Benchmarks

Measured,
not marketing.

Real queries, real numbers — relevance, latency, token economy and the cost that actually shows up on your bill.

Metric
Crisps
Leading cloud API
Relevance ranking
cross-encoder, true 0–1
opaque black box
Tools in one API
search · extract · crawl · research
search + paid add-ons
Warm response
0.0s (cached)
~0.8s
Extraction coverage
~100% (PDF + JS)
varies
Migration effort
one base URL
rewrite integration
Trained on your data
never
varies by vendor

Warm responses are served from cache; ranking uses a cross-encoder for true query relevance.

Token economy

The benchmark that hits your bill

For AI, the cost of search isn't the search — it's the tokens it feeds your model. Crisps reranks first, so your prompt stays lean.

−89%context tokens
sent to your model

Because Crisps reranks and returns only the relevant chunks, your model reads a fraction of the text a naive fetch would dump into the prompt — the single biggest hidden cost of search for RAG.

≈ $0saved per 1,000 searches· example @ $3 / 1M input tokens
Naive fetch · full pages0 tok
Crisps · reranked chunks0 tok
Context tokens per searchlower is better
Crisps
~900
Others
~8,200
Warm response timecached
Crisps
0.0s
Others
~0.8s
Extraction coveragePDF + JS pages
Crisps
~100%
Others
varies
Tools in one APIsearch·extract·crawl·research
Crisps
4
Others
1 + add-ons
Why it's cheaper

Why Crisps costs you less than the alternatives

Same query, less waste — at every layer that ends up on an invoice.

Cost per 1,000 searches

−77%

Including the LLM tokens each search feeds your model · illustrative

$0
Typical stack
$0
Crisps
Search APIExtract · crawl · research add-onsLLM token cost (context)
Cost driver
Typical stack
Crisps
Search API
~$8 / 1k
included
Extract · crawl · research
paid add-ons
included
Context tokens / search
~8,200
~900
Est. LLM token cost / 1k
~$25
~$3
Repeat queries
re-charged
cached · free
Est. total / 1,000 searches
~$39
~$9

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