quality against your own queries — which is a better comparison than this page.