GPT-4o Mini Search Preview
GPT-4o Mini Search Preview is OpenAI's compact, cost-efficient search-grounded model, combining the low-latency GPT-4o Mini architecture with integrated web retrieval. It is designed for applications where budget and speed matter but factual grounding is still required — a practical middle ground between fully offline models and more expensive search-capable alternatives.
As a preview release, it targets developers building search-augmented products who want to evaluate live web retrieval without committing to the cost of larger models. Its smaller size means slightly reduced reasoning depth compared to full GPT-4o Search, but it handles straightforward factual queries, current-events lookups, and retrieval-augmented generation tasks capably.
Key Features
Web search integration for real-time factual retrieval
Low cost per token relative to full GPT-4o Search
Fast response times suitable for latency-sensitive applications
Source citations alongside generated answers
Multi-turn conversational support with grounded context
Practical for high-volume search-augmented workloads
Ideal Use Cases
Budget-conscious chatbots needing live web data
Search-augmented FAQ or helpdesk products
Lightweight news or current-events query handling
Prototyping retrieval-augmented generation pipelines
High-volume factual lookup tasks where cost is a constraint
Example Prompts for GPT-4o Mini Search Preview
Technical Specifications
| Provider | OpenAI |
| Category | Search |
| Modality | Text -> Text (web-grounded) |
Frequently Asked Questions
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