GPT-4 is a deep learning model developed by OpenAI that is capable of accepting both image and text inputs and emitting text outputs. It has achieved human-level performance on various professional and academic benchmarks, although it is less capable than humans in many real-world scenarios. GPT-4 is a large multimodal model that has been trained on a vast corpus of data in order to learn to generate coherent and contextually appropriate text in response to various inputs. It has been designed to be more reliable, creative, and able to handle much more nuanced instructions than its predecessor, GPT-3.5. GPT-4's capabilities have been tested on a variety of benchmarks, including simulating exams that were originally designed for humans. OpenAI has also open-sourced OpenAI Evals, a framework for automated evaluation of AI model performance, to allow anyone to report shortcomings in their models to help guide further improvements.
Advanced AI Models: The application features the latest models, including GPT-5.6 Sol, designed for real-world utility with advanced intelligence and multimodal capabilities.
Enhanced Security Features: It includes a robust layered security system to protect against misuse, with real-time monitoring and automated red teaming to identify vulnerabilities.
Customizable Agent Creation: Users can build and optimize agents using the Agents SDK and Responses API, allowing for tailored workflows across various systems.
Comprehensive Data Analysis: The application provides tools for data analysis, reporting, and knowledge discovery, enhancing decision-making processes.
Flexible Pricing Structure: It offers a pay-as-you-go pricing model based on token usage, with different tiers for input and output costs across various model sizes.
Streamlining analysis, reporting, forecasting, and operational workflows in finance to enhance speed and accuracy.
Accelerating development cycles in engineering through models that assist in writing, reviewing, debugging, and refactoring code.
Enhancing customer support by automating issue resolution and handling customer queries efficiently.
Generating high-quality content across various formats to align with brand identity in marketing.
Utilizing AI tools for lesson planning, tutoring, and educational support to improve learning outcomes.
Enhances productivity across various workflows by providing AI-driven tools for writing, research, coding, and problem-solving.
Streamlines data analysis and reporting, enabling faster insights and improved decision-making for data teams.
Accelerates design processes by facilitating ideation, prototyping, and content generation through AI assistance.
Improves sales efficiency with automated account research and real-time customer insights, leading to quicker deal closures.
Strengthens security measures by enabling faster threat investigation and automating response workflows, enhancing overall protection.
GPT-5.6 Sol: Input at $5.00 per 1M tokens, Output at $30.00 per 1M tokens.
GPT-5.6 Terra: Input at $2.50 per 1M tokens, Output at $15.00 per 1M tokens.
GPT-5.6 Luna: Input at $1.00 per 1M tokens, Output at $6.00 per 1M tokens.
Caching: Cached writes billed at 1.25 times the model's non-cached input rate; cached reads receive a 90% discount.
Performance: Up to 750 tokens per second available for GPT-5.6 Sol on Cerebras starting July 2026.
