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AI Models & Assistants / Knowledge library
GPT-4o Search Preview
GPT model for web search in Chat Completions
Why learn GPT-4o Search Preview?
Offers the documented OpenAI model capabilities through hosted.
The problem it solves
Provides model inference for supported text inputs.
Where it came from
GPT-4o Search Preview: GPT model for web search in Chat Completions Published aliases: gpt-4o-search-preview-2025-03-11. Input: text. Output: text. Checked 2026-10-13. Model capabilities are distinct from tools available in a particular agent.
Build your understanding
Work through these exercises in order. Try the task before opening a reference.
- Explain what GPT-4o Search Preview does.
- Identify a use case for GPT-4o Search Preview.
- Describe a limitation of GPT-4o Search Preview.
- Name a compatible tool for GPT-4o Search Preview.
- Compare GPT-4o Search Preview against an alternative.
Documentation and sources
- Primary source / model card (developers.openai.com)
Catalog research notes
- See the AI Workbench for source dates, pricing evidence and configuration details.
Connect the ideas
Built on
Real World Example
Real-Time Regulatory Compliance Monitoring
Global financial institutions needing to track rapidly changing international trade sanctions and compliance updates.
The business problem
Manual monitoring of government regulatory portals is slow and prone to human error, leading to potential compliance breaches when new sanctions are published without immediate internal notification.
How this topic solves it
The institution integrates the gpt-4o-search-preview model into their internal dashboard. By utilizing the Chat Completions API, the system automatically triggers web search queries when a user requests a status update on a specific jurisdiction, ensuring the model retrieves the most recent, authoritative regulatory documents rather than relying solely on its internal training data.
- Configure the Chat Completions API endpoint to use the gpt-4o-search-preview model ID.
- Define a system prompt that instructs the model to prioritize web search results for regulatory queries.
- Implement a monitoring loop that triggers API calls when specific keywords related to trade sanctions are detected in news feeds.
- Parse the model's output to extract specific compliance requirements and update the internal database.
- Monitor tool call usage to manage costs associated with frequent web searches.
This diagram illustrates how the system processes regulatory updates using the search-enabled model.
Interface for gpt-4o-search-preview
External data retrieval
Storage for updated policies
- Compliance Dashboard → Query Request → Chat Completions API
- Chat Completions API → Execute Search → Web Search Tool
- Web Search Tool → Return Snippets → Chat Completions API
- Chat Completions API → Update Policy → Compliance Database
Implementation example
This code snippet demonstrates how to invoke the gpt-4o-search-preview model to fetch real-time regulatory information.
client.chat.completions.create(
model="gpt-4o-search-preview-2025-03-11", # Use specific snapshot
messages=[{"role": "user", "content": "What are the latest trade sanctions for Region X?"}]
# The model automatically triggers web search via the tool interface
)Expected business outcome
The institution achieves a more agile compliance posture, significantly reducing the time gap between the publication of a new regulation and its integration into internal risk assessment workflows.
Limitations and checks
The model relies on external web search results, which introduces latency and potential dependency on the availability of third-party regulatory websites. To check for degradation, developers should monitor the tool call success rate and the relevance of the retrieved search snippets.