DeepSeek Search 上架 Artificial Analysis 搜索指数：69 分排第 17，价格全场最低
DeepSeek 的搜索 API 被第三方跑分了：69 分排中游，但 $0.75/千次的价格全场最低，预算敏感的开发者可以看看这份拆解。
DeepSeek 于 10 月 17 日上线 Search API，在 Artificial Analysis Search Index 得 69 分，排 27 个产品中的第 17 名，比无搜索的同一模型（33 分）提升 36 分。定价 $0.75/千次搜索，是榜单上最便宜的付费搜索 API，低于 $1 的 Octen 和 Parallel。单项看，AA-Omniscience 得 70%，排第 10；BrowseComp 得 63%，排第 25。实测中每次搜索返回约 7k token，128 字符的查询长度限制导致 6% 的搜索被拒，模型成本约 $0.023/任务，为榜单第二高。
DeepSeek Search debuts on the Artificial Analysis Search Index at 69, 17th of 27 search products, at the lowest price of any paid Search API on the board
@deepseek_ai launched its Search API on 17 October. We benchmarked it in our Stirrup agent harness, where GPT-5.6 Luna (medium) calls DeepSeek Search as its web_search tool to complete a combination of tasks from BrowseComp, DeepSearchQA and AA-Omniscience.
At $0.75 per 1k searches, DeepSeek Search costs less per search than any other paid Search API we benchmark, below Octen, Parallel (turbo) and Parallel (fast) at $1. At about $0.032 per task, it is the 5th cheapest of 27 products, cheaper than 20 of the other 25 Search APIs (median $0.066) and level with Nimble (lite). TinyFish, Octen, Parallel (turbo) and Parallel (fast) cost less.
Key benchmarking results for DeepSeek Search:
➤ Artificial Analysis Search Index: DeepSeek Search scores 69, a 36-point lift over the same model with no search (33). It sits between TinyFish at 71 and Linkup (standard) at 68
➤ AA-Omniscience is DeepSeek Search's strongest benchmark: it scores 70% accuracy on our proprietary factual answer benchmark. This ranks 10th of 27, 3 points behind the joint leaders, Exa (auto, dynamic highlights) and Firecrawl (73%). BrowseComp, which needs multi-hop reasoning across several searches, is its weakest benchmark: at 63% it ranks 25th of 27, well behind the Perplexity variants and Octen (85% to 87%)
➤ Large search results: each search returns about 7k tokens, near the top of the board's range. Each result carries about 1.8k characters of passages from the page. This raises model cost: at about $0.023 per task, DeepSeek's model cost is the 2nd highest on the board, behind Linkup (flash, alpha) at $0.039
➤ 128-character query limit: DeepSeek rejects queries longer than 128 characters. 6% of the agent's searches hit this limit, and for 87% of these, the model's first shorter rewrite worked
Key details:
➤ Setup: GPT-5.6 Luna (medium) in Stirrup, DeepSeek Search API with need_content=false (page passages, no full page content) and 10 results per search
➤ Pricing: $0.75 per 1k successful searches. DeepSeek does not bill empty results
➤ Rate limit: 5 searches per second per account
