These 55 models can search the web in real-time, providing up-to-date information with source citations. Essential for research, fact-checking, and any task requiring current data beyond the model's training cutoff.
Web search models can query the internet during inference, retrieving current information that goes beyond their training data cutoff. This means accurate answers about recent events, stock prices, weather, and breaking news.
Unlike standard models that generate text from training data alone, web search models can cite their sources. This makes them ideal for research, journalism, and any use case where verifiability matters.
Web-grounded models are less prone to hallucination on factual queries because they can verify claims against live web content. This is especially valuable for technical documentation and rapidly evolving fields.
Market research, competitive analysis, news summarization, fact-checking, real-time Q&A, and any workflow where your AI needs access to the latest information from the internet.