How to switch from OpenAI web search to Parallel Search API

OpenAI charges $25 per 1,000 web search calls for non-reasoning models like GPT-4o and GPT-4.1 and $10 for reasoning models like GPT-5, with additional costs for search context tokens, which can quickly increase expenses in production. In contrast, Parallel's Search API offers a cost-effective alternative at $5 per 1,000 requests, including compressed, query-relevant excerpts and no token fees, resulting in significant savings and higher accuracy across benchmarks. The guide explains the advantages of switching to Parallel, detailing the migration process in Python and TypeScript, and emphasizes the flexibility and control users gain over search objectives, query results, and excerpt lengths compared to OpenAI's approach. Parallel's standalone infrastructure allows for structured JSON responses with ranked URLs and dense excerpts, which can be integrated into any language model's context window, offering enhanced efficiency and cost-effectiveness.

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