Added the parallel search api to the chart for completeness.
Replying to @perplexity_ai
Perplexity Search API achieves leading quality across single-step and deep research benchmarks, consistently outperforming competitors.

Sep 26, 2025 · 6:59 PM UTC

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Reported latencies for each call are impressive - but when an agent uses search, what really matters is (1) quality (2) end-to-end agent latency (3) total cost. We win on all 3. How? we spend more time and compute on each search call, so the agent has to do less work.
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Replying to @paraga
@paraga is there any chance we can get first party support for P0 on Cloudflare's AI Gateway? Recently moved from P0 to PPLX over this, but the response quality just is not the same @Cloudflare @dok2001
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Let's do it. @dok2001 can you please connect me to the right people on your side?
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Replying to @paraga
Does your API return just a list of URLs or is it formatted in markdown with content too?
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Response includes the most relevant content from each url. You can configure how much content per page.
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Replying to @paraga
Nobody comes close to @p0 in answer quality
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Replying to @paraga
need more space on the y-axis
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Replying to @paraga
Parallel is awesome! 🤩
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Replying to @paraga
chart looks better now
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Replying to @paraga
we are soo back
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Replying to @paraga
🔥
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Replying to @paraga
Shots fired
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Replying to @paraga
I was actually looking for you folks in the graphs because we have been using both @perplexity_ai and @p0 APIs at @overlayyai, now in production (thanks to @khushi_shelat for the credits) and we exactly know who performs better where
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Replying to @paraga
we got chad parag before gta6 🫡
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Replying to @paraga
Damn, I knew that was missing bc parallel would have beat them up badly. Great work @p0 team
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Replying to @paraga
That's what I'm talking about. People don't see this but @p0 is far much greater and better at this than @perplexity_ai
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Replying to @paraga
Finally got something done this week
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Replying to @paraga
Now we know what was done this week!
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Replying to @paraga
Interesting to see parallel search included in the comparison.
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Replying to @paraga
Are you the ex CEO of Twitter🤔??
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Replying to @paraga
@grok can you explain what's the difference in these both the images where we can see parallel web in one that parag shared and not in the other image can you clear this from the quoted post of what parag is actually explaining and referring to
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Replying to @paraga
Is the cost comparable to perplexity sonar ?
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Replying to @paraga
@WilliamBryk @ExaAILabs my experience of Exa is better than this bench suggests, have you ran it yourself?
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Replying to @paraga
nice touch adding that tho
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Replying to @paraga
Thank you i was really waiting for this!
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Replying to @paraga
I fucking love this
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Replying to @paraga
parallel seems like one of the most confusing names for a business
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Replying to @paraga
Up your PR game
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Replying to @paraga
Do you still rely on page SEO ranking to discover answers or content
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Replying to @paraga
*mic drop* lmao
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Replying to @paraga
This is cool. I was wondering where does parallel search api come in this chart. Do you build your own index too or this is post processing of third party
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Replying to @paraga
Exactly this! The "upfront compute vs downstream efficiency" trade-off is crucial for AI agents. We're seeing similar patterns in RAG systems - better retrieval quality reduces hallucinations and follow-up queries. Quality search APIs become force multipliers for agent workflows. Smart optimization strategy.
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Replying to @paraga
What did you get done this week?
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