Use our main calculator for more detailed estimates including input/output combinations.
Key Features
Specialized for programming tasks
Advanced debugging capabilities
Optimized code generation
Streamlines developer workflows
Common Use Cases
Software development
Debugging complex codebases
Application development
Technical support for developers
Frequently Asked Questions
What are the main categories of models offered by OpenAI as of late 2024?
OpenAI offers several model families: the cutting-edge GPT-4o series (including the flagship GPT-4o and the more powerful GPT-4o Plus, plus the cost-effective GPT-4o Mini) for advanced multimodal tasks, the specialized o1 series (o1-Preview, o1-Mini) for state-of-the-art reasoning, and older models like GPT-3.5 Turbo for efficient text generation. They also provide models for image generation (DALL-E 3) and other specific tasks.
How does OpenAI handle token pricing for its newer models like GPT-4o Plus and o1 series?
OpenAI continues to charge per 1,000 tokens, with distinct rates for input (prompt) and output (completion) tokens. More advanced models like GPT-4o Plus and the o1 series generally have higher per-token costs, reflecting their enhanced capabilities. Cached input pricing is often available at a discount (typically 50%) for repeated prompts.
What distinguishes OpenAI's GPT-4o models from the o1 series?
The GPT-4o series (GPT-4o, GPT-4o Plus, GPT-4o Mini) are OpenAI's primary multimodal models, excelling at natively handling text, audio, images, and even video inputs/outputs with impressive speed and efficiency. The o1 series (o1-Preview, o1-Mini) is more specialized, focusing on achieving new frontiers in complex reasoning, mathematical abilities, and logical deduction, often at a higher price point for those specific capabilities.
What is the typical context window size for OpenAI's latest models?
For the latest generation models like GPT-4o Plus, a 256K token context window is becoming standard. Other models like GPT-4o and the o1 series typically offer 128K token context windows. This allows for processing very large amounts of information in a single interaction.