GPT-5 Mini
Strong general-purpose model with excellent classification and extraction capabilities.
Average Score
2.4Best Task
ExtractionWin Rate
42%
Performance by Task
Top Prompts for GPT-5 Mini
Prompts where this model performs best
Quote and Citation Extractor
The Quote and Citation Extractor identifies and organizes quotes and citations from academic or professional texts, providing a structured JSON array that includes the exact text, the speaker or author, contextual information, and the type of citation. This tool is useful for researchers and writers who need to compile and reference sources efficiently.
Sentiment Analysis
This tool evaluates the sentiment of a provided text, categorizing it as positive, negative, neutral, or mixed, while also offering a confidence score and a brief rationale for the classification. It is useful for understanding public opinion, customer feedback, or emotional tone in various types of content.
extract_contact_information
Esto extraer la informacion que el usuario proporciono a lo largo de platica
Topic Classifier
The Topic Classifier analyzes a given text and assigns it to one or more predefined categories, providing a primary category, additional relevant categories, a confidence score, and key terms that influenced the classification. This tool is useful for organizing content, enhancing searchability, and improving data categorization in various applications.
sport-routine-to-program-short
This template extracts and organizes exercise routines from a provided follow-along video script, formatting them into a clear markdown structure that includes the routine name, required equipment, and a list of exercises with specified repetitions or duration. It is useful for fitness professionals or enthusiasts looking to create structured workout plans from video content.
react-multi-input-json
The react-multi-input-json prompt facilitates structured interactions by guiding the agent to respond to user queries using a JSON format, allowing for the integration of various tools to enhance accuracy and relevance in answers. It is particularly useful for applications requiring systematic processing of user input and tool utilization in a conversational AI context.