OpenAI has expanded its developer platform with two “deep research” models—o3-deep-research-2025-06-26 and o4-mini-deep-research—designed for complex analytical tasks that require access to private or proprietary data. The company simultaneously enabled native web-search functionality in the existing o3, o3-pro and o4-mini models, allowing them to retrieve real-time information as part of their reasoning processes. Web-search calls now cost US$10 for every 1,000 queries, a price cut intended to spur broader adoption. The new deep-research endpoints are priced at US$10 per one million input tokens and US$40 per one million output tokens, making a single intensive query potentially run to tens of dollars, according to early user tallies. The release also introduces webhooks for API event notifications, giving developers a way to trigger downstream actions whenever a model completes a task. OpenAI said further details will be outlined at its DevDay 2025 conference as it courts enterprise and independent developers looking to build more sophisticated AI workflows.
OpenAI's new Deep Research API costs up to ~$30 per API call! These new Deep Research API endpoints might just be the new fastest way to spend money Across our 10 deep research test queries, we spent $100 on o3 and $9.18 on o4-mini. How do the costs get so big? High prices and https://t.co/jHkj2Rx3zm
OpenAI’s new flagship model GPT-5 is nearly here. Industry insiders say it could be a game-changer—or just another overhyped upgrade. https://t.co/8GH327O9qA
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