Keenable Search 1.0 登顶 Artificial Analysis 搜索基准
搜索 API 榜单换人了：Keenable Search 1.0 超过 Exa 和 Perplexity 拿下前二，DeepSearchQA 上 88 F1 排第一，搜索延迟只有 2-3 秒，价格还比中位数便宜三分之一。给 agent 接 web_search 的开发者可以直接对比这三家。
Keenable Search 1.0 在 Artificial Analysis Search Index 上拿下第一和第二名：pro 模式得 83 分，realtime 模式得 82 分，超过 Exa（auto, dynamic highlights）和 Perplexity（medium）的 80 分。相比 8 月首次评测时的 67 分提升了 16 分，而无搜索的同款模型仅 33 分。
DeepSearchQA 是它最强的一项，两种模式均拿到 88 F1，在 26 个产品中排前二，高于 Exa 的 86；pro 模式还在 BrowseComp（87%）和 AA-Omniscience（73%）上并列第一。速度方面同样突出：realtime 每个任务仅用 2.3 秒搜索时间（第二），pro 用 3.0 秒（第三），远低于 12.5 秒的中位数，单次搜索平均约 330ms（realtime）/390ms（pro）。
定价为 $4/千次请求，两种模式相同，按任务算约 $0.040，比榜单中位数 $0.063 低超过三分之一。评测在 Stirrup agent 框架中进行，用 GPT-5.6 Luna (medium) 驱动 1700 个搜索任务，测试时关闭了搜索卡片功能（disable_cards=true）。
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)
This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Keenable, Exa, Perplexity, 搜索API.
Source attribution: curated from Artificial Analysis (@ArtificialAnlys).
