# Artificial Analysis ranks Keenable Search 1.0 first and second on search index

> Original title: Keenable Search 1.0 takes 1st (pro, 83) and 2nd (realtime, 82) on the Artificial Analysis Search Index: ahead of Exa (auto, dynamic highl...

- Source: Artificial Analysis
- Published: 2026-11-10T16:45:09.000Z
- Bad Influence: https://badinfluence.news/items/jil17idnj8btz3qgsyhodyrrb
- Original: https://x.com/ArtificialAnlys/status/2120196073105023164

## Summary

Artificial Analysis ranks Keenable Search 1.0 first and second on its Search Index, with pro scoring 83 and realtime 82, ahead of Exa and Perplexity at 80. Both modes lead on DeepSearchQA at 88 F1 and cost about $0.040 per task at $4 per 1k searches, over a third below the board median. Realtime and pro return results in 15.0 and 15.5 seconds per task, placing second and third among the products measured.

## Post

Keenable Search 1.0 takes 1st (pro, 83) and 2nd (realtime, 82) on the Artificial Analysis Search Index: ahead of Exa (auto, dynamic highlights) and Perplexity (medium) at 80

We benchmarked both modes of @KeenableAI's Keenable Search 1.0, pro and realtime, in our Stirrup agent harness with Keenable Search as its web_search tool to complete 1700 search-focused tasks.

At $4 per 1k searches, Keenable costs about $0.040 per task in both modes, over a third below the board median ($0.063). It is also one of the fastest products we measure: 15.0s (realtime) and 15.5s (pro) per task, 2nd and 3rd on the board.

Key benchmarking results for Keenable Search 1.0:

➤ Artificial Analysis Search Index: Keenable (pro) scores 83 and Keenable (realtime) 82, up from 67 for both modes when we first benchmarked Keenable in August, and a ~50-point lift over the same model with no search (33). Both lead Exa (auto, dynamic highlights) and Perplexity (medium) at 80

➤ DeepSearchQA is Keenable's strongest benchmark: both modes score 88 F1, 1st and 2nd of 26, ahead of Exa (auto, dynamic highlights) at 86. Pro also ranks 1st on BrowseComp (87%, level with Perplexity (medium)) and on AA-Omniscience (73%, level with Exa (auto, dynamic highlights) and Firecrawl)

➤ Fast search: realtime takes 2.3s of search time per task (2nd of 26) and pro 3.0s (3rd), against a board median of 12.5s. Each search returns in about 330ms (realtime) and 390ms (pro) on average

Key details:

➤ Setup: GPT-5.6 Luna (medium) in Stirrup, Keenable Search API with mode=realtime and mode=pro

➤ Pricing: $4 per 1k requests in both modes (public pay-as-you-go price)

➤ Cards: We disabled Keenable's search cards for testing (disable_cards=true)

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